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{"poster":"Reported4Verbal","date":"2016-02-02T05:52:47.647+0000","title":"OCE ERROR/ QUEUE?","subforum":"Miscellaneous","up_votes":3,"down_votes":1,"body":"Who else???\r\n\r\nNow I got this...\r\nhttp://postimg.org/image/f1pfu7lst/\r\n\r\nanyone else?","replies":[{"poster":"Zaps","date":"2016-02-02T05:54:55.076+0000","up_votes":1,"down_votes":0,"body":"Thanks for the report, we're aware of this issue and are currently investigating - [check out this thread for updates](http://boards.oce.leagueoflegends.com/en/c/announcements/9rNOyg9Q-login-issues-and-client-disconnection-02022016) as we investgiate.","replies":[{"poster":"Reported4Verbal","date":"2016-02-06T23:44:30.716+0000","up_votes":1,"down_votes":0,"body":"Thanks!","replies":[]}]},{"poster":"BurnOutBrighter","date":"2016-02-02T05:53:21.916+0000","up_votes":1,"down_votes":0,"body":"Same here. Rito pls!","replies":[]}]} |
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"collections": [
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],
"description": "After Cherry Torn finishes her daily cleaning chores, she reports for afternoon maintenance with Maestro. The first part of her maintenance session is in multitasking. She is first asked polish a monster cock dildo with mouth while vibrating herself on the verge of orgasm and taking pain. Of course one cock isn't enough for this slut so we add another dildo and a real cock to keep this bitch working! Part to of her maintenance session is conversation with a single tail! As head slave of The Upper Floor it is very import that she is versed at all times in numerous implements",
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{
"name": "James Mogul",
"person_id": 53
}
],
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}
],
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"Dildo",
"Discipline",
"Female Slave",
"Humiliation",
"master",
"natural boobs",
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"other hair color",
"Pain",
"Role Play",
"Rope Bondage",
"Rough Sex",
"shaved",
"Single Tail",
"Slave",
"slim",
"Straight",
"Tattoo",
"Threesome",
"white"
],
"title": "Slave torn is Stuffed and Whipped"
} |
{
"ja90:2.1": "Akataññujātakaṃ → akataññūjātakaṃ (sya1ed, sya2ed, pts-vp-pli1)"
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{"Reviews": [{"Author": "Tom F.", "ReviewID": "AkdDKT-OP4IiwKbLqhYIDQ", "Overall": "4.0", "Content": "Love the beer selection! I gave them a point because they had Avery on tap! Avery is an all time favorite brewery out in beer capital of the USA Colorado. The selection is fantastic and a beer night such as a Wednesday hint hint makes it a great place to drink downtown. Yeah cheap micros is always a plus! Food well it's ok but the word ale house means alcohol to me ! Food is optional.I'll be back because the selection of beers is a kickass and it's on the downtown bar hop tour.", "Date": "2014-05-21", "Author_Location": "Lancaster, NY"}, {"Author": "Jamie B.", "ReviewID": "Rs1HfXm8zqJCyewTFmFR5A", "Overall": "1.0", "Content": "A big FU to the waitress last night at the Carolina Ale House in Downtown Charlotte. \u00a0First, my two beer glasses were filthy. No apology, no acceptance of responsibility. \u00a0Second, we ordered wings and we were never asked if we wanted ranch or blue cheese, a very typical side item. \u00a0You also failed to provide plates for the bones. \u00a0Third, when I ordered a simple cheese burger, I told the waitress exactly what I wanted. She came back with all of those specific items missing and asked if there was anything else I would like. \u00a0I politely responded by mentioning those items and she said she would be right back, so I waited. \u00a015 minutes later, my burger is too cold to enjoy. \u00a0When she caught my eye, she said she remembered and will go get those items. \u00a0I said, never mind, just take my food and bring me the check, I'm done here. \u00a0However, I still felt obligated to tip. \u00a0Because, if I didn't tip, I'm sure she would have walked away and said; 'there goes another nigger that does not tip'. \u00a0And, I was not going to give her the satisfaction. \u00a0Besides, the bus boy and bartender did nothing wrong to lose my support. \u00a0So, she benefits because of them. \u00a0So, I gave the lowest amount I have in many years, 17%. \u00a0But, this waitress was f'n lousy. \u00a0Her name is Heather M (according to my sales receipt), so avoid her. \u00a0I'm sure the establishment is fine.", "Date": "2014-03-12", "Author_Location": "Indian Trail, NC"}, {"Author": "Kenny R.", "ReviewID": "wQ2KbabhqiHzFNYQ8e96lQ", "Overall": "3.0", "Content": "On one of the ice/snow days this winter, this place was one of the few places open. \u00a0They only had a limited menu consisting of mostly fried foods, which we weren't into. \u00a0So, I can not comment on the food.Carolina Ale House has a great beer menu as well. \u00a0But, for some reason they didn't actually have a lot of the beers. \u00a0I just wanted an IPA. \u00a0I asked for Bell's 2 hearted, the server came back and said they were out. \u00a0Same thing happened when I ordered a Hopsecutioner. \u00a0I finally just asked him, what do you have and it was a good IPA at a reasonable price for downtown Charlotte.I don't feel I got the true experience because of the inclemate weather, so I'll have to try again.", "Date": "2014-02-19", "Author_Location": "Charlotte, NC"}, {"Author": "Kim M.", "ReviewID": "888_kMbWcMz69f1yOdMt4w", "Overall": "1.0", "Content": "We were pretty excited to try this location. \u00a0From the outside it looked like a cool, inviting place. \u00a0It was as if we were bothering the staff by being there. \u00a0Several beers that were on the menu were out because of the \"busy\" weekend. \u00a0We were greeted with \"Need menus?\" and the unprofessionalism of staff was embarrassing. \u00a0I advise you to not get the chicken nachos either. \u00a0The meat was disgusting looking and it came out as soon as the order was placed as if it was just sitting there in the kitchen. We won't be back!", "Date": "2014-07-07", "Author_Location": "Charlotte, NC"}, {"Author": "Elisa G.", "ReviewID": "pilMZiklZ8HS95V6mmTj7g", "Overall": "4.0", "Content": "Great combo of southern food and sports bar, recommend the BBQ chicken, corn, and mashed potatoes platter!", "Date": "2014-06-29", "Author_Location": "Mountain Top, PA"}, {"Author": "L H.", "ReviewID": "pGg3z5psL_aDTag8fJQkYw", "Overall": "1.0", "Content": "Wow, just horrible. We were told to wait for our table, a booth, while they cleaned it and reset. Then watched 5 minutes later some dim-witted hostess give it away to another group because she didn't communicate with her coworkers. When we asked the manager about it, she kinda shrugged her shoulders and stated nobody was close to being done. Ummmm, yeah...reason why this place sucks. Put your head on people, these are restaurant basics. Can't run the door properly, then I can't imagine how bad everything else is. Don't even bother.", "Date": "2014-06-20", "Author_Location": "Santa Barbara, CA"}, {"Author": "NiNi L.", "ReviewID": "6zjJH42MHI9nitdxLyJ2mQ", "Overall": "1.0", "Content": "My sister and I are pretty great guest at restaurants. \u00a0We tip very well because we want everyone to have a living wage and feel that waiting is hard labor.We went to Carolina Ale House, sat down and waited...waited...and waited. \u00a0A young woman took our order but seemed annoyed at us for asking for food. \u00a0She didn't want to write it down and attempted to remember our order. \u00a0i figured it may have been a bad night but she was very attentive to other guest.The appetizer was way too salty to eat so we sat it to the side. \u00a0No need to complain because we had meals coming and honestly we shouldn't have been eating so late at night.We received the meals and a side was missing. \u00a0Another woman brought it to us and she was extremely pleasant. \u00a0We said thank you and she actually responded with your welcome. \u00a0Security was also pleasant.Unfortunately our meals were too salty to eat also so we bagged them to go but i don't know why. \u00a0We cant eat them.Overall:Pros: TV's close to tables, location, clean bathroomsCons:Uneatable salty foodNo refills on sodasPoor customer serviceParking", "Date": "2014-02-08", "Author_Location": "Charlotte, NC"}, {"Author": "Bob S.", "ReviewID": "N6gMrE4FybZsNEuL-S6VJQ", "Overall": "3.0", "Content": "Pretty much your standard up-scale sports bar.Stopped here with a group of 7 for before-the-game food and drinks for the ACC championship game. \u00a0Had to wait a bit for a table, but that was expected. \u00a0Once seated, the service was spotty to poor. \u00a0I think they had enough servers to cover, but our server would disappear for long stretches of time.Good beer selection, but they were out of a lot of it. \u00a0On a Saturday night. \u00a0Took several tries to get someone, ANYone, to bring us a missing set of silverware. \u00a0Oh, and the ketchup. \u00a0Oh, and where is the wrap that we ordered the same time as all the other food? \u00a0Remember that non-chipotle-ranch you were supposed to bring 15 minutes ago?Drink orders took a long time to materialize, too.It was a busy night. \u00a0I get it. \u00a0You're a high-volume sports bar. \u00a0You should get it, too.", "Date": "2013-12-14", "Author_Location": "Jacksonville, FL"}, {"Author": "Sue S.", "ReviewID": "rUW2bESYkCXtpCUnUzsINA", "Overall": "4.0", "Content": "Tasty. Service was prompt. Appreciated the TVs to watch games on. Food was good for a brewery.", "Date": "2014-06-14", "Author_Location": "Collingswood, NJ"}, {"Author": "Alexis G.", "ReviewID": "yY2Ss2fTk_r1wLn1DdbKCA", "Overall": "4.0", "Content": "I didn't eat here, just came to watch the game & have a few drinks.I was VERY impressed with the selection of beers. \u00a0There were TVs everywhere to watch the game.The only reason I'm removing a star is that a few of the beers that my group ordered \u00a0were out, or the keg was kicked, or misbehaving or whatever beers do.", "Date": "2013-10-16", "Author_Location": "Charlotte, NC"}, {"Author": "Mike O.", "ReviewID": "PrQn8b_CoVQJFr7QmqMoHw", "Overall": "3.0", "Content": "Where do the bankers and other men in button up shirts go after work? Here. Where do the women go? I have no idea, because the ration of men to women was 10:1. Big happy hour place in Uptown, full of testosterone. The bar has tons of beers, and the bartenders are helpful. In fact, they charged my friend and I for two drinks when we had four. When we did the right thing and informed them of it, then waved it off, as if it would be a bigger pain to have to fix it. Hehehe, nice. CAH is a chain in NC, and it serves bar food. This particular site has TONS of beer on tap.", "Date": "2014-03-28", "Author_Location": "New York, NY"}, {"Author": "Megan J.", "ReviewID": "DENoX2MzXu-w8E6fy0Uvag", "Overall": "3.0", "Content": "Carolina Ale House is just your average run of the mill place with very average food. The service has been kind of slow the few times I have gone. Pretty good burgers, which is what I usually get. Nothing to write home about, but not much to complain about besides the slow service. There are just so many options for amazing food in Charlotte that this place doesn't match up.", "Date": "2014-02-15", "Author_Location": "Charlotte, NC"}, {"Author": "Leah S.", "ReviewID": "1saalvyGTS293T89YrssoA", "Overall": "2.0", "Content": "Sure, they have a great beer selection, but you can only go here if you're NOT hungry. The food is pretty terrible and the service was even worse. I'm talking 10 minutes for a beer to arrive after we ordered it. We had the cheese fries appetizer \"Carolina loaded,\" \u00a0which means it comes with pulled pork barbecue on it, along with some variation on ranch dressing. It came out absolutely doused in BBQ and ranch, so much so that it was difficult to stomach. It was hard to find the fries underneath all of the sauce. We also had the buffalo chicken wrap, which was nothing special. It came in a green tortilla to boot (not exactly what you'd expect, and not a pleasant surprise). We also order the Baja grilled chicken salad, which was basically a chicken salad with a Southwestern twist. It was lackluster, even as bar food goes. For some reason it came with sour cream and salsa on the side (as if I would put those on my salad..?). The Southwestern ranch dressing was bland and barely noticeable. I didn't finish it, and that's saying something. Overall, it was just...bland. Not memorable. We won't be back. There are plenty of other places in the area that have a similar if not better beer selection AND serve good food.", "Date": "2013-11-23", "Author_Location": "Charlotte, NC"}, {"Author": "Steve B.", "ReviewID": "ok0NX-Yc9urP0EmuEeR09Q", "Overall": "4.0", "Content": "Venue: Carolina Ale HouseDecor: \u00a0 It's a Sports bar, what' 'cha thinkService: \u00a0 Spotty (especially at the front in getting a table)Environment: \u00a0pretty active, not too loud, good crowdFood: \u00a0 Pretty good. \u00a0That sampler was on Point. \u00a0Lot of menu options, huge plusPrices: \u00a0 Fair, more than reasonableHuge Pros: \u00a0The prices, location, good beer selectionDebbie Downers: \u00a0Needs more space for larger groupsConclusion: \u00a0 I am a fan! Good food. They are the self-proclaimed best wings in Charlotte. \u00a0I don't know if they are the best but are pretty damn good! \u00a0Food was good. \u00a0Waitress was pretty good.Overall: It is located in the middle of Uptown Charlotte, heart of the city. \u00a0Very good food. \u00a0Good amount of up to date televisions. \u00a0This is a sports bar that I am in favor of. \u00a0If you are from out of town, this is a nice spot to kick it and watch the games.Grade: \u00a0B", "Date": "2013-09-23", "Author_Location": "Atlanta, GA"}, {"Author": "Tim K.", "ReviewID": "XEdMDLOzdJ-DSiUdac5y2w", "Overall": "2.0", "Content": "Food was good. Beer choices are plentiful and many are $3 pints on Wednesday. Service is poor. They don't know that there should be a delay between the appetizer and the entree. Lots of tv's, but they also play blaring music. Big hangout for after work groups, couples/double dates, and older single guys.", "Date": "2014-03-26", "Author_Location": "Downtown, Houston, TX"}, {"Author": "Sasha R.", "ReviewID": "GTEchJmNss3NQj5wG04Llg", "Overall": "5.0", "Content": "Great French onion soup and even better veggie burger. The burger came with onion straws, cheese and spicy ranch, and it was amazing. While the veggie patty is premade (morningstar, i think), for me it's all about the toppings. The ranch seems to be house made. Despite working next door, I always overlook this place, thinking it will have lackluster bar food. But I will return, if only for these two items.", "Date": "2013-07-26", "Author_Location": "Charlotte, NC"}, {"Author": "Scotty C.", "ReviewID": "YrYRLTZkzn4wBBOaPQuq2A", "Overall": "4.0", "Content": "This place is worth the stop based one hundred percent on the selection of brews. Over 70 taps that run the gamut from rare to common and local to all over the land. I was staying at a hotel next door and had time for a beer to wind down after a busy evening and figured I would give them a shot. A friend of mine told me about the local Cocoa Loco from NoDa. I saw that they had it on tap and had to give it a try.I wasn't there long and I didn't eat, but from what I observed the service was great and the selection was unbelievable. I look forward to trying more on my next trip.", "Date": "2013-07-09", "Author_Location": "Mt Pleasant, SC"}, {"Author": "Dan M.", "ReviewID": "99VuT2h7zvWM7_CEtQSojg", "Overall": "3.0", "Content": "The Good: \u00a0This place has a \u00a0great draft beer selection including several Carolina locals. The Bad: They don't offer beer flights so you can sample several new beers (come on, it's Carolina Ale House, and what better way to promote Carolina beers than with a flight)The Ugly: \u00a0The food isn't very good at this place. Just regular bar fare, and nothing special.", "Date": "2013-04-24", "Author_Location": "Carlsbad, CA"}, {"Author": "India R.", "ReviewID": "a4ASt7P1R3nkOB3KAozmhg", "Overall": "5.0", "Content": "The Carolina Ale House was one of the first bars I frequented after relocating to Charlotte, NC. The food is as good as bar food gets, flavorful hot chicken wings, a plethra of beers to choose from as well as good cocktail drinks. I recommend the panther bowl, really good mixed drink and big too! I have been there too many times to count but definetly recommend to anyone looking for drinks, eats and a good atmostophere.", "Date": "2014-03-10", "Author_Location": "Charlotte, NC"}, {"Author": "Minnie M.", "ReviewID": "UdRyr-emQmaErWyg06f33A", "Overall": "3.0", "Content": "I met my bf and a group of his coworkers here for happy hour. It's located on the corner of College and 4th street and boasts plenty of outside dining which I'm sure is popular when the weather is nice. Even though there are TVs everywhere inside and it was crowded, it didn't seem as loud as I thought it would be. I ordered a pound cake bomb ($6.50) which is a Blue Moon and a shot of vanilla vodka and Bailey's to drop into the Blue Moon. And it was really good. I also had the Velvet Revolver ($6.50) and that was good too, but I liked the pound cake bomb better. It tasted like a dessert and I had no problem shooting it. For food, I ordered the Picky Platter ($9.99) and an order of dry rub chicken wings (10 for $8.29). The picky platter came with fried pickles, mozzarella sticks, chicken wings, and chicken tenders. I liked the fried pickles and the chicken wings and the rest were just average with the mozzarella sticks being my least favorite. The platter came with a side of ranch and marinara sauce for dipping. I think the price was really good considering how much you get. You're at a bar so I'm pretty sure you're not expecting gourmet stuff so I would suggest this as something to munch on to help soak up the alcohol. The dry rub chicken wings were suggested on yelp and they did not disappoint. By the time I ate the food, I was already two drinks in on a stomach that only had raw juice all day (I guess I blew my diet here :/ I needed a drink!) so I don't really have the words to describe the food, so sorry about that. lol. I just know what I liked and what was just okay and that next time I would just order the dry rub wings and the fried pickles.I consider the service as decent since we were able to get what we wanted, when we wanted but I know that some of our friends couldn't find their waitress at times and ended up having to go up to the bar to order. Other than that, it was a typical happy hour bar experience. I'd return but only after trying some of the other bars in Uptown.Photos posted: Picky Platter", "Date": "2013-03-28", "Author_Location": "Concord, CA"}, {"Author": "Chad E.", "ReviewID": "-rSJzsxEFcYkDXrVEUQM8A", "Overall": "3.0", "Content": "While the location of the \"ale house\" is nice - right in the midst of uptown - is nice, the atmosphere leaves something to be desired. Of course, that could be because it is in Charlotte. I mean most of our venues really don't have a lot of history to them, since we have this tendency to tear things down if they are older than a few years in order to put up something new (and \"better\" if you believe everything you read).In this case, it means that you get atmosphere that consists of modern and open, which isn't altogether bad - but an ale house should be more akin to the Irish public house (naturally known as a pub). These are often not as well lit, use wood more than steel, and while they may have plenty of comfort food, they are a far more enjoyable way to spend the afternoon/evening/whatever time you happen upon them.If you want a generic sports bar that leaves nothing memorable, then by all means, head on over. Otherwise, you might want to keep looking for something with a bit more to it. Just let me know if you find anything.", "Date": "2013-03-04", "Author_Location": "Charlotte, NC"}, {"Author": "Samantha I.", "ReviewID": "q-Jmkf2vf7UVM16RbFIGJQ", "Overall": "4.0", "Content": "Y'all, THE VEGGIE BURGER. I actually prefer Carolina Ale House's use of a Morningstar Farms patty topped with lettuce, tomato, pickles, cheese, onion rings, and barbecue sauce over the homemade versions most places disappoint with. Also, lets talk about the fries, which were salty perfection. $2 beer pints (err, they ran out of Magic Hat #9) and this place was a great stop before and after the Pearl Jam concert!", "Date": "2013-11-03", "Author_Location": "Mount Pleasant, SC"}, {"Author": "Nicks L.", "ReviewID": "vpwxjeWdhymO5MQ7HSQFdA", "Overall": "2.0", "Content": "Service at the bar was very slow for me, or I would have gave this place a 3 instead of a 2. If you are in the mood for a good craft beer or to listen to the game, then this is definitely the place to go. The food is not that impressive, mostly wraps and sandwiches, but on the flip side they are priced accordingly and you will not spend that much. Lost a star on service and also lost a star on food. If they get a better menu and bartender staff they are almost there, just need to change a few things around.PS: Also update your TV'S.. Half of them around the bar are all fuzzy and outdated.", "Date": "2013-03-12", "Author_Location": "Akron, OH"}, {"Author": "Brad B.", "ReviewID": "MvBtp7Dg3MGRPb7G7cv1vA", "Overall": "1.0", "Content": "Was a weekly regular. They used to have awesome wings (dry rub) , but then they screwed them up and raised the prices. Stopped going as I couldn't stand it.", "Date": "2014-01-21", "Author_Location": "Concord, NC"}, {"Author": "Jason C.", "ReviewID": "czoaSxpogX10cJhDfIlX_w", "Overall": "5.0", "Content": "I loved my visit here. \u00a0Parking was awesome. \u00a0Easily accessed if you find the correct parking garage. \u00a0You walk straight in the building from the deck and it's only a $5 deck which is a bonus. \u00a0Too bad they don't validate parking or it would be an even bigger bonus. \u00a0Food was great, a little better than typical bar food. \u00a0Prices were fair, that goes for food and drinks. \u00a0TV's were plenty. \u00a0I have to say this is a great place to watch a game or meet friends, just make sure to park in the garage located behind the establishment.", "Date": "2014-01-11", "Author_Location": "Belmont, NC"}, {"Author": "Chris C.", "ReviewID": "NdJHwZ3LLVkgVIVW4TcKpg", "Overall": "3.0", "Content": "I came here a couple times. So close to NBEO. Right across the street- Order a pound cake. Irish cream bombs!- Mozzarella sticks tastes like its from Costco. \u00a0- Zingers comes with Blue cheese? LOL..Is this a Charlotte thing?- On a Friday night, too busy. Wait is 45min to 1hour for a table! Just go to the bar..", "Date": "2012-11-04", "Author_Location": "Las Vegas, NV"}, {"Author": "Michael a.", "ReviewID": "4LGmCpJi_j-3PbBX8hhFpw", "Overall": "3.0", "Content": "The Ale house is a good place to come to watch a game or celebrate a win. The atmosphere is good and the beer cold. The food is pretty standard bar food. A decent burger and lots of fried fare. Nothing outstanding but if you are looking for pub grub and a screen to watch the game it will more than do.", "Date": "2014-01-19", "Author_Location": "Charlotte, NC"}, {"Author": "Steven M.", "ReviewID": "4yLo6M2hBy2yEcjEzF0YwA", "Overall": "4.0", "Content": "Made a pit stop here for a beer and to check out a game! TV's everywhere, so there is not a bad spot in the house. The bartender was amusing and knew his shit when it came to football. Good time in an easy going, relaxed bar!", "Date": "2013-10-06", "Author_Location": "Mokena, IL"}, {"Author": "Jimmy M.", "ReviewID": "Hd1D4pTJB1TTl0yq0LNKZw", "Overall": "4.0", "Content": "I came here for a quick bite before my flight out of Charlotte and they had A LOT OF TVs! So if you want to catch a game, they have TV's everywhere!! I ate the bacon cheese burger and that was big and juicy! I ate the wings as for my appetizers and that was pretty filling. Napkins are going to be your best friend on that dish. I ate half buffalo and the rest were honey bbq. \u00a0They were all very good and the food was decent quality.", "Date": "2013-01-26", "Author_Location": "Fullerton, CA"}, {"Author": "Heather L.", "ReviewID": "LAzxyfuP5-5U7fuWmaGI8A", "Overall": "4.0", "Content": "Came here for lunch while staying at the Hilton. \u00a0It's your typical sports bar, lots of tv's with games on everywhere. \u00a0But it's big and bright with two story windows and one of the few places rocking on a Sunday in downtown Charlotte a far as I could see.Service is friendly and efficient. \u00a0Beer selection is good with some local brews. \u00a0I ordered the buffalo shrimp which was, meh but the cole slaw was awesome and my friend's buffalo wings were maybe the best I've ever had!!! Great smokey flavor! \u00a0Loved them. \u00a0Really good wings. \u00a0Didn't expect this place to have such good wings. \u00a0So wished I had ordered the wings.", "Date": "2013-01-19", "Author_Location": "Des Plaines, IL"}, {"Author": "Monica M.", "ReviewID": "Z2BRN8102WwqdWpc0uuLFA", "Overall": "4.0", "Content": "My boyfriend and I were craving wings hard. We came here and were not disappointed. They were delicious and a great size. We're moving down to the area in two weeks and will definitely be returning!", "Date": "2013-11-10", "Author_Location": "Centreville, VA"}, {"Author": "Rich D.", "ReviewID": "bhsRBu-pCDvpE1gGq4w7Xg", "Overall": "4.0", "Content": "Stopped at the Carolina Ale House while in town to see the New England Patriots play the Panthers. Good selection of beers and the bacon cheese burger and fries were done right. \u00a0I enjoyed the atmosphere. Though it was a chain, it didn't really have the feel of a chain. The waitress we had was good, she made sure we were taken care of and she had a good sense of humour.Job well done ale house!", "Date": "2013-11-21", "Author_Location": "MA, MA"}, {"Author": "Melissa B.", "ReviewID": "h2-hiyARWrmcasZE2zByNQ", "Overall": "4.0", "Content": "WOW! \u00a0What a great alternative to the tired epicentre bars! \u00a0I was at this cool spot for happy hour last night (ANY pint $3!!) and it was so fun. \u00a0Huge downstairs bar and upstairs seating. \u00a0The bar has a Hickory Tavern feel, not pretentious, just a laid-back cozy bar. \u00a0We had the calamari (lightly breaded), wing platter (very big, not scrawny) and the fried pickles (everything you would expect!). \u00a0The waiter was constantly checking on us and didnt miss a beat. \u00a0Some of us got dinner there, on the higher end of bar food all in all. \u00a0The manager stopped by and joked around with us and was very friendly. \u00a0I love that the music isnt too loud here like at Mortimers. \u00a0At Mortimers you have to yell to your friends even though they are sitting in front of you, but here the music (all 90's hits last night!) was just loud enough to hear it but not overwhelming. \u00a0What a great addition to uptown! \u00a0:-D", "Date": "2011-10-06", "Author_Location": "Charlotte, NC"}, {"Author": "Amir T.", "ReviewID": "t1V4dALbhMfKaLKqeF76fw", "Overall": "4.0", "Content": "Went there for a few drinks during Sunday night football. \u00a0It was packed and fun time. \u00a0Service was exceptional. \u00a0Kelli took care of us all night and did an amazing job", "Date": "2013-11-18", "Author_Location": "SoCo (S. Congress Ave.), Austin, TX"}, {"Author": "Beverly T.", "ReviewID": "9vKkLfpFqePixVJH2SWVHg", "Overall": "2.0", "Content": "Salty. I shoulda known better than to eat at a place that looks like Hooters (minus the hooters).Brisket sandwich. Brisket was tender but VERY salty. I definitely did not need the au jus on the side. Service was sloooow, as with most places in NC. I asked for a salad instead of fries (trying to watch that girlish figure ya know?) and it was a very very sad iceberg lettuce salad with a wedge of tomato and two pieces of red onion. Side note: This looks like a popular locals spot for beer & wings. Come with low expectations.", "Date": "2012-06-27", "Author_Location": "San Mateo, CA"}, {"Author": "Michael B.", "ReviewID": "Htmy-uQor2yHj6KaCFDWFg", "Overall": "4.0", "Content": "Came here for happy hour with coworkers after work. Must say the beer selection is quite expansive - 72 on tap? Wow. Lots of local brewery selections as well. I had a nice Lonerider Sweet Josie Brown with some quesadillas (was pretty decent food for a bar). No problems whatsoever with service. Hopefully not the last time I come to this place!", "Date": "2013-11-03", "Author_Location": "Cary, NC"}, {"Author": "Jane F.", "ReviewID": "GGycGT6T6tLLUTapjC2wWA", "Overall": "4.0", "Content": "What a surprise when I came in tonight for a $3 pint and ran into 11 of my co-workers. I guess this is our new staff bar? No, literally, 11 of them.I am loving the beer list here, and I am loving the fact that Wednesday is $3 night even more. I enjoyed my fish tacos immensely, and a few other menu items were enjoyed by my coworkers as well. The menu is mostly typical bar food, but as it's served until 2 every night, do you hear me complaining? The staff was extra friendly and kept all of our progressively growing tabs excellently.The patio is not quite open yet, and probably won't be until the Spring, but man I can't wait until it is. Ale House, you have won me over.", "Date": "2011-09-28", "Author_Location": "Charlotte, NC"}, {"Author": "Travis W.", "ReviewID": "zqePbLB0LMqV100j1dqBUg", "Overall": "3.0", "Content": "Newest bar uptown and right off the beaten path of Tryon and Epicenter land. \u00a0I was there for an after work function recently and it looked like it was getting a decent crowd so I suspect this place to do pretty well if they can keep the people happy with good service. \u00a0Typical bar food fare and also some daily specials that just can't be beat. \u00a0For instance, Wednesday is $3.00 pint night....YES PLEASE! \u00a0I like it! \u00a0We had a table of about 7-8 people and the server kept up really well considering the amount of ordering going on so kudos for that. \u00a0The interiors are a little ho-hum for my taste with typical oak cabinetry and millwork trim. \u00a0Nothing wrong with that every once in a while but I tend to lean more towards trendy environments.", "Date": "2011-10-13", "Author_Location": "Charlotte, NC"}, {"Author": "Jessica M.", "ReviewID": "wa8TVqRHIwd9DyTeo4IJFw", "Overall": "4.0", "Content": "As an uptowner working the 9-5 gig, this place was a welcome distraction from the usual for me. \u00a0Steak for lunch on a Friday? \u00a0YES, PLEASE! \u00a0I had the flat iron steak with double veggies - and wowser, it was great (and decently priced, considering). \u00a0They were really accommodating with my order (no croutons on the salad, double veggies, no potatoes or bread). \u00a0I was expecting a limp pile of sauteed squash, carrots, and broccoli, but to my surprise it was a delicious pile of crisp green beans, carrots, onions, red peppers, and a few squash dashed in there. \u00a0Very nice. \u00a0One of my co-workers got the CAH Pub Burger, and it looked scrumptious (all hail the onion straw). \u00a0I would definitely come here again for lunch!", "Date": "2011-11-11", "Author_Location": "Belmont, NC"}, {"Author": "Bill P.", "ReviewID": "wy5a8AFzLoEK3-INuISx0w", "Overall": "4.0", "Content": "We stopped here for refreshments after a Saturday afternoon walking around downtown Charlotte. We sat outside and enjoyed the nice September weather. They have a separate beer menu with several pages of offerings. The beers are grouped according to style and have brief descriptions of the brews and their brewers. I enjoyed one of their local selections. The service was friendly, helpful, and efficient. This appeared to be a popular place; there was plenty of activity in the bar and restaurant inside. Various football games were playing on their numerous TVs. I certainly would go back for when thirsty for a beer and would like to try some their food.", "Date": "2013-09-22", "Author_Location": "Fairfax Station, VA"}, {"Author": "Lars R.", "ReviewID": "56BF__mvEYJxYewhvIc-5g", "Overall": "5.0", "Content": "Great food. \u00a0Great drink prices. \u00a0 Great sports watching. \u00a0What's not to love?", "Date": "2012-04-29", "Author_Location": "Charlotte, NC"}, {"Author": "Ian M.", "ReviewID": "Euk8GlRcD_9i02VuiISeng", "Overall": "3.0", "Content": "80+ beers on tap... Tons and tons of space.. Upstairs and downstairs.. Multiple bars.. \u00a0Large menu..Yeah this place is just what I like. \u00a0Nothing really stands out as unique but the menu is A-OK. \u00a0I've had the wings (B-) and the chicken bbq sandwich (B+) and the fried pickles (C). \u00a0The pickles are better at other places but nothing can really beat this location (right next to the Epicentre) and the space. \u00a0Something about not being cramped when its crowded is rather nice. \u00a0It is a great place to meet up after work or watch the Bobcats/Panthers. \u00a0Honestly, you can't go wrong here.. You will leave happy. \u00a0Enjoy!-Ian M.", "Date": "2012-02-10", "Author_Location": "Charlotte, NC"}, {"Author": "Tammy T.", "ReviewID": "xNGiOdLZB57wXzLKK7cGAQ", "Overall": "2.0", "Content": "From the vast research I've done (give me a break, I'm a west coaster), this is a chain that changes the first word of the name based on the location. I figured, though, I might as well review it for any of those visiting Charlotte on a whim. Bar food was fried and greasy in the bad way. If you like your fried food crispy, this isn't the place to go. I had tried the fried pickles, chicken wings, and chicken tenders. The spinach and artichoke dip was decent, but a little too decadent for my own good. The best part about the ale house, though is the $3 pint. They have a huge selection to choose from. My favorite is the Sweet Water Blue which is your basic Sweet Water with a dash of blueberries. It's a bit fruity, but guys order it too! For the adventurous types, I also tried the Shotgun Betty which is banana bubble gum-flavored beer. I couldn't finish the glass.", "Date": "2012-07-04", "Author_Location": "Los Angeles, CA"}, {"Author": "Martin H.", "ReviewID": "8Kb1plojiMX-Z3P22E0gSA", "Overall": "3.0", "Content": "This is your typical sports bar, but it has a good atmosphere and a large beer selection.The food I received was very average. I had the grilled salmon salad, but the salmon was overcooked in my opinion. It tasted dry, and lost a lot of the freshness that is so critical to a good piece of salmonIt would be a good place to hangout or watch the game for sure, but not to go and have dinner.", "Date": "2012-11-09", "Author_Location": "Dallas, TX"}, {"Author": "Pathik S.", "ReviewID": "4_CXorRIMP9OGsa_CtjxKA", "Overall": "1.0", "Content": "Boo this place!! One ounce pours on shots . It's not the wild wild west anymore it's 2012. Most restaurant/bars Do 1.5 oz pours. Ridiculous tab bc the shots were gone so quickly.", "Date": "2013-11-12", "Author_Location": "Charlotte, NC"}, {"Author": "Nicole G.", "ReviewID": "zxy_I3ynwrcEAKr91DYvrA", "Overall": "5.0", "Content": "Tried their dry rub wings at the Taste of Charlotte this year and it was love at first bite. About two weeks later I decide to go back for lunch and once again was completely in love with the wrap I had. I also had a potato chip encrusted banana sundae for dessert which was so big I should have shared. SHOULD. The staff was very friendly and helpful. I will definitely visit this place again.", "Date": "2012-07-27", "Author_Location": "Charlotte, NC"}, {"Author": "Brian K.", "ReviewID": "woQWQih_MGRK_xFNz8mHDg", "Overall": "3.0", "Content": "Tons of TVs - great for football and basketball.The tons of appetizers we got were all good.The beer selection was fantastic!I'll go back.", "Date": "2011-11-25", "Author_Location": "Charlotte, NC"}, {"Author": "Michael E.", "ReviewID": "oy3wceETH8r-_rm9tXRqkg", "Overall": "4.0", "Content": "So this place finally opened...living down in the center city it is.........as many seem to note in some form or another.........an alternative to Epicenter.A large space with 2 levels, this has a very large bar on the ground floor and a smaller one on the second level.This place gets packed during game night and even have a Monday night football event where someone can win $1000.They have a large beer selection....so much so, I find the bartenders don't even know where all the beers all....I seem to always have to point out where the beer I want is located.For this visit it was beers and a Picky Platter.......which is mainly just fried food, but good nonetheless.I'm a fan......", "Date": "2011-11-28", "Author_Location": "Asheville, NC"}, {"Author": "Faith D.", "ReviewID": "gZusKekouhq8DxW62DMKRw", "Overall": "3.0", "Content": "Spacious!Nice servers and friendly hostess. Bathrooms are clean.The calamari was really good, especially paired with a sweet sauce.The end.", "Date": "2012-06-22", "Author_Location": "Charlotte, NC"}, {"Author": "Ryan K.", "ReviewID": "2gl-Bmih1O45S1l4ksxcSQ", "Overall": "4.0", "Content": "Large selection of draft beers, great wings and a diverse menu. Thai chili wings and honey BBQ were excellent. Wifey had a salad which good too. Plenty of TVs to catch the games.", "Date": "2013-09-28", "Author_Location": "Charlotte, NC"}, {"Author": "Joseph H.", "ReviewID": "9xpWO2JOAXXWtupW8LnNlQ", "Overall": "4.0", "Content": "I like this place. Right across the street from the Omni and BB&T, it's a convenient place to catch some sports. Probably 50 beers on tap, it's a well stocked sports bar with a ton of TVs. Probably not a bad seat in the place. Bar staff was super friendly I really liked the chicken tenders. If you're in uptown, you should check it out.", "Date": "2011-11-27", "Author_Location": "San Francisco, CA"}, {"Author": "Jasline K.", "ReviewID": "DnAZ6wUS5WoI8N_uG5sIaA", "Overall": "4.0", "Content": "Good food, good drinks, good service, great location!Went for dinner and drinks with my boyfriend here on a Wednesday afternoon. They're building a patio, so there's construction. That didn't interfere with the inside though. The waitress knew the menu INSIDE & OUT! She said she's tried everything on the menu for 2 things. She suggested I try the Carolina Berry Vodka Sour Martini, and I say it is a MUST TRY!For starters my boyfriend had a ceasar salad, while I tried the spinach dip with nachos & pita bread. Oh-my, let me tell you the pita bread was the PERFECT side for the dip! It was warm and had a buttery taste to it, I was instantly addicted!My boyfriend wanted ribs, but they weren't going to be available until dinner time, so he ordered Crispy Southern Chicken Sandwich, which came with 2 tiny chicken pieces on each roll. My boyfriend said it was ok because he hates bothering the waiter, but he is 6'3 and 235, and that was not going to fill him up. I asked the waiter if he could have more chicken on his sandwich, and they brought it out with no problem and no charge!I opted for a cheesburger with chili, bbq, lettuce, and mustard. I loved it! The chili was so-so, but the burger itself was juicy, and delicious!We ended the dinner with a shot which topped off our experience!Will I go back to Carolina Ale House? Of course! And you should too!", "Date": "2012-02-28", "Author_Location": "Charlotte, NC"}, {"Author": "Lucy G.", "ReviewID": "5LC5HaeaxEDA_Y8FD0vIMQ", "Overall": "3.0", "Content": "Came in at 1 am after drinks and bowling.Was hungry and thankfully they serve full menu.Unfortunately, i think our chef was sleepy lazy or drinking.Food was cold, sloppy, and unappetizing.That being said, i was super buzzed so i finished off the wings.Mojito was gross.Honestly, ill come back only when im not sober. :)", "Date": "2012-05-17", "Author_Location": "Lake City, FL"}, {"Author": "Sean M.", "ReviewID": "mVlXs57a0gNckJnmfQ4nTQ", "Overall": "4.0", "Content": "Pros:Great selection of beer on tapGood food and pricesFriendly staffCons:Not sure I would take children there, it seems more like an adult place, but I could be wrongOverall good place. \u00a0Plenty of tvs to watch different games on. \u00a0Actually ended up eating here a couple of times on one trip. \u00a0Would definitely go back.", "Date": "2013-10-20", "Author_Location": "Bernalillo, NM"}, {"Author": "Kristine R.", "ReviewID": "GRsfhfV1hTuqqGx9VBDdvA", "Overall": "3.0", "Content": "Came here for lunch after flying into Charlotte from Boston and it is your average bar/restaurant with salads, burgers and sandwiches. I ordered the Southern Fried Chicken Salad which was your basic salad with tomatoes, lettuce, cucumbers, red onions and fried chicken tender strips. \u00a0It was very simple and tasty since I was very hungry. I had a ranch dressing with it and I had no complaints. \u00a0My two colleagues ordered sandwiches and they liked it, no complaints either. Though they did think it was odd that they didn't serve sweet potato fries.In any case, service was good and this place was ok.", "Date": "2011-10-29", "Author_Location": "Redwood City, CA"}, {"Author": "Dan C.", "ReviewID": "ukBJxv8G6pFDeaBRLhy8OQ", "Overall": "2.0", "Content": "Totally forgot to review this place when I went a few weeks back for a co-worker's bday. Food was whatevs, beers were meh. \u00a0Was surprised that Oktoberfest was still on the menu so I tried to order that, heh. \u00a0It wasn't--they should update their menu or say something like \"seasonal\"Disappointed at how the hostess had no idea about birthday desserts as their menus advertised. \u00a0Told them while we had a few drinks, that we're here for a friend's bday and we'd like to get the birthday dessert. She had no idea what I was talking about. \u00a0So I had to track down our 20yr-old waitress who was able to get a dessert for him. \u00a0Doesn't their menu say you get your choice of dessert for free if it's your birthday or something? \u00a0I really didn't get to choose, she just brought out an average chocolate cake slice or something without a candle, just a slice, very unceremonious.End of the night, I told her that I'd be paying for the dessert (as a joke, bc she acknowledged to me that it was free). \u00a0I find out later from a buddy that the cake wasn't free and that HE paid for it. So: (1) it wasn't free; and (2) the wrong person got charged. \u00a0Yeah, it's not like the premier place to celebrate a birthday, maybe just grab drinks after work - like we did. \u00a0Shouldn't say that dessert is free if it isn't though :/dmo out.", "Date": "2011-12-25", "Author_Location": "Charlotte, NC"}, {"Author": "Trey S.", "ReviewID": "Z3L-WyNJ28AxLe0BMZa_jA", "Overall": "4.0", "Content": "There's plenty to like about Carolina Ale House. \u00a0Not only does this place offer a welcomed reprieve from the hip and trendy establishments and people that populate the EpiCenter, but its also littered with screens, a friendly staff and the food is surprisingly - good. I've been here three times since it was opened this past fall. \u00a0This is a great spot to watch any big game, especially Monday or Thursday Night football. \u00a0The honey bbq wings are awesome! \u00a0The are savory and crisp, but not overcooked. \u00a0I've also had a chance to try the chicken quesadillas and the chicken melt wrap - both of which are are delicious and are can't miss menu options if you don't know what to order.I prefer to sit at the bar when at Carolina Ale House. \u00a0To be honest, I've never sat at a table, but I can vouch for the service of the bartenders.Other than say, Fox and Hound, this might be the best spot to watch a big game in uptown Charlotte!", "Date": "2012-03-17", "Author_Location": "Charlotte, NC"}, {"Author": "April S.", "ReviewID": "ddcKz1n4bGmp9Wwbrals7Q", "Overall": "4.0", "Content": "Carolina Ale House is now my new favorite sports bar in Uptown. It's very shiny with a ton of TV's, a HUGE selection of draft beer and an awesome location. Their dining room is decorated with local sports memorabilia and the atmosphere is very chill and definitely sports-like. I've ventured here plenty of times after Bobcats games or as a place to start the night with friends as a jump-off spot. Every server/bartender I have had has been extremely cool, patient and attentive. I actually have not eaten here yet but only because I've always focused on the beer party of the menu. (Duh) They must have a few dozen beers on tap and a cool shot menu that consists of funky bombs and libations to keep you entertained while there. If you come on a big game night it WILL be busy so attempt to get there early to grab a table or a seat at the bar. Otherwise, there seems to be enough seats to go around \u00a0(They also have an upstairs area which I have yet to explore). If you are tired of the typical Uptown sports bars in Charlotte, walk across 4th street from the Epicentre to try Carolina Ale House. They are the new guy in town with a chain-like appearance but with a Charlotte spot feel.", "Date": "2012-04-23", "Author_Location": "Charlotte, NC"}, {"Author": "Mike L.", "ReviewID": "nRAKeISIBEjXz4_4a-_qbw", "Overall": "2.0", "Content": "The only thing that this place has going for them is the location. \u00a0The layout is pretty cool with a bar upstairs and downstairs.I was not impressed with the London Broil sandwich. \u00a0I also tried the Carolina Dipper and felt it was lacking a little something. \u00a0I feel like this is the kind of place you just have to get a hamburger. \u00a0Everyone thought that the french fries were pretty good. \u00a0The service was not that great but I do not expect great service from a place like this anyways. \u00a0The hostesses were not mean but not very nice. \u00a0I asked our server for raw onions instead of onion straws and they forgot lettuce and tomato. \u00a0They also messed up another person's order that was in our party.I was there in the afternoon on a weekend. \u00a0There was lots of room at this time even with all of the WV basketball fans there.", "Date": "2012-02-17", "Author_Location": "Charlotte, NC"}, {"Author": "Tiffany N.", "ReviewID": "w6ANfkncSuwNF6h2CPq6yA", "Overall": "4.0", "Content": "New to town, new to the bar scene down here. Good location right off the street so I walked in. Good beer specials on Tuesdays, and great beer selection. Fun atmosphere for games. For dinner, I previously got a regular house salad. I thought it was pretty tasty for a bar salad, and well let's face it, its a salad. This time I chose to get the Pub Burger and that was pretty dang good. A cooked to order patty with onion straws, cheese, and amazing bbq sauce. It's a step above regular bar fare. If you're looking for a chill place just to swing in to get bar food and a good beer, this is the spot.", "Date": "2013-09-10", "Author_Location": "Washington, DC"}, {"Author": "Josh J.", "ReviewID": "GacR2S91clJKAJOrB3eReg", "Overall": "3.0", "Content": "I realize the location - smack dab in the middle of uptown - makes it unlikely to impress. \u00a0It seems most of the bars catering to the jock crowd in Charlotte's uptown are unimpressive. It starts out promisingly -- it's two floors, and I guess was another restaurant until recently. \u00a0We came for football Sunday and got there early so we could pick a good table with multiple TVs in sight. The shine from the sun outside made the downstairs difficult to watch the TVs, so we headed upstairs.The food was fairly substandard. Nachos, chicken wrap and hamburger all very basic and blah. Ok beer selection. Just nothing to write home about.We won't be back. There are simply too many great places to go to watch football to waste time on a joint like this. I wish them well - I'm sure it caters to some people perfectly.", "Date": "2011-10-31", "Author_Location": "Huntersville, NC"}, {"Author": "John S.", "ReviewID": "5BO7iCoOSSPvebKP7ByZWw", "Overall": "2.0", "Content": "Went to Carolina Ale House (CAH, as they call themselves on their menu) for lunch in a party of 9. The place was busy, as has been the case of 2 other times I have been there. The joint serves beer and pub food with lots of TVs, great place to view games. Unfortunately, the atmosphere is what you pay and go for, not the food.I had the special, a Greek Chicken Pita. Sounds pretty good right, chicken, feta, olives, etc? The problem is that it wasn't made with care, as the pita came soggy with olive juice dripping through the bottom, as if emptied from a can. Worse, there was an olive pit in the pita, which I bit down on, OUCH. Apparently there was a warning somewhere about olive pits... my question, why serve something with pits that can't be easily distinguishable? Great... you put a warning, can I warn you that I may not pay you if I don't like the food and walk out?The fries are flavourful, but it looked like they were rushed. Straight out of the frier and onto our plates... fresh is good, but usually you want to run the fries through paper towels or something to get rid of the excess grease. CAH fries apparently come with an extra serving of oil on the outside, glistening!Other folks had the veggie pizza, a grilled chicken salad, buffalo chicken burger, and the fried fish. I think I probably got the worst of it, the other food looked like standard pub food. I had the buffalo chicken burger before and I would rate it three stars. To be honest, if CAH cooks spent 1 extra minute per plate to actually clean up the presentation, that would earn them 1 extra star. KISS, Keep It Simple & Stupid. Nobody walks into CAH expecting miracle food, charge me $10, make me a good burger. Chicken pita would've been fine and good, why add olives and turn it to disaster, honestly, just stupid.Will I go back, probably once in a bit, but their pricing makes it a rare sports event occasion \u00a0or an occasional group lunch. Maybe when March Madness rolls around, we will spend some time there for happy hour / game watching.", "Date": "2012-03-02", "Author_Location": "Charlotte, NC"}, {"Author": "Dan W.", "ReviewID": "jkfSG0QdD1SPUUnty8WDVA", "Overall": "5.0", "Content": "I love this place. Their buffalo chicken wraps (and wings) have become my favorite. Lots of beer choices for the beer drinkers. Lots of TVs if that's what you like to do while you eat/drink. I've been for lunch during the week while working and also on the weekend when I've had more time to relax and just enjoy the meal. I've never felt rushed, though service has always been prompt.I've never sat in the upstairs section but they have tons of room on both levels. Waitresses are always very friendly, even when not 'perfect' in their service. I'll be going back again and again...", "Date": "2012-04-25", "Author_Location": "Charlotte, NC"}, {"Author": "Dan M.", "ReviewID": "cm-QxTJUS1HtNGvgETJG9g", "Overall": "5.0", "Content": "This one is a no brainier. If you are in Uptown Charlotte and like great beer and great food, this is the place. Try the dry rubbed wings! This place hits on all cylinders.", "Date": "2013-04-30", "Author_Location": "Sioux Falls, SD"}, {"Author": "Jacob T.", "ReviewID": "iQ57vMuesKJ-eMXzZDashg", "Overall": "2.0", "Content": "The wings were really good, but the service was pretty awful. I was there with a little over a dozen people from my office. We were spread out over about 4 tables by the bar. We waited, on average, 10-15 minutes for drinks, every time we ordered. We were literally 6 feet from the bar. It was busy but not super busy...Plus, it's not like the servers were getting drinks for EVERYONE every time they took an order... just 2 or 3 here and there. My one coworker ordered a beer which never came. He had to order it again from a different server. I only had 2 drinks the entire time i was there because no one would come and take our orders. My theory for situations like this is that the servers already know they're getting an automatic gratuity added to the tab (because of the party size), so they don't bother taking good care of them.On top of that, I got to listen to a large bald guy (presumably a manager) berate a server who evidently had screwed up an order. Not sure if this is how things usually work in the service industry, but I was surprised by what followed. He told her that she had to figure out a way to make them pay for the items (which they hadnt ordered) or she had to pay for it out of her pocket. I wasn't impressed.I don't see myself returning any time soon.", "Date": "2012-12-21", "Author_Location": "Pineville, NC"}, {"Author": "Chris H.", "ReviewID": "dudQ-CCwHSNC5G5fYHUByA", "Overall": "3.0", "Content": "We sat outside which was nice but service was on the slow side. \u00a0My husband's salad said nothing about cucumbers but it had them and the avocados which were mentioned were missing. \u00a0My salad was pretty good - Greek Farmer salad with grilled chicken - but nothing great. \u00a0It was a decent meal but we probably won't go back.", "Date": "2013-05-15", "Author_Location": "Cary, NC"}, {"Author": "B. H.", "ReviewID": "dKdOrzGO5TTmmi_7dC-_vw", "Overall": "2.0", "Content": "Generic food, not bad, but nothing to write home about. But what was bad was the service. Our server didn't write things down, and forgot my appetizer. Then when all our food arrived a friend with me mentioned to him that he didn't bring our appetizer. His response was \"Its about to come out\" (This was when all our food was at the table and he was checking if there was anything else we needed). I then said, \"Well I don't want it now I wanted it as an appetizer.\" He then proceeded to say \"All I heard was a burger and bleu cheese chips\". So I got the impression that he was then just lying to my face in order to cover up his mistake of completely forgetting about it, and then even further, placing blame on me that he didn't understand I wanted something from the appetizer menu as an appetizer. It then took probably 20 minutes to get our checks, and my friends had the wrong price on their check for their beer which took another 20 minutes. Even if I didn't live out of state I wouldn't come back to this place.", "Date": "2014-04-09", "Author_Location": "Birmingham, AL"}, {"Author": "Michael L.", "ReviewID": "uRZEaHnPn9lvMvyfThLNgw", "Overall": "4.0", "Content": "Went to this bar right after the NBEO exam because it was the first bar in sight! They have an interesting selection of bomb drinks. The pound cake bomb was good! It's similar to an irish car bomb but with blue moon. Great sports bar and good appetizers on happy hour.", "Date": "2012-11-10", "Author_Location": "San Jose, CA"}, {"Author": "Raymond S.", "ReviewID": "00iE7tgdq8XbJ7Xo6SOYaw", "Overall": "4.0", "Content": "Lots of good beer and awesome food. Next time I visit Charlotte I am definitely going back.", "Date": "2013-04-13", "Author_Location": "Bridgeport, PA"}, {"Author": "Tae-Sun K.", "ReviewID": "XLeKKhU4VfZTJzRjtXDF5w", "Overall": "3.0", "Content": "I'm not much for sports bars, so take this review with a grain of salt. The food is a-ok. Nothing special. The most important \"value added\" factor of this place is the concentration of professional men in one place (after working hours) and all the big screen tvs. I felt like Carrie Bradshaw in that one episode where she's recommending to her Annex Class students where to find single men in Manhattan.", "Date": "2011-11-14", "Author_Location": "Charlotte, NC"}, {"Author": "Kevin H.", "ReviewID": "F7P-Iqf-GsikbfWN0xBsfA", "Overall": "1.0", "Content": "If I could rate them 0 stars I would. The wife and I are in town enjoying a relaxing kid free weekend and decided to stop in for dinner. Service was horrible. Took 30 minutes to get our appetizer(got the chicken nachos which weren't that good). Waited another 30 minutes for our entree. Brought my burger out that looked like it had sat under the heat lamp forever. Bun was burnt and the burger didn't even have everything on it should. Server and manager could care less although he took care of the nachos and couple of beers I got. Needless to say we won't be coming back or going to the ones they are planning on opening in SC.", "Date": "2013-05-26", "Author_Location": "Summerville, SC"}, {"Author": "Lucas J.", "ReviewID": "ptlWLk0XyZCVY9tigiN_fw", "Overall": "5.0", "Content": "Fish tacos were amazing! \u00a0I'll admit I haven't had any in years but these were delicious. \u00a0The mango salsa was really fresh tasting and the fish was crisp on outside and fell apart in your mouth. \u00a0Oh yeah, wait staff is gorgeous as well at least when I was there for lunch.", "Date": "2012-06-07", "Author_Location": "Belmont, NC"}, {"Author": "Mimi T.", "ReviewID": "P7MGfZjRXsvyzPvAOlFVqA", "Overall": "4.0", "Content": "Great location, plenty of screens to watch football, and the dry rub wings were delicious...no really I'm ready to fly back to have some more. Their green bean side, fried shrimp and apple blossom were good too, but those WINGS!!!!", "Date": "2012-10-09", "Author_Location": "Washington, DC"}, {"Author": "Brian F.", "ReviewID": "Uo7oTFVgF6th771cpq904A", "Overall": "3.0", "Content": "Typical bar food, awesome beer selection. \u00a0Based out of Raleigh, they are big supporters of the Carolina Hurricanes, and the Charlotte location supports their farm team, the Charlotte Checkers. \u00a0Very good sports bar environment with a second level for events such as Hurricanes watch parties. \u00a0If you're rating the food, it's meh, but if you're rating the beer, it's A-OK.", "Date": "2012-03-12", "Author_Location": "Fort Mill, SC"}, {"Author": "Stephanie H.", "ReviewID": "xQMENg40m6Wo6HWxagoQPQ", "Overall": "3.0", "Content": "Sports bar beer place that had tons of tv, average pub food, nice servers, got noisy and some entertaining patrons. we went here on Friday night to grab some dinner and watch some of the Celts vs sixers game. It was nice because we also got to sneak some of the sox losing (go figure LOL!). Food was standard pub food- wings, fried pickles, burgers, salads, soups and the like. TONS of beer for selection. TONS! And this is where i found out they have FAT TIRE on the east coast! I was in love for that alone! Good place for decent food and beer and to watch sports. I would go back for the last two before the first.....but atleast know they do have average decent pub fare.", "Date": "2012-05-20", "Author_Location": "Salem, MA"}, {"Author": "Curt G.", "ReviewID": "0mKtsk72B-1TfbgltTX1Fg", "Overall": "3.0", "Content": "I ordered the daily special, which was the southern fried chicken bowl. \u00a0Was good, but a little salty. \u00a0I went with 3 other coworkers on a Tuesday night @7pm and service was very, very slow. Had to track someone down twice to ask for forks to go with our salads. \u00a0Had to flag someone down twice for our bill. \u00a0Not a good place to go if you have less than 2 or 3 hours only to eat.", "Date": "2012-12-14", "Author_Location": "Antioch, CA"}, {"Author": "Jessica J.", "ReviewID": "IZl0vWi3xE-kN3i8Id1LfA", "Overall": "5.0", "Content": "Hungover on Sunday and your man is dragging you out to watching Football? I pretend to hate going to watch football but $4 bloody marys on Sunday I will hoot and holler alllll day! They are delish and the bartender taught me a drinking game to give me a reason to want to watch the game.", "Date": "2013-01-16", "Author_Location": "Washington, DC"}, {"Author": "Melanie E.", "ReviewID": "IUG5w_Xg_H9cG4U5KTpiaA", "Overall": "3.0", "Content": "I think the layout is great and grabbing a seat at the bar on a Saturday night wasn't too hard as most people were just waiting to be seated for dinner. \u00a0The menu looks ok, but we only came for a couple of drinks and to watch the Series for a little while before heading over to the Double Door Inn. \u00a0The bartenders were all friendly and checked on us often to make sure we were doing ok. \u00a0We ordered the apple dessert to just have a bit of something sweet. \u00a0It tasted fine, nothing special, but it wasn't even warmed up at all, so you know it's just out of the box and not fresh made. \u00a0It's a bar, though so I wasn't expecting anything major. \u00a0I love they have tv's on the inside of the bar set area itself. \u00a0We enjoyed the atmosphere and we are happy to know they serve their full menu until 2am!", "Date": "2011-10-23", "Author_Location": "Charlotte, NC"}, {"Author": "Keyshaun S.", "ReviewID": "VtgdyeJgFabEeDWNBATaPA", "Overall": "4.0", "Content": "Love it. Food till 2:00am and Angela is an amazing bartender & server. My steak was very good and they have ane awesome beer collection.", "Date": "2012-01-16", "Author_Location": "Buffalo, NY"}, {"Author": "Stephanie C.", "ReviewID": "ls1RCl0SBQI9bakp_zw-9A", "Overall": "3.0", "Content": "We are visiting charlotte this weekend and stopped into the ale house for lunch. The service was very friendly and quick. We did not feel rushed at all even though they were experiencing a huge rush of lunchtime service. We started with calamari which was decent. The fry to calamari ratio was a little off but the Thai chili dipping sauce was good. I ordered the London broil sandwich and coleslaw. The coleslaw was great - hardly and mayo and good amount of caraway seed. The London broil was shaved thin and rubbed heavily in monterray steak seasoning. It was very tender which was impressive given how thin it was. My partner got the fish tacos which were outstanding. Lightly fried with mango salsa and the slaw. The beer list is impressive and it's a great place to watch any game. I wish I was going to be in town for march madness.", "Date": "2012-02-18", "Author_Location": "West Hartford, CT"}, {"Author": "Gabriel H.", "ReviewID": "-9bE6W_V3JW5FuQoC7xopg", "Overall": "4.0", "Content": "Nice bar. Great beer selection. Had the Four Friends Queen City Red (local Irish Red Ale) and the Highland Oatmeal Porter (brewed in Ashville, dark and full tasting beer). Also had a taste of the Buffalo Shrimp Salad (buffalo beer-battered shrimp over fresh greens, tomatoes, cucumbers, peppers & red onions; served in a tortilla bowl). Would definitely go back.", "Date": "2012-03-11", "Author_Location": "Manhattan, NY"}, {"Author": "Erica J.", "ReviewID": "6R4-8RAw-16a_s6pfhGJBQ", "Overall": "3.0", "Content": "If you like beer like I do and you are from up north where you get at least 20 draft beers at a time, youre in luck. The specials are hard to beat with so many to choose from. The service is shaky but so are most sports bars. The location is hard to beat especially if you are so tired of the Epicenter, its right across the street!", "Date": "2011-10-13", "Author_Location": "Charlotte, NC"}, {"Author": "Jeremy M.", "ReviewID": "1KrljUy7LCzmg6tzfYnAiQ", "Overall": "5.0", "Content": "Huge beer selection. \u00a0Great quality beers and service. \u00a0Had some good food at the bar and enjoyed myself.", "Date": "2012-04-25", "Author_Location": "Manassas, VA"}, {"Author": "Jillian C.", "ReviewID": "FrLNBcK1Ys1MA-252U669A", "Overall": "1.0", "Content": "This is my first time back in almost a year, an I remember why I don't come! This is the worst service. I am sitting with my friends at the bar, and got served my first drink when they got their second drinks. The manager was no help! Once again I will never be coming back again!", "Date": "2012-09-22", "Author_Location": "Charlotte, NC"}, {"Author": "Paul R.", "ReviewID": "e5m1aBOguKd_qWaORHfeLA", "Overall": "3.0", "Content": "Kind of like a tgi fridays with way better beer. The burger I ordered at medium was cooked well above temperature with no pink at all, but still tasted good. \u00a0The fries are really tasty. \u00a0The big complaint I have is that their pint night is Wednesday night, but most of their beers don't qualify for the $3 pints, which is fine, but it was kind of hard to figure out which beers on the menu were in stock and then which beers that were in stock were on pint night special.", "Date": "2011-12-27", "Author_Location": "Charlotte, NC"}, {"Author": "Kayla K.", "ReviewID": "Ok4JylMygXTbwaLhSQ-cdA", "Overall": "5.0", "Content": "Amazing bar food- try the fish tacos! 72 taps to choose from. Love the atmosphere and the customer service was great- my server was clearly new and very attentive. Went here twice during my 3 day visit to Charlotte. Will be back!", "Date": "2012-09-25", "Author_Location": "Arlington, VA"}, {"Author": "Jon O.", "ReviewID": "2nWkb-Bnur3e4FCs8l7epQ", "Overall": "2.0", "Content": "I went by there to watch a Panthers game and the whole experience was pretty sub-par. For one, the area we were seated in was right below some speakers and they had the cranked up to 11 and we just about had to yell constantly to have conversation. It was kinda interesting in a way because after a while people just kinda subconsciously gave up on conversation and by the end of the evening a few of us were just sitting there quietly. Anyways, along with our drinks we ordered a pretty good assortment of \"bar\" type food. Sandwiches, wings, chicken tenders, mozzarella sticks, fried pickles, french fries, nachos and even pizza. I sampled a little bit of everything just about since we were all doing a communal snacking type deal and I think the only thing that was even borderline decent was the mini chicken tenders. The nachos had some kind of cheese whiz type sauce which tasted like it was from a jar. I think they brought us 6 or so mozzarella sticks and at least two of them didn't even have any cheese in them. The fried pickles were the soggiest incarnation I've ever tasted and the both the pizza and chicken sandwich were greasy. Overall it was just a crummy meal. They do seem to have a very good drink selection though and a full bar even though the drinks are a little overpriced. If I could say one good thing about the place it is that the wait staff seemed very friendly and was on top of their game. Our server didn't mess anything up and kept all our drinks filled. Another funny note was that the guys running the food to the tables seemed to be clueless as can be. Not only did we get our food but they tried at least 3 additional times to bring us other peoples orders. It's like they had no idea where they were supposed to take the orders.", "Date": "2012-08-18", "Author_Location": "Raleigh, NC"}, {"Author": "Clt A.", "ReviewID": "JRVIwiwbQBA6d5QbmMb16A", "Overall": "2.0", "Content": "Food is crap. Some good beers, but typical corporate sports bar. The staff is awesome but management needs a dose of reality. This place used to be a thurs-Fri after work cocktail meetup but then they started charging $10 to park in the deck...seriously it's 6pm. Weak. Go to Fitzgerald's; free parking, big bar, good beers.", "Date": "2013-01-21", "Author_Location": "Charlotte, NC"}, {"Author": "Chris C.", "ReviewID": "fN463OiRkc9loMhWXftBFA", "Overall": "2.0", "Content": "Tremendous selection of beers at reasonable prices. We had pizza and wings. The pizza was good. A razor-thin crispy crust with a generous amount of toppings. We tried both the buffalo-style and dry rub wings. The buffalo wings were very standard bordering on sub-standard with the sauce being too vinegary with little heat. The dry-rub wings were fantastic. Grilled rather than fried with a smoky flavor. We ended up coming back later in the evening just to order another dozen. The service and attitude were for the most part terrible. Our server for the first visit was very slow and imattentive. I ended up asking a passing server for a plate and silverware. Our second visit was a study in bad service. We were told there was a 25 minute wait despite there being at least a dozen empty tables. We decided to wait in the crowded bar area and any time we sat at an empty table just to get out of the way we were immediately chastised by either a server or the hostess. Explaining that we were not trying to steal the table but rather just trying clear the aisles fell on deaf and rude ears. The ironic part was when we finally were seated we didnt see a server for TWENTY minutes. We had to go complain to the same rude hostess before we got any service. Not worth the hassle for me. I wont be back.", "Date": "2013-10-20", "Author_Location": "Ballwin, MO"}, {"Author": "W. L.", "ReviewID": "5ws2SmAZNaQo2C2CPPqwaA", "Overall": "4.0", "Content": "I've liked Carolina Ale House since my days in Raleigh. I've been to this location in Uptown a few times. The food isn't something that you can't find somewhere else, but the wings and burgers are good. The reason I like this place is because I can go in at 11pm, have a drink and find a seat to watch the game. I have yet to find a lot of places Uptown where you can do this.", "Date": "2012-11-29", "Author_Location": "Charlotte, NC"}, {"Author": "Hailey H.", "ReviewID": "DyNOvyFfJ4UwTLRiw7lbAg", "Overall": "2.0", "Content": "lots of tvs, lots of beers, lots of bar space.a decent (two storied) addition to the uptown sports bar scene, downstairs is filled with tables, a large bar, and plenty of screens, below an upstairs with a smaller bar, some tables, even more tvs, a pool table, and some games. My first night there we stayed downstairs at the bar. Every game we wanted to see was on (baseball and football) and there was definitely a great energy level. The main issue was halfway down the bar some patrons were smashing dishes at what started out as baseball errors (or so we were told by a bartender) and then escalated to whenever they felt like smashing a glass into the well of the bar. I'm not really sure why the bar staff was putting up with the constant glass shrapnel (followed by the need to sweep) especially since a few were almost hit themselves, but it went on the whole time we were there. Also, the drinks seemed fairly weak and overly sweet (even a switch to a diet mixer didn't help) luckily, they have lots of beer!My second visit we sat upstairs and it started out quieter, but as the evening progressed it definitely picked up. (I loved the TVs mounted on the support beams right next to the table.) We had some problems accessing the wireless and after thirty minutes of \"try this password, okay well then try this password\" the manager finally apologized, said the system must be down, and that he'd cover our beers for the trouble. Completely unnecessary, but we were happy with the offer, ordered some food, and continued to watch the games. After noshing a bit we decided to play a game of pool (maybe 15 feet from our table), and amidst the game looked up to find that our table was being cleared (although we had left some personal items, some food we were still snacking on, and drinks) and a new party was being sat down at it. Our server caught it too late, post unnecessary tongue lashing from the hostess for not clearing her own table. Again we received apologies and a promise to cover a round, and we continued to play pool. Eventually when we decided to close out (after it took forever to find our server as she had so many tables) we find out nothing was comped and I'm still fairly certain we were charged for an extra beer we didn't even order. That being said we just wanted to get out of the place and move on with our evening, so we paid and left. There are places I'd visit before returning to the ale house again, but with its TVs, beer selection, and decent specials, I'm sure I'll find myself there again... I just won't be expecting much.", "Date": "2011-11-06", "Author_Location": "Charlotte, NC"}, {"Author": "Eddie W.", "ReviewID": "tffetFfQAor4vhUNbLof2A", "Overall": "2.0", "Content": "Had the ribs, which was cold and tasteless, seems like the ribs came out of the frig and they slap some barbacue sauce over it and serve. \u00a0The calamari appetiizer was ok. \u00a0The bar wasn't busy, but yet the bartender was unattentive at all, didn't ask how the food was or even ask if i wanted another beer. \u00a0I have to keep asking her rather then them asking if i needed anything or how the food was.", "Date": "2012-12-20", "Author_Location": "Boston, MA"}, {"Author": "Stella K.", "ReviewID": "B_We-E3M0xuqwQrwP89oIg", "Overall": "1.0", "Content": "Absolutely HORRIBLE. My expectations were already set low when a friend warned me that the food she ate had not been that great at the other locations- but I never imagined it could be so bad. Not only did they forget half of our order the first time- but then each entree came out either cold, incorrect or was just completely missing. Even the three times another waiter came by to double check what was missing and they still got it incorrect! Not sure who is at fault for this when you realize your waitress is the only bartender and server upstairs on a Monday night- but then again she didnt write anything down either. A manager thought it would be good customer service to practically beg us to take other food from the kitchen but frankly we had all lost our appetite at that point. There are many sports bars in Charlotte and I'd rather go to one that has good food, great service and they dont charge you for the food that they messed up on or forgot to bring you.", "Date": "2011-11-08", "Author_Location": "Charlotte, NC"}, {"Author": "Mike D.", "ReviewID": "Tz20LmQ5iJEuhiEaINQHpw", "Overall": "3.0", "Content": "Stopped in for lunch a couple days ago and can't say had any complaints. \u00a0Its a very large place with two floors and tons of TV's. \u00a0Definitely has potential to be a great place to watch a game. \u00a0I will be going back soon just for that reason. \u00a0I got a cup of chili, just so I could try it and it was above average. \u00a0I really like a good \u00a0chili :) I ended up getting some type of \u00a0turkey avocado wrap for my lunch and it was decent. \u00a0This is not a classy play, but it is nice and it seems to be above average bar food. \u00a0My friend got the turkey club pita and that also looked very decent. \u00a0They are in the process of building the outdoor patio, so that will just add to possibilities.", "Date": "2012-02-21", "Author_Location": "Waltham, MA"}, {"Author": "James W.", "ReviewID": "TXqeAEVhVHKVjRyvyZKUIA", "Overall": "1.0", "Content": "Worst place I've been in a long time. I live Uptown and go out often and from my 8 years experience I've never been to a place so terrible. The manager Kenny is a complete joke and asked me to leave because I was sitting at a table waiting for people after I already bought a beer. He walked up to the bar and created a ridiculous scene yelling my last name for my tab as if I committed a crime to get me out. When he returned I explained if he would have asked nicely I would have been happy to move. He raised his voice again when I asked for the persons name who was in charge of him. He gladly gave me the name as if he was in the right while everyone around me stared at him like he was crazy! A couple of minutes later he came to apologize and offered to buy me a beer like nothing happened. Of course he spilled the beer all over me and didn't apologize. In the end if you have the unfortunate experience of meeting Kenny you'll be sure to have a terrible experience.", "Date": "2013-01-12", "Author_Location": "Uptown, Charlotte, NC"}, {"Author": "Courtney B.", "ReviewID": "zekpl33e_OnoDvzEybgLxw", "Overall": "2.0", "Content": "Went with my boyfriend for a few after dinner drinks and was a bit disappointed. The place was packed but the 2 bartenders were more concerned about talking to their friend or the regulars. The service was extremely slow.", "Date": "2011-10-19", "Author_Location": "Bethlehem, PA"}, {"Author": "Bill T.", "ReviewID": "lSGWvv5sPwdLs3mpD-x_wg", "Overall": "3.0", "Content": "Typical bar-type food, good beers on draft, lots of TVs......good place to watch a game. \u00a0I highly recommend the Buffalo Chicken Sandwich, or the Blackened Tuna sandwich.", "Date": "2012-01-11", "Author_Location": "Charlotte, NC"}, {"Author": "James G.", "ReviewID": "opcscn089YBiwOTEAmjGpg", "Overall": "4.0", "Content": "Good place to catch a game and brew. Plenty of beers to choose from to go along with pretty tasty food. Friendly staff! \u00a0'Right Pricing'..give this place a try.", "Date": "2012-02-22", "Author_Location": "Barrington, IL"}], "RestaurantInfo": {"RestaurantID": "FvjHm_512l6myJU8SRR7PQ", "Name": "Carolina Ale House", "Price": "$$", "RestaurantURL": "/biz/carolina-ale-house-charlotte", "Longitude": " -80.84265999999999", "Address": "201 S College StCharlotte, NC 28244", "Latitude": " 35.225047000000004", "ImgURL": "//s3-media1.fl.yelpcdn.com/bphoto/gCdErhFpISp9ObRwDWF6xw/90s.jpg"}} |
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"commit": "30c72925146d9d54f85353426bae6c5f1e1d33bc",
"encoding": "base64",
"format": ">ff",
"signals": [
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"isotope": "Ar40"
},
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"detector": "L2(CDD)",
"isotope": "Ar36"
},
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"detector": "L1",
"isotope": "Ar37"
},
{
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"detector": "AX",
"isotope": "Ar38"
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{"poster":"sunflowergirl","date":"2018-08-19T21:05:46.941+0000","title":"Emparejamientos","subforum":"Reclutamiento","up_votes":3,"down_votes":1,"body":"Honestamente estoy tan cansada de los emparejamientos. He perdido dos promo a Plata I, y mi PL sigue bajando porque me tocan unranked o troll. Y literalmente la razón por la que he perdido las promo ha sido por esto último. Estoy cansadísima. Normalmente juego support, pero he jugado también algunas en mid ya que me va pasable cuando voy esa línea y así evito que me toque alguien que fedee mucho en mid, como por ejemplo, el Ekko 1/5 que me salió hace dos días. Y si no me equivoco, esa fue la partida por la que perdí una de las dos promo. \r\n\r\nSigo sin entender cuál es la lógica de que te pueda salir un unranked en promo a Plata I. Entiendo como funcionan los emparejamientos ahora, pero es frustrante que todo el equipo vaya bien y que alguien que va 2/10 te haga perder. Sigh.\r\n\r\nEn fin, ¿algún consejo para subir?","replies":[{"poster":"CounterWards","date":"2018-08-19T21:17:33.682+0000","up_votes":3,"down_votes":0,"body":"Un unranked tiene elo de plata 3 aprox por lo que al ser plata 2 te van a salir siempre.\n\nComo consejo te diria que no pierdas linea, perder linea es perder la partida. Lleva un champ con el que puedas carrear a tu adc, ej morgana, nami, blitz, pyke. \nTambien podrias mirar videos con tips para sup, por ejemplo si tu linea esta pusheada hasta la torre enemiga aprovecha para ir a wardear, metete un poco en la jg enemiga y wardea.\nOtro consejo es tomar en cuenta el lvl 2, si ves que vas a pasar a lvl 2 mas rapido que los de enfrente aprovecha para pelearles ya que van a tener una habilidad mas de ventajas. Y bueno asi tenes varias cosas con las que podes mejorar y carrear. Suerte en la grieta!","replies":[]},{"poster":"r K","date":"2018-08-19T23:29:56.049+0000","up_votes":1,"down_votes":2,"body":"tu MMR es muy bajo, por eso te salen los tipicos trolls que feedean o se van afk (aunque de estos tipos hay en todos las ligas, pero mientras menor MMR mas aparecen), la solucion para esto es solamente jugar y jugar bien, no importa pierdes pero siempre intenta conseguir S asi tu MMR subira y te emparejaran con gente mejor, y para subir de liga te daria el mismo consejo anterior, solo juega, en algun momento subiras, solo se constante y en vez de darle atencion a los trolls que te salen usa la opcion de mutear, ya sea en el chat con /mute all para no leerlos mas o /fullmute al para no leerlos ni ver sus señales, asi no te distraeras, suerte!","replies":[{"poster":"Gahl","date":"2018-08-20T00:52:57.914+0000","up_votes":2,"down_votes":0,"body":"Es no es verdad, sacar S no mejora tu mmr, no hace anda realmente. La unica forma de subir el mmr es ganando","replies":[]},{"poster":"Døkkálfr","date":"2018-08-26T02:04:57.909+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=r K,realm=LAS,application-id=z7ypWKrA,discussion-id=8APwEqVH,comment-id=0002,timestamp=2018-08-19T23:29:56.049+0000)\n>\n> tu MMR es muy bajo, por eso te salen los tipicos trolls que feedean o se van afk (aunque de estos tipos hay en todos las ligas, pero mientras menor MMR mas aparecen), la solucion para esto es solamente jugar y jugar bien, no importa pierdes pero siempre intenta conseguir S asi tu MMR subira y te emparejaran con gente mejor, y para subir de liga te daria el mismo consejo anterior, solo juega, en algun momento subiras, solo se constante y en vez de darle atencion a los trolls que te salen usa la opcion de mutear, ya sea en el chat con /mute all para no leerlos mas o /fullmute al para no leerlos ni ver sus señales, asi no te distraeras, suerte!\n\nSacar S no te mejora el MMR, no mientan, por favor, no digan estupideces sin tener conocimiento. La única forma de mejorar el MMR es ganar, meter una buena racha (+3 de games seguidos ganando).","replies":[]}]},{"poster":"SolidDisk","date":"2018-08-19T21:23:12.078+0000","up_votes":1,"down_votes":0,"body":"Te puse grabar para que revises.\nNoto que cada vez que el supp enemigo te lleva esxtenuar caes xd","replies":[]}]} |
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"url": "http://www.its.ucdavis.edu/about/faculty-researchers/single/?person=yang-christopher"
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{
"directions": [
"Freeze banana halves for 2 hours.",
"Preheat oven to 350 degrees F (175 degrees C).",
"Wrap each frozen banana half with crescent roll dough until each is completely covered; arrange on a nonstick baking sheet.",
"Bake in the preheated oven until golden brown, 10 to 14 minutes.",
"Place each wrapped banana in a serving dish and top with 1 scoop ice cream, 1 teaspoon chocolate syrup, and 1 teaspoon caramel sauce."
],
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"1 (8 ounce) package refrigerated crescent roll dough",
"8 scoops Neapolitan ice cream",
"8 teaspoons chocolate syrup (optional)",
"8 teaspoons caramel sauce (optional)"
],
"language": "en-US",
"source": "allrecipes.com",
"tags": [],
"title": "Roasted Banana Ice Cream Sundae",
"url": "http://allrecipes.com/recipe/244368/roasted-banana-ice-cream-sundae/"
}
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{"poster":"Cabbages","date":"2016-06-02T03:07:37.407+0000","title":"HARSHER PUNISHMENTS FOR RANKED!","subforum":"Player Behaviour","up_votes":1,"down_votes":1,"body":"Anyone else agree there should be harsher punishments for intentionally trolling in ranked? \r\n\r\nAlso I think there should be stricter 'rules' on being able to play ranked, for example lets just say someone has lots of reports, they can't play ranked for whatever amount of time.\r\n\r\nit's so hard to rise the levels due to so many people 'trying out ranked' and having the 'Normals' attitude that if you aren't doing well at 10-20 minutes then you give up. It's extremely frustrating. \r\n\r\nIf you agree with any of this, please click the up arrow so Riot hopefully see's this and implements more to be allowed to play ranked and harsher punishment if you stuff up a game on purpose.","replies":[{"poster":"Cabbages","date":"2016-06-27T10:41:00.611+0000","up_votes":1,"down_votes":0,"body":"Bump","replies":[]},{"poster":"AshenOCE","date":"2016-06-03T00:41:58.398+0000","up_votes":1,"down_votes":0,"body":"Ranked is quite a competitive environment. And for someone who just starts to play it they may have struggles to change to suit what is needed of them in a ranked match.\n\nAs for harsher punishments, they are already harsh enough. Eventually they will get a ban which should reform them, if it does not rest easy knowing that their account will most likely be perma banned.\n\nWhat is worse then having all your experience and money gone after wasting your second chance by being an idiot?","replies":[{"poster":"Cabbages","date":"2016-06-03T06:40:11.110+0000","up_votes":1,"down_votes":0,"body":"I'm really surprised to read that you think they are harsh enough... you don't agree that punishments of trolling/stealing lanes in ranked should be different to the punishments already in place for normals?? \n\nBy the way your third paragraph makes no sense to what my point is... it takes awhile for these reports to build up and my point is that ranked is more serious than normals, so why shouldn't there be harsher/stricter rules for it?","replies":[]}]}]} |
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{"poster":"UserHd8","date":"2016-10-10T20:15:21.892+0000","title":"RP wie ging das noch mal mit dem Link für´s Zeigen von lol ?","subforum":"Hilfe & Support","up_votes":1,"down_votes":0,"body":"Ich möchte wissen, wie oder woher man den Link bekommt, den man seinen Freunding gibt, weil ich ihn lol gezeigt habe. Danke für eure hilfe.{{item:3642}}","replies":[{"poster":"Yaxtee","date":"2016-10-10T20:17:30.161+0000","up_votes":1,"down_votes":0,"body":"Meinst du das Refer A Friend System?\nDas gibt es schon seit einigen Monaten nicht mehr, das wurde komplett abgeschafft :)","replies":[{"poster":"UserHd8","date":"2016-10-10T20:18:36.838+0000","up_votes":1,"down_votes":0,"body":"Aso ok dank für die schnelle Antwort. ;D{{item:2302}}","replies":[{"poster":"Yaxtee","date":"2016-10-10T20:39:12.531+0000","up_votes":1,"down_votes":0,"body":"Gern <3","replies":[]}]}]}]} |
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{
"directions": [
"Place processed cheese, chili, cream cheese, and picante sauce into a slow cooker, set on Low, and let processed cheese melt, about 30 minutes. Stir until thoroughly combined; serve warm."
],
"ingredients": [
"1 (2 pound) loaf processed cheese (such as Velveeta\u00ae), cubed",
"2 (15 ounce) cans chili without beans (such as Hormel\u00ae)",
"2 (8 ounce) packages cream cheese, cubed",
"1 (16 ounce) jar picante sauce (such as Pace\u00ae)"
],
"language": "en-US",
"source": "allrecipes.com",
"tags": [],
"title": "Warm Chili Cheese Dip",
"url": "http://allrecipes.com/recipe/231858/warm-chili-cheese-dip/"
}
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{"poster":"monicalautaroma","date":"2016-07-27T02:09:03.174+0000","title":"Shioooot mi aspecto misteriosoo :C","subforum":"Charlas Generales","up_votes":1,"down_votes":21,"body":"1. Porque a algunos usuarios se lo mandaste el aspecto y a algunos otros no? (como en mi caso){{item:2050}} {{item:3070}}","replies":[{"poster":"NickW","date":"2016-07-27T02:15:24.592+0000","up_votes":4,"down_votes":0,"body":"Ya es 11 de agosto? Como pasa el tiempo.\nAh, no? Entonces espere señor.\nLos envíos son por tandas, no es que recibe uno y recibe todo el server.","replies":[]},{"poster":"The Inkanus","date":"2016-07-27T02:09:55.123+0000","up_votes":1,"down_votes":0,"body":"Ya pasó el 10 de agosto?","replies":[{"poster":"monicalautaroma","date":"2016-07-27T02:32:11.112+0000","up_votes":1,"down_votes":0,"body":"Porque mis compas recibieron el aspecto y son de mismo club mio?","replies":[{"poster":"The Inkanus","date":"2016-07-27T02:55:18.749+0000","up_votes":1,"down_votes":0,"body":"Todos?, entonces tuvieron suerte, mientras tanto siguen entregando, hasta el 10 de agosto. Si el 11 de agosto no tenés nada ahí si, derechito al foro a reclamar.\n\nAaaaaaaaaaaaaaa menos que hayas tenido alguna sanción en los últimos meses... es el caso?","replies":[{"poster":"monicalautaroma","date":"2016-07-27T03:33:32.018+0000","up_votes":1,"down_votes":0,"body":"Nunca tube una sancion","replies":[{"poster":"The Inkanus","date":"2016-07-27T03:38:13.180+0000","up_votes":1,"down_votes":0,"body":"A seguir esperando entonces!\n\nSe entiende que la primer reacción sea reclamar, pero pusieron una fecha tope de tiempo para entregar los premios así que hacerlo antes de pasado ese día es guardar flatulencias en un canasto.\n\nSaludos","replies":[]}]}]}]}]},{"poster":"lanchi123","date":"2016-07-27T02:12:18.746+0000","up_votes":1,"down_votes":0,"body":"Paciencia invocador {{champion:7}}","replies":[]},{"poster":"Ąrš Ńøtõrią","date":"2016-07-27T02:12:06.196+0000","up_votes":1,"down_votes":0,"body":"Te llegará el aspecto. El 10 de agosto es la fecha límite en que te puede llegar; claro... en caso de que hayas cumplido con los requisitos para se te lo otorgue.\nUn cordial saludo.","replies":[]}]} |
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{"poster":"TeutzuNaiky","date":"2016-10-01T18:59:47.805+0000","title":"Please help me fix bug Logging onto chat service..","subforum":"[ARCHIVED] Help & Support","up_votes":2,"down_votes":0,"body":"I need help, I tried to do or what I watched all the tutorials but still could not solve the bug Logging onto chat service ..","replies":[{"poster":"Targons Blade","date":"2016-10-02T22:21:55.094+0000","up_votes":1,"down_votes":0,"body":"Most of the time when this happens, it's because of poor ISP routing to the chat service that prevents a good connection from happening. Before we look into your routing to the servers, I'd like you to ensure your local network settings are compatible with our [network guide.](https://support.riotgames.com/hc/en-us/articles/201752664-Troubleshooting-Connection-Issues)\n\nLet me know if those steps caused any change.","replies":[]},{"poster":"Mr Vulcanator","date":"2016-10-01T20:40:10.594+0000","up_votes":1,"down_votes":0,"body":"Same here.","replies":[]},{"poster":"MilenkoXD","date":"2016-10-01T19:17:04.537+0000","up_votes":1,"down_votes":0,"body":"Same problem pls help ...","replies":[]},{"poster":"Hoppedyt","date":"2016-10-01T20:58:44.434+0000","up_votes":0,"down_votes":1,"body":"Please Riot, fix the problem. It has now been \"on\" for 6 hours..... will you please just fix the problem... now!","replies":[]}]} |
{"category": "Criminal Appeal", "status": "Disposition Filed/Case Closed", "case_url": "http://caseinfo.nvsupremecourt.us/public/caseView.do?csIID=18355", "caption": "LOUGH (WILLIAM) VS. STATE", "type": "Fast Track", "case_no": "50585", "subtype": "Direct", "parties": [{"Represented By": "Steve E. Evenson", "Role": "Appellant", "Party Name": "William Paul Lough"}, {"Represented By": "Attorney General/Carson City", "Role": "Respondent", "Party Name": "The State of Nevada"}], "docket": [{"Date": "11/29/2007", "Type/Subtype": "Filing Fee - Filing Fee Waived", "Description": "Filing Fee Waived."}, {"Type/Subtype": "Notice of Appeal Documents - Notice of Appeal/Fast Track", "Description": "Filed Certified Copy of Notice of Appeal/Fast Track. Fast track appeal docketed in the Supreme Court this day. (Fast Track Notice mailed to all counsel.)", "Document Number": "07-25819", "Document URL": "/document/view.do?csNameID=18355&csIID=18355&deLinkID=191761&sireDocumentNumber=07-25819", "Date": "11/29/2007", "Pending?": "NA"}, {"Type/Subtype": "Order/Procedural - Order", "Description": "Filed Order. Fast track statement or show cause due: 10 days.", "Document Number": "08-02324", "Document URL": "/document/view.do?csNameID=18355&csIID=18355&deLinkID=195950&sireDocumentNumber=08-02324", "Date": "01/30/2008", "Pending?": "NA"}, {"Type/Subtype": "Motion - Motion to Dismiss Appeal", "Description": "Filed Motion to Dismiss Appeal.", "Document Number": "08-03567", "Document URL": "/document/view.do?csNameID=18355&csIID=18355&deLinkID=280565&sireDocumentNumber=08-03567", "Date": "02/13/2008", "Pending?": "NA"}, {"Type/Subtype": "Order/Procedural - Order", "Description": "Filed Order. Directing Written Response. Due 20 days.", "Document Number": "08-04518", "Document URL": "/document/view.do?csNameID=18355&csIID=18355&deLinkID=205431&sireDocumentNumber=08-04518", "Date": "02/25/2008", "Pending?": "NA"}, {"Type/Subtype": "Notice/Incoming - Affidavit", "Description": "Filed Affidavit. Affidavit of Counsel in Support of Motion to Dismiss.", "Document Number": "08-06826", "Document URL": "/document/view.do?csNameID=18355&csIID=18355&deLinkID=183584&sireDocumentNumber=08-06826", "Date": "03/19/2008", "Pending?": "NA"}, {"Type/Subtype": "Order/Dispositional - Order Dismissing Appeal", "Description": "Filed Order Dismissing Appeal. The motion is granted and we \"ORDER this appeal DISMISSED.\" fn1[Because no remittitur will issue in this matter, the one-year period for filing a post-conviction habeas corpus petition under NRS 34.726 (1) shall commence to run from the date of this order.] SNP08-JH/RP/MD", "Document Number": "08-07695", "Document URL": "/document/view.do?csNameID=18355&csIID=18355&deLinkID=280786&sireDocumentNumber=08-07695", "Date": "03/28/2008", "Pending?": "NA"}, {"Date": "03/28/2008", "Type/Subtype": "Case Status Update - Case Closed", "Description": "Case Closed. No remittitur issued."}], "filed.date": "11/29/2007", "metadata": {"To SP/Judge:": "NA", "Lower Court Case(s):": "Churchill Co. - Tenth Judicial District - 33196", "Submission Date:": "NA", "Panel Assigned:": "Panel", "Case Status:": "Disposition Filed/Case Closed", "Replacement:": "NA", "Oral Argument Location:": "NA", "Classification:": "Criminal Appeal - Fast Track - Direct", "Oral Argument:": "NA", "Disqualifications:": "NA", "SP Status:": "NA", "Short Caption:": "LOUGH (WILLIAM) VS. STATE", "How Submitted:": "NA"}} |
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"Whisk the egg in a bowl until thoroughly beaten. Stir the soup slowly in a clockwise circular motion, and slowly pour the egg into the moving soup. Stir the egg lightly through the soup with a fork to produce egg strands, and sprinkle with black pepper to serve."
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"1 teaspoon ground nutmeg, or to taste",
"1 egg, or more as desired",
"fresh ground pepper (optional)"
],
"language": "en-US",
"source": "allrecipes.com",
"tags": [],
"title": "Chinese Corn Soup",
"url": "http://allrecipes.com/recipe/180673/chinese-corn-soup/"
}
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{"poster":"Timothy D","date":"2016-07-11T15:39:24.722+0000","title":"MEIN MAIN - Deutsche League of Legends Songparodie!","subforum":"Streams & YouTube","embed":{"description":"► Gefällt dir das Video? Zeige es mit deinem Daumen nach oben oder abonniere direkt: http://goo.gl/LYzghi ►► Download: ab 250 Likes ►►► Facebook, Twitter, Lyrics meinen Livestream und alle Infos zu Suki in der Videobeschreibung: Ihr findet mich auf: ► Folgt mir auf Twitter: https://twitter.com/TimothyDece, ► Facebook: https://www.facebook.com/TimothyDOffical ► Lust mit mir zu quatschen?","url":"https://youtu.be/8j3aRnAGg4g","image":"https://i.ytimg.com/vi/8j3aRnAGg4g/hqdefault.jpg"},"up_votes":17,"down_votes":2,"body":"Peace,\r\n\r\nhab hier mal wieder eine neue League of Legends Songparodie auf deutsch für euch!\r\nWürde mich über eure Meinung und Feedback freuen. :)\r\n\r\n\r\nTimothy","replies":[{"poster":"WinLane LooseLP","date":"2016-07-12T05:33:14.522+0000","up_votes":2,"down_votes":0,"body":"Finde die Verses sau gut, aber beim Chorus krieg ich leider Ohrenkrebs (sorry)","replies":[]},{"poster":"Litzz","date":"2016-07-12T21:30:57.729+0000","up_votes":1,"down_votes":0,"body":"An sich GENIAL! Allerdings ist wie Go FTW schon sagte die Vocals ein einziger \"Matschhaufen\" klingt schlimmer als es ist!\nDas hört man vor allem bei der weiblichen Stimme sehr!\nHoffe aber das ihr noch mehr macht wie gesagt das ist das letzte was fehlt","replies":[]},{"poster":"Allisrem2","date":"2016-07-12T18:14:29.486+0000","up_votes":1,"down_votes":0,"body":"Von der Stimmung, dem Mischen, Video, usw gut, probs.\nWas mich halt stört sind die Reime die ... Sorry, echt wie vom erstklässler wirken =P\nSo killn auf chilln und so, das ist für mich echt cringey xD","replies":[]},{"poster":"ReDcOrSaIr2","date":"2016-07-11T21:08:41.019+0000","up_votes":1,"down_votes":0,"body":"Finde ich extrem gut!!! Respekt","replies":[]}]} |
{
"an10.237:0.2": "Rāgapeyyāla → rāgādipeyyālaṃ (bj)"
} |
{"artist":"Greg Staples","attack":2,"cardClass":"NEUTRAL","cost":2,"dbfId":39842,"health":2,"id":"OG_318t","mechanics":["TAUNT"],"name":"Gnoll","set":"OG","text":"<b>Taunt</b>","type":"MINION"} |
{"poster":"Inc3ntive","date":"2016-05-23T17:57:29.809+0000","title":"Entspanntes Team aufbauen [~Gold]","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"Hey Leute ich möchte gerade ein kleines Ranked Team aufbauen um Spaß zu haben und neue Leute kennenzulernen.^^\r\nEs sollte so im Bereich von Gold damit das Matchmaking passt.\r\nAddet mich einfach ingame.","replies":[{"poster":"Napstaablook","date":"2016-05-23T21:46:16.543+0000","up_votes":1,"down_votes":0,"body":"Lanes sind egal?","replies":[]},{"poster":"Inc3ntive","date":"2016-05-23T17:57:47.607+0000","up_votes":1,"down_votes":0,"body":"liegen*","replies":[{"poster":"BigSnipe","date":"2016-05-23T18:24:22.407+0000","up_votes":1,"down_votes":0,"body":"Du kannst deinen Post auch Bearbeiten^^","replies":[]}]}]} |
{"response": {"status": "ok", "userTier": "developer", "total": 1, "content": {"id": "books/2002/mar/09/fiction.reviews2", "type": "article", "sectionId": "books", "sectionName": "Books", "webPublicationDate": "2002-03-09T23:53:12Z", "webTitle": "Review: Dark Palace by Frank Moorhouse", "webUrl": "https://www.theguardian.com/books/2002/mar/09/fiction.reviews2", "apiUrl": "https://content.guardianapis.com/books/2002/mar/09/fiction.reviews2", "fields": {"headline": "How to be good", "bodyText": "Dark Palace Frank Moorhouse 688pp, Picador, \u00a315.99 I doubt whether Frank Moorhouse, whose reputation in Australia has been built on his witty reporting of life among city-dwelling professionals and conference-goers, would expect to find himself likened to Henry James. Yet James's complicated explorations of American innocents (supposed) and their European corrupters (assumed) is strongly brought to mind in Moorhouse's duo of novels about the interwar activities of the League of Nations, of which Dark Palace is the concluding part. Edith Campbell Berry, a young Australian science graduate of pioneer stock, comes to Europe to work in Geneva for the newly established League soon after the first world war. Her adventures are the substance of Grand Days, Dark Palace 's predecessor. In the new novel it is 1931, and the League is already beginning to crack up. The United States has never joined, Japan is invading Manchuria, and the idea of sanctions is about to be born. Thereafter, for 650 pages, Moorhouse charts the steady decline of international idealism in the face of encroaching of fascism, nazism, isolationism and appeasement. The last part of the book is devoted to the League's ghost-life during the second world war. Final disillusionment comes when the survivors are all but excluded from the conference which establishes the United Nations in San Francisco in 1946. Russians and Americans alike have lost any appetite for disarmament and pacifism. Moorhouse handles these historical events with virtuosity. He is especially adroit at mixing real-life people with his invented characters. To have Edith talking convincingly with Anthony Eden, Pierre Laval, Enoch Powell (in an interlude back in Sydney where Powell is a young university lecturer) and James Joyce is a considerable achievement. Even more admirable is the natural way Moorhouse builds up readers' anxiety that the League should succeed, and caps their disappointment at the way the \"low dishonest decade\" of the 1930s destroys all hope of peace and rule of law. The fall of Paris, bringing about a treacherous change of heart in Avenol, the French deputy director of the League, is the dramatic highlight of Moorhouse's narrative. However, it is the Jamesian tone that remains Dark Palace 's chief adornment, though Edith is no Isobel Archer. She is shown as someone able to hold her own with European sophisticates, and, more originally, as an embodiment of how far morality has moved since the 19th century made its easy identification of the dichotomy of innocence and corruption as the received way of presenting encounters between the new world and the old. The League, as well as the people caught up in it, demonstrate for Moorhouse that human frailty is independent of country of origin. He deserves particular praise for eschewing any notion of Australia as a new-found land free of traditional duplicity. Nobody now, he suggests, comes to Europe to have his or her idealism exposed or exploited. Henry James let such doubts show in his confrontations between old and new, but he was wedded of necessity to a starker, if richer, opposition. Today, the stain is universal. Dark Palace is also a love story, and a voluptuous one. In Grand Days Edith meets two British officers, survivors of the trenches. She becomes the lover of the first and the wife of the second. They are very different sorts of men. Ambrose is suave, intelligent, a master of good taste, and possesses a sardonic humour. He is also a cross-dresser, a lover of women and men alike, and unashamedly at home in female underwear and night attire. Robert is a journalist, forever following disasters across new frontiers. He is straight, but he offers Edith less satisfaction than Ambrose does. This is the sexual imbroglio, but it is shown as mattering less than the ordering of love in Edith's life. Moorhouse presents Ambrose's ambiguous nature and that of Edith herself, a more determinedly heterosexual person, as coordinates of the quest for true love. He outfaces all assumptions that such a thing could not coexist with transvestism. In Geneva, those on the side of \"good\" are bizarre, while the \"wicked\" are orthodox and unimaginative. Plans to save Jewish refugees and keep the flag of liberalism flying in Switzerland are plotted at the Molly Club, chosen relaxation point for Geneva's queer community. But Moorhouse is not purveying any sort of upside-down morality. His handling of sexual conduct, from self-pleasuring to fetishism, is uncensorious but also without illusions. He understands that in life, love stories can bear a great deal of reality. At the novel's end, Edith and Ambrose have nowhere to go. The world, of course, has watched the United Nations fail almost as disastrously as the League did. I hope Moorhouse will take a deep breath and send Edith and Ambrose into the field again to treat the horror stories surrounding Korea, Suez, Hungary, the Berlin Wall - all the way to the Twin Towers. They'll be very old, but Dark Palace suggests that they have the stamina for it. \u00b7 Peter Porter's most recent book of poems is Max Is Missing (Picador, \u00a37.99)."}, "isHosted": false, "pillarId": "pillar/arts", "pillarName": "Arts"}}} |
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"text": "\u0422\u0435\u043f\u0435\u0440\u044c \u043a\u043e\u0433\u0434\u0430 \u0432\u044b \u0437\u0430\u043a\u043e\u043d\u0447\u0438\u043b\u0438 \u0443\u0440\u043e\u043a \u043e \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0438 \u0441\u043b\u043e\u0435\u0432 \u043d\u0430 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0438, \u044d\u0442\u043e \u0437\u0430\u0434\u0430\u043d\u0438\u0435 \u043f\u043e\u043c\u043e\u0436\u0435\u0442 \u0432\u0430\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u043d\u0438\u044f \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435. \u041d\u0430\u0447\u043d\u0438\u0442\u0435 \u0441 \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0439\u0442\u0435 \u0444\u043e\u0442\u043e \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u043c\u0438 \u0441\u043b\u043e\u044f\u043c\u0438, \u043e\u0434\u0438\u043d, \u0441 \u0432\u0437\u044f\u0442\u044b\u043c \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e \u043f\u0440\u0435\u0434\u043c\u0435\u0442\u043e\u043c, \u0438 \u0432\u0442\u043e\u0440\u043e\u0439, \u043d\u0430 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0435\u043d \u0444\u043e\u043d.",
"type": "BasicTextCard",
"id": "text_card_0"
},
{
"medium": "photo",
"length": "0:20",
"goals": [
"\u0420\u0430\u0437\u043c\u0435\u0441\u0442\u0438\u0442\u0435 \u043e\u0431\u044a\u0435\u043a\u0442 \u0438\u043b\u0438 \u0433\u0435\u0440\u043e\u044f \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 \u043d\u0430 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e\u043c \u0441\u043b\u043e\u0435."
],
"clipType": "Character",
"type": "ClipCard",
"id": "clip_card_0"
},
{
"type": "TipCard",
"id": "tip_card_0",
"tags": [
"layers"
]
},
{
"medium": "photo",
"type": "ReviewCard",
"id": "review_card_0"
},
{
"text": "\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0443\u0440\u043e\u043a",
"link": "capture_peak_action::intro_card_0",
"id": "link_card_1",
"type": "LinkCard"
},
{
"text": "\u041f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0439 \u0443\u0440\u043e\u043a",
"link": "compose_with_a_grid::intro_card_0",
"id": "link_card_2",
"type": "LinkCard"
}
],
"id": "create_layers_activity"
} |
{
"the_photo_essay::quiz_card_3::choices[2]::text": "ሰፋ ያሉ ጉዳዮችን የሚዳስሱ ታሪኮች ሁልጊዜም በተወሰኑ ነገሮች ላይ ብቻ ከሚያተኩሩ ታሪኮች ይሻላሉ።",
"the_photo_essay::markdown_card_5::text": "ማንኛውም የፎቶ ጽሁፍ መዋቅር እና ግልጽ መልእክት ያስፈልገዋል። የፎቶ ጽሁፍ ከሁለት መንገዶች ውስጥ በአንደኛው ሊዋቀር ይችላል፦ እንደ ትረካ ታሪክ ወይም እንደ ተከታታይ ታሪክ። በመጨረሻው ኤዲት ላይ ከ5-8 የሚሆኑ ምስሎች እንዲኖርዎት ያቅዱ። ያንን ያህል ጥቅም ላይ ሊውሉ የሚችሉ ምስሎችን ለማግኘት ከዚያ በላይ በርካታ ፎቶዎችን ማንሳት ሊያስፈልግዎት ይችላል። ",
"the_photo_essay::markdown_card_21::text": "በተከታታይ ውስጥ ያለውን እያንዳንዱን ምስል ልክ እንደሌሎቹ ማድረግ አይጠበቅብዎትም። አንዳንዴ ያንን ማድረግ አይቻልም። ነገር ግን ሊያስታውሷቸው የሚገቡ አንዳንድ ነገሮች እንደሚከተለው ቀርበዋል፦ \n• የእይታ አንግል፦ የሚቻል ከሆነ በተከታታይ ምስሎች ውስጥ ያለውን የእይታ አንግል ተመሳሳይ ለማድረግ ይሞክሩ። ለምሳሌ አንደኛው ምስል በአይን ከፍታ ትክክል ከተነሳ ሁሉንም ምስሎች በአይን ከፍታ ትክክል ያንሱ። \n• የትኩረት ርዝመት፦ በሌንስዎ እና በፎቶ ተነሺዎችዎ መካከል ያለውን ርቀት ተመሳሳይ ለማድረግ ይሞክሩ። ይህ ተመሳሳይ እይታ መኖሩን ያረጋግጣል። \n• ፍሬሚንግ፦ ሁሉም ምስሎች ፍሬም መደረግ ያለባቸው በተመሳሳይ መንገድ ነው። ትኩረቱ በተመሳሳይ ርዝመት ላይ ተደርጎ የሚቆይ ከሆነ ለትላልቅ ነገሮች (ወይም ትልቅ ጭንቅላት ላላቸው ሰዎች) ይበልጥ ወደ ኋላ መሄድ ወይም ለትናንሽ ነገሮች ቀረብ ማለት ሊኖርብዎት ይችላል። \n• ቀለም እና የምስል ጥራት፦ የሚቻል ከሆነ ለአንዳንድ ፎቶዎች ፋላሽ ከመጠቀም እና ለሌሎች ካለመጠቀም ይቆጠቡ። ISO እና የቀለም ሚዛንን ተመሳሳይ በሆነ መልኩ ይጠቀሙ። ",
"the_photo_essay::quiz_card_1::question": "ግሩም የፎቶ ጽሁፎች በዘልማድ የተደረደሩ ምስሎች ብቻ አይደሉም። የታሪክ መዋቅር ይፈልጋሉ። ከዚህ በታች ከቀረቡት ምርጫዎች ውስጥ ለአንድ ታሪክ መዋቅር የሚሰጡት የትኞቹ ናቸው (ከአንድ በላይ መልስ ሊኖር ይችላል)?",
"the_photo_essay::markdown_card_22::text": "## መታወስ ያለባቸው ነገሮች \n• በርካታ ፎቶዎችን ያንሱ። \n• የተለያዮ ፎቶዎችን ማንሳት ወሳኝ ነው።\n• መሉ ታሪክን ለማቅረብ ስለሚያስፈልጉዎት ምስሎች አስቀድመው ያስቡ።\n• የዘገባ ሽፋንዎን አስቀድመው ያቅዱ። ",
"the_photo_essay::markdown_card_17::text": " \n# ድርጊት \nበቡድን እንቅስቃሴ ውስጥ ፎቶ የሚያነሱት ግለሰብ በሚያደርገው እንቅስቃሴ ላይ ያተኩሩ። ገጸ ባህሪዎ ከሌሎች ሰዎች ጋር ሲነጋገር የሚያሳዩ ምስሎች ለገጸ ባህሪዎ ሰዋዊ ቅርጽ ለማላበስ ይረዳሉ። \n",
"the_photo_essay::quiz_card_3::choices[0]::text": "የመጨረሻው ፕሮጀችት ከ8 እስከ 20 ምስሎች ይኖሩታል። ",
"the_photo_essay::title": "የፎቶ ጽሁፍ",
"the_photo_essay::markdown_card_2::text": "ብዙ ምስሎችን የያዘ የፎቶ ጽሁፍ በራሱ ወይም ከሌሎች የታሪክ ይዘቶች ጋር ኃያል የታሪክ መንገሪያ መሳሪያ ሊሆን ይችላል። የፎቶ ተንሸራታች ትእይንቶች በጣም ታዋቂ ከሆኑ የመስመር ላይ ይዘቶች ውስጥ አንዱ ሲሆን ብዙ ቁጥር ያላቸው ተመልካቾችን ያሳትፋል። \nጥቅምት 12 ቀን 2005 ዓ.ም ካይሮ፣ ግብፅ በሚገኘው DISC NGO ትምህርት ቤት ውስጥ ወደ 20 የሚጠጉ ተማሪዎች የሚዲያ ማሻሻጥ ትምህርት ተከታትለዋል። ትምህርት ቤቱ የተለያዩ የሚዲያ ስልጠና እና የሶፍትዌር ዲቨሎፕመንት ኮርሶችን ይሰጣል። (ጆን ስሞክ /ስሞል ወርልድ ኒውስ) \n \n \n \n \n \n \n \n \nብዙ ምስሎችን የያዘ የፎቶ ጽሁፍ በራሱ ወይም ከሌሎች የታሪክ ይዘቶች ጋር ኃያል የታሪክ መንገሪያ መሳሪያ ሊሆን ይችላል። የፎቶ ተንሸራታች ትእይንቶች በጣም ታዋቂ ከሆኑ የመስመር ላይ ይዘቶች ውስጥ አንዱ ሲሆን ብዙ ቁጥር ያላቸው ተመልካቾችን ያሳትፋል።",
"the_photo_essay::markdown_card_7::text": "የፎቶግራፊ ትልቁ ጥንካሬው ድራማዊ በሆነ መንገድ ዓለም አቀፋዊ የሆነውን የሰው ልጅ ተሞክሮ ማስረዳት መቻሉ ነው። ግሩም የትረካ ታሪኮች የሚሰሩት ተመልካቾች ከራሳቸው ጋር ሊያዛምዱት በሚችሉት ገጸ ባህሪ ወይም ገጸ ባህሪዎች ዙሪያ ነው። ታዳሚው ራሱን ከታሪኩ ጋር የሚያዛምድበት ነገር ወይም ታሪኩን በአይነ ህሊናው የሚያይበት ሰው ያስፈልገዋል። ይህ የታሪክዎ ማጥመጃ ነው። ይህ ምን እንደሆነ በመለየት ታሪክዎን በጠንካራ እና ትኩረትን በሚስብ ነገር ላይ እንዲያተኩር ማድረግ ይችላሉ። ",
"the_photo_essay::quiz_card_3::question": "ግሩም ታሪኮች በተለምዶ የሚከተሉት ባህሪያት አሏቸው (ከአንድ በላይ ሊሆን ይችላል)። ",
"the_photo_essay::markdown_card_12::text": "# ተንሸራታች የምስል ትእይንት\nየዜና ተቋማት ጥሩ የፎቶ ጽሁፍ ወይም ተንሸራታች የምስል ትእይንት ለማዘጋጀት የሚያስፈልገውን ፎቶ ለመውሰድ ያዋቀሩት ውስብስብ ቀመር አላቸው። ቀመሩ ፎቶግራፈሮች ተመሳሳይነትን እንዲከላከሉ እና መዋቅር መኖሩን እንዲያረጋግጡ እንዲረዳ ተደርጎ የተዘጋጀ ነው። የጥሩ ተንሸራታች የምስል ትእይንት “ገባ” እና “ወጣ” የሚል ነው። ታዳሚው ታሪኩን እየተመለከተ ሲሄድ ምስሎቹ ከጠባብ ወደ ሰፊ ከዚያ ደግሞ መልሰው ወደ ጠባብ በተደጋጋሚ ይመላለሳሉ። እንደዚህ ያለው ትርታ ተመልካቹ እንዲሳብ እና ጠቅ በማድረግ ወደ ሚቀጥለጥለው ምስል መሄዱን እንዲቀጥል ያደርጋል። \nግሩም ተንሸራታች የምስል ትእይንት ለማዘጋጀት የሚያስፈልጉ የተለያዩ አይነት ምስሎች ቀመር እንደሚከተለው ቀርቧል። ለተንሸራታች የምስል ትእይንቱ ግልጽ መዋቅር ለመስጠት ለእያንዳንዱ ምድብ ፎቶዎችን ማንሳትዎን ያረጋግጡ። የተለያዩ አይነት ምስሎች ቀልብን የሚገዛ ታሪክ መንገር ይችላሉ። (ማስታወሻ፦ ይህ ቀመር ለዋና ዋና ነጥቦች ታሪኮች ሁልጊዜም ተግባራዊ ላይደረግ ይችላል። የዋና ዋና ነጥቦች ታሪኮች አብዛኛውን ጊዜ የአንድ ርእሰ ጉዳይ ምርጥ ፎቶግራፎች ስብስብ ናቸው።)\n",
"the_photo_essay::markdown_card_20::text": "## ተከታታይ \nሰኔ 1 ቀን 2004 ዓ.ም. የጀነራል ሙሃመድ ጋዳፊን ውድቀት እና ከአቢዮቱ በኋላ የሃገሪቷን ምኞቶች የሚያሳዩ ትልልቅ ምስሎች የትሪፖሊን ግድግዳዎች ሞልተዋቸዋል። \n \n \n \n \n \n \n \n \nተከታታዩ አንድ አንጻራዊ ነጥብን ለማሳየት የተሰሩ ፎቶዎች ስብስብ ነው። ተከታታይ ፖርትሬቶች ወይም የፈራረሱ ህንጻዎች ወይም የዘመኑን ፋሽን የተከተለ ለየት ያለ የጸሃይ መነጽር ለዚህ ምሳሌ ሊሆን ይችላል። በተከታታይ ውስጥ ያሉ ምስሎች ንጽጽሩን ይበልጥ ለማስረዳት በዘይቤአቸው ተመሳሳይ መሆን አለባቸው። ተከታታይ በራሱ ወይም ከቪዲዮ፣ ከድምጽ ወይም ከጽሁፍ-ብቻ ታሪክ ጎን ለጎን አንድን ሃሳብ ለማስረዳት የሚያገለግል ድንቅ መንገድ ሊሆን ይችላል።",
"the_photo_essay::markdown_card_14::text": " \n# የቦታ ምስል \nታሪክዎ የት እንደተከሰተ ለማሳየት የሰፊ አንግል አነሳስን ይጠቀሙ። አንድ የፎቶ ታሪክ መስራት ማለት ታዳሚዎን በአንዳች ጉዞ ውስጥ እንዲያልፉ ማድረግ ማለት ነው። ይህንን ምስል በመጠቀም ወደ የት እየተጓዙ አንደሆነ እንዲገለጽላቸው ያድርጉ። ይህ ምስል ታዳሚዎ ቀሪውን የታሪኩን ክፍል ጆግራፊያዊ በሆነ አግባብ እንዲረዱ ይረዳቸዋል። ",
"the_photo_essay::quiz_card_2::choices[0]::text": "እውነት ",
"the_photo_essay::markdown_card_9::text": "## የዋና ዋና ነጥቦች ታሪኮች \nበህዳር 13 ቀን 1996 ዓ.ም. ቲብሊስ፣ ጆረጂያ ውስጥ ጆርጂያዊያን ስልጣን ከቀድሞው ፕሬዝዳንት ኤድዋርድ ሼቫርናዝ ወደ አዲሱ መንግስት በህጋዊ መንገድ ሲሸጋገር በማክበር ላይ እያሉ። \n \n \n \n \n \n \n \nየፎቶ ታሪኮች በሙሉ የዋና ዋና ነጥቦች ታሪኮች ናቸው። ሁልጊዜም ጥረት ማድረግ ያለብዎት የታሪኩን ዋና ዋና ምስላዊ ይዘቶች መልሰው ለማሳየት ነው። ነገር ግን አንዳንድ ታሪክዎች የሚዋቀሩት የታሪኩን አካሄድ ከማስረዳት ይልቅ የታሪኩን ከፍተኛ ቅጽበቶች ወይም በጣም ድራማዊ ገጽታዎች ለማሳያት ነው። ",
"the_photo_essay::markdown_card_0::text": "## በዚህ ክፍለ ትምህርት ውስጥ የሚከተሉትን ነገሮች ይማራሉ፡- \n• ብዙ ምስሎችን በመጠቀም ቢነገሩ ጥሩ ሊሆኑ የሚችሉ ታሪኮችን እንዴት መለየት እንደሚቻል \n• ብዙ ምስሎች በመጠቀም የሚነገሩ ታሪክዎች ለዋቀሩባቸው የሚችሉባቸው የተለያዩ መንገዶች \n• በትረካ ዘይቤ የተጻፈ የፎቶ ጽሁፍ እንዴት እንደሚያዋቀር\n• የፎቶ ተከታታይን እንዴት ማዋቀር እንደሚቻል",
"the_photo_essay::markdown_card_18::text": " \n# ውጤት \n\"ተጠናቀቀ\" የሚለውን ሀሳብ መግለጽ የሚችል ታሪኩን ለመዝጋት ጥቅም ላይ ሊውል የሚችል ፎቶ። ይህም ሱቁን የሚዘጋ ነጋዴ፣ የምርጫ ታዛቢዎች ወደ ቤታቸው ሲሄዱ እነ ጸሀይ ስትጠልቅ ወይም ሆስፒታል ውስጥ ከቀዶ ጥገና በኋላ ተኝቶ ያለ ህጻን የሚያሳይ ፎቶ ሊሆን ይችላል። ",
"the_photo_essay::markdown_card_8::text": "የአንድን ታሪክ ትረካ የሚያዋቅሩበት የተለያዩ የተለመዱ ዘዴዎች አሉ። ጽሁፍዎ ስለ ምን እንሆነ ግልጽ ሃሳብ ይኑርዎት እና ያንን ለማሳየት የሚያስፈልጉዎትን ምስሎች ያንሱ። እያንዳንዱ አዲስ ምስል ታሪክዎት ወደ ፊት የሚያራምድ አዲስ መረጃ የያዘ መሆን አለበት። ከዚህ በታች የተዘረዘሩትን የታሪክ አይነቶች ይህን ለማድረግ ይረዱዎታል። አንዳንድ ጊዜ ፎቶ አንሺዎች ከዚህ በታች የቀረቡትን አማራጮች በማቀናጀት ይጠቀማሉ።",
"the_photo_essay::quiz_card_3::choices[1]::text": "የትረካ ታሪክ ከሆነ የተለያዩ አይነት ምስሎች ይኖሩታል።",
"the_photo_essay::markdown_card_4::text": "## ጥሩ ያልሆነ የፎቶ ጽሁፍ ምሳሌ \nጥቅምት ወር ላይ በጣም አነስተኛ ንግድ በመኖሩ የተነሳ በግብጽ ጊዛ ውስጥ በፒራሚዶች አካባቢ ያሉ ሻጮች ስራ ፈትተው ተቀምጠው። \nከቅርብ ጊዜ ወዲህ ያለው የቀን ጎብኚዎች ብዛት አብዮቱ ከመከሰቱ በፊት በየቀኑ ይመጡ ከነበሩት በግምት 5,000 አካባቢ ጎብኚዎች ጋር ሲነጻጸር በጣም ጥቂት ነው። \n \n \n \n \n \n \n ",
"the_photo_essay::quiz_card_1::choices[1]::text": "ታሪኩ አንድ ነገር እንዴት እንደሚሰራ በማሳየት እንደ የሂደት ቅንጥብ ሊዋቅር ይችላል። ",
"the_photo_essay::quiz_card_1::choices[0]::text": "ታሪኩ በተከሰተበት የጊዜ ቅደም ተከተል ሊዋቀር ይችላል። ",
"the_photo_essay::markdown_card_1::text": "ብዙዎቹ ታሪኮች በአንድ ፎቶግራፍ የታጀቡ ናቸው። ይህ ፎቶግራፍ ክስተቱን በአንድ ምስል ጠቅለል አድርጎ የሚያሳይ መሆን አለበት። \n\n### አርብ ጥቅምት 7 ቀን 2008 ዓ.ም. የኒው ዮርክ ከተማ ፖሊሶች በኮሎምበስ አደባባይ የምድር ባቡሮችን ሲፈትሹ። በትላንትናው እለት የታወጀውን አንድ የተለየ የአሸባሪ ጥቃት ስጋት ተከትሎ በከተማው የህዝብ መጓጓዣ ስርዓት ላይ የሚደረገው የደህንነት ቁጥጥር ጨምሯል። (AP ፎቶ /ጆን ስሞክ)\n",
"the_photo_essay::markdown_card_16::text": " \n# ገጸ ባህሪ \nይህ ለታሪኩ አስፈላጊ በሆነ አግባብ ውስጥ ያለ ከቅርበት የተነሳ ጉርድ ፎቶ ወይም አካባቢያዊ ፖርትሬት ሊሆን ይችላል። የፎቶ ጸሁፎች የሚገነቡት በገጸ ባህሪዎች ዙሪያ ነው። ገጸ ባህሪውን ከተመልካቹ ጋር የሚያስተዋውቅ ጥሩ ፖርትሬት ፎቶ ሊኖርዎት ይገባል። ሁልጊዜም የተለያዩ ፖርትሬት ፎቶዎችን እና አንዳንድ ሳይዘጋጁ የተነሶ ፎቶዎችን ያንሶ። ይህም ማለት አንዳንድ ሰዎችን ተፈጥሮአዊ ሆነው እውነተኛ ምስሎችን ማንሳት እና አንዳንዶቹን ደግሞ ተስተካክለው ማንሳት አለብዎት ማለት ነው።",
"the_photo_essay::quiz_card_3::choices[3]::text": "ሁሉም መልስ ነው። ",
"the_photo_essay::markdown_card_6::text": "## የትረካ ታሪኮች \nለባኩ ቲብሊሲ ሴያን ለተዘረጋው የነዳጅ መስመር 10 ሜትር ርዝመት ያላቸው ቧንቧዎች በጆርጂያ ሪፐብሊክ ተመርተው የቧንቧ መስመሩ የሚያልፍበት መንገድ ላይ ለመገጣጠም ሲጓጓዙ። \n \n \n \n \n \n \nየትረካ ታሪኮችን በሚያቅዱበት ጊዜ የትረካ ቅስት መፍጠር አለብዎት። ይህም ገጸ ባህሪ፣ ድርጊት፣ ውጤት፣ ቦታ እና ፊርማን ያካትታል። ስለ ማእከላዊ ጥያቄ፣ ጡዘት ውና እልባት ያስቡ። ስለ መንስኤ እና ውጤት ያስቡ። ተንሸራታች የምስል ትእይንትዎ የጽሁፍ ታሪኮች ታሪክን በቃል እንደሚናገሩት ሁሉ ምስላዊ በሆነ መንገድ በሚገባ መንገር አለበት። ",
"the_photo_essay::quiz_card_2::question": "እውነት ወይስ ሀሰት፦ የትረካ ታሪክ ብዝሃነት ይፈልጋል። በሌላ ዝኩል ተከታታይ ደግሞ ቅንብሩ ከምስል ወደ ምስል ተመሳሳይ ሲሆን የተሻለ ይሆናል። ",
"the_photo_essay::markdown_card_15::text": " \n# ከቅርብ ርቀት \nዝርዝር ፎቶ የታሪክዎን አንድ የተለየ ይዘት ያሳያል። የቅርብ እርቀት ፎቶዎች አንዳንዴ ዝርዝር ፎቶ በመባል የሚጠሩ ሲሆን ለተመልካቹ ብዙ መረጃ ባይሰጡም ታሪኩን ድራማዊ በሆነ መንገድ ለማቅረብ ግን ትልቅ ጥቅም አላቸው።\nሁልጊዜም በርካታ የቅርብ እርቀት ፎቶዎችን ያስሱ።",
"the_photo_essay::quiz_card_1::choices[3]::text": "ሁሉም መልስ ነው። ",
"the_photo_essay::markdown_card_10::text": "## ሂደት\nጆርጅ ታነር ላለፉትን 30 አመታት ሲያደርግ እንደኖረው ነሀሴ 27 ቀን 2003 ዓ.ም. ፍላት ቡሽ ኒው ዮርክ በሚገኘው መደብሩ ውስጥ ልብሶችን ሲጠግን እና ሱፎችን ሲሰራ። \n \n \n \n \n \n \nየሂደት ፎቶ ጽሁፍ ከመጀመሪው እስከ መጨረሻው አንድ ነገር እንዴት እንደሚሰራ ያሳያል። ለምሳሌ አንድ ቅርጽ እንዴት እንደሚሰራ፣ ምርጫ እንዴት እንደሚከናወን ወይም በህግ ቅጥጥር ስር ያለን ሰው የፍርድ ቤት ሂደት ጭምር ተከታትለው መዘገብ ይችላሉ።",
"the_photo_essay::quiz_card_1::choices[2]::text": "ታሪኩ እጅግ በጣም አስፈላጊ የሆኑ የርእሰ ጉዳዩን ይዘቶች የሚያሳይ ተደርጎ እንደ የዋና ዋና ነጥቦች ስራ ሊዋቀር ይችላል። ",
"the_photo_essay::quiz_card_2::choices[1]::text": "ሐሰት",
"the_photo_essay::markdown_card_19::text": "የተንሸራታች የምስል ትይንቱ የመጀመሪያ ጥቂት ምስሎች በጣም አስፈላጊ ሲሆኑ አብዛኛውን ጊዜ የሚከተሉትን ቅንብሮች ሊያካትቱ ይገባል፦ \n• ቦታ፦ አብዛኛውን ጊዜ የስፍራውን ስሜት ለማምጣት የሚጠቅም የሰፊ አንግል ምስል። ይህ ታሪኩ የት እየተከናወነ እንዳለ ያሳውቃል። \n• ገጸ ባህሪ፦ የፎቶ ታሪክ በፍጥነት ሰው ሰው መሽተት አለበት። ገጸ ባህሪዎን በጉዞዎ ላይ እንዳለ አንድ ተጓዥ ጓደኛ ማስተዋወቅ አለብዎት። \n• ፊርማ፦ ምስላዊነቱ የሚስብ እና ታሪኩን በአጭሩ የሚያስቀምጥ ገላጭ ፎቶ መጀመሪያ አካባቢ መኖር አለበት። ",
"the_photo_essay::preview_card_0::header": "እንደ ስብስብ አብረው የሚሄዱ ፎቶግራፎችን ለማንሳት የሚጠቅሙ መሰረታዊ መርሆች ምንድን ናቸው?",
"the_photo_essay::markdown_card_3::text": "## የጥሩ ፎቶ ጽሁፍ ምሳሌ \nበኪዊንስ ኒው ዮርክ ከተማ ኢግልስ አካዳሚ ፎር ያንግ ሜን ሚያዚያ 4 ቀን 1998 ዓ.ም ተማሪዎች ትምህርት ሲከታተላሉ። ትምህርት ቤቱ በከተማው ውስጥ ባሉ የህዝብ ትምህርት ቤቶች ስርዓት ውስጥ ያለውን ከፍተኛ ትምህርታቸውን የሚያቋርጡ ተማሪዎች ቁጥር ለመቀነስ አነስተኛ የመማሪያ ክፍሎችን እና ይበልጥ የተለየ ትኩረት ስርዓተ ትምህርትን በመጠቀም ለማዋግት ከሚንቀሳቀሱ በርካታ ትምህርት ቤቶች ውስጥ አንዱ ነው። (ጆን ስሞክስ/ጌትስ ፋውንዴሽን) \n \n \n \n \n \n \n ",
"the_photo_essay::markdown_card_13::text": " \n# የፊርማ ፎቶ \nሙሉውን ርእሰ ጉዳይ በአጭሩ የሚገልጽ እና አስፈላጊ የሆኑ የታሪኩን ይዘቶች የሚያሳይ ፎቶ ነው። የሚታየው አንድ ፎቶ ብቻ ቢሆን ኖሮ የሚታየው ፎቶ ይህ ይሆን ነበር። ",
"the_photo_essay::markdown_card_11::text": "# የጊዜ ቅደም ተከተል \nጥቅምት 14 ቀን 2005 ዓ.ም. መሃመድ አሱል በግብጽ ካይሮ ምሽቱን በአባይ ወንዝ ላይ ጀልባ በመቅዘፍ ሲያሳልፍ። ከባለፈው አመት አቢዎት በኳላ ስራ ተቀዛቅዟል ሲል ይናገራል። (ጆን ስሞክስ/ስሞል ወርድ ኒውስ) \n \n \n \n \n \n\n \nታሪክዎ የእውነትም ይሁን ሃሳባዊ ጊዜን ተከትሎ እንዲያዋቅር ሊያደርጉ ይችላሉ። የፎቶ ታሪክን በጊዜ የማዋቀሪያ የተለመደው መንገድ በ“የቀን ውሎ” የፎቶ ጽሁፍ ስራ ነው።"
} |
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{"poster":"SPG Paharna","date":"2017-05-18T14:24:38.487+0000","title":"Aequilibritas-eSports 5on5 Turnier #3","subforum":"Turniere & Veranstaltungen","up_votes":3,"down_votes":2,"body":"Willkommen Beschwörer!\nAm Sonntag, den 28.05.2017 laden wir, von Aequilibritas eSports, euch zu einem 5v5 Turnier um 14 Uhr ein! Wir bitten euch, das **[Regelwerk](https://docs.google.com/document/d/1mEm1nIbzwk8HRaLtKgmmppbJ3NPpdY3Laz7Cbkjxr-4/edit)** gründlich durchzulesen, damit auch jeder Bescheid weiß, was es zu beachten gilt! Solltet ihr dennoch Fragen haben, dürft ihr natürlich jederzeit nachfragen. Bis Sonntag, den 28.05.2017 um 13:00 Uhr kann sich jedes interessierte Team für das Turnier anmelden.\n\n**Eckdaten:**\n**Turnierstart:** Sonntag, 28.05.2017 um 14 Uhr\n**Anhang: **Wir bitten, dass sich die Leader der Teams um 13:30 Uhr auf unserem Event TS Server einfinden für eventuelle Rückfragen und Klärungen.\n\n* **Check in:** 12:30 - 13:30 Uhr\n* **Modus:** 5 on 5 Summoner´s Rift\n* **Typ:** Customgame Tournamentdraft, Tournamentcodes\n* **Teamgröße:** mindestens 5, maximal 7 (2 Ersatzspieler)\n* **Spielmodus:** online, Single Elimination, Best of 1\n* **max. Turniergröße:** 16 Teams\n* **Turnier findet statt ab:** 8 Teams\n\n**Preise:**\n_**1. Platz:**_ Ryze, Triumphierender Ryze, 4-Siege-EP-Boost\n_**2-8. Platz:**_ 4-Siege-EP-Boost \n\nDas Turnier könnt ihr auch Live auf Twitch verfolgen. Der ehemalige Analyst des ESL-Teams von Aequilibritas eSports Luzid_zeke wird das Turnier casten. Hier geht es zu seinem **[Twitch Kanal](https://www.twitch.tv/luzid_zeke)**. Also schaut rein!\n\n**[Riot Tournament](https://events.euw.leagueoflegends.com/events/248294)** <--Anmeldung nötig für Riot Preise\n**[BATTLEFY](https://battlefy.com/aequilibritas-esports/aequilibritas-esports-5v5-turnier-3/5915eafbe381710334cb9ae6/info?infoTab=details)** <--Anmeldung nötig zur Teilnahme\n**[Aequilibritas eSports Homepage](https://aeq-esports.de/news/)**\n**Event-TS-IP:** ts.aequilibritas-esports.de\n\nBei Fragen oder Problemen könnt ihr uns entweder hier im Forum oder per E-Mail (lukas.peer@aequilibritas-esports.de) erreichen.\n\nWir freuen uns auf ein spannendes Turnier!\n\nMit freundlichen Grüßen,\nEuer AeQ-Eventmanagement","replies":[{"poster":"SPG Paharna","date":"2017-05-28T12:50:14.212+0000","up_votes":1,"down_votes":0,"body":"Unser Turnier ist im vollen gange. Wer interesse hat kann sich das Turnier gerne in unserem Live Stream anschauen. Das Turnier wird vom ehemaligen Analyst des ESL-Teams von Aequilibritas eSports gecastet!\n\nhttps://www.twitch.tv/luzid_zeke\n\nMit freundlichen Grüßen,\nEuer AeQ-Eventmanagement","replies":[]},{"poster":"SPG Paharna","date":"2017-05-23T15:27:20.539+0000","up_votes":1,"down_votes":0,"body":"Hallo Beschwörer,\nnach der behebung einer Fehlerhaften angabe des Registrierungs Zeitraums ist die Registrierung auf der Offiziellen Riot Event seite nun auch möglich. Bitte nutzt den Link im Hauptpost um euch auf der Riot Turnierseite für das Event zu Registrieren. Die Registrierung ist nötig um die Preise von Riot zu erhalten.\n\nWir entschuldigen uns für die Verzögerung der Registrierungsphase und danken für euer verständnis.\n\nMit freundlichen Grüßen,\nEuer AeQ-Eventmanagement","replies":[]}]} |
{"notes": [{"id": "Cb54AMqHQFP", "original": "6Rjx_AiuQz3", "number": 69, "cdate": 1601308016828, "ddate": null, "tcdate": 1601308016828, "tmdate": 1615853589927, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": null, "invitation": "ICLR.cc/2021/Conference/-/Blind_Submission", "content": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "signatures": ["ICLR.cc/2021/Conference"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference"], "details": {"replyCount": 12, "writable": false, "overwriting": [], "revisions": true, "tags": [], "invitation": {"reply": {"readers": {"values-regex": ".*"}, "writers": {"values": ["ICLR.cc/2021/Conference"]}, "signatures": {"values": ["ICLR.cc/2021/Conference"]}, "content": {"authors": {"values": ["Anonymous"]}, "authorids": {"values-regex": ".*"}, "reviewed_version_(pdf)": {"required": false, "description": "Upload a PDF file that ends with .pdf", "value-regex": ".*"}}}, "signatures": ["ICLR.cc/2021/Conference"], "readers": ["everyone"], "writers": ["ICLR.cc/2021/Conference"], "invitees": ["~", "OpenReview.net/Support"], "tcdate": 1601308008205, "tmdate": 1614984599368, "id": "ICLR.cc/2021/Conference/-/Blind_Submission"}}, "tauthor": "OpenReview.net"}, {"id": "OFjHAoyL17", "original": null, "number": 1, "cdate": 1610040439065, "ddate": null, "tcdate": 1610040439065, "tmdate": 1610474039925, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Decision", "content": {"title": "Final Decision", "decision": "Accept (Poster)", "comment": "This paper follows the observations of Renda et al. (2020) that the learning rate in the fine-tuning or retraining phase of neural network pruning is an under-considered component of the pruning process. Renda et al. (2020) argue for a technique that uses the learning rate schedule of the original training regime for fine-tuning. However, their work does not offer a hypothesis or an explanation for why this works.\n\nThis work instead offers more insight into why reusing the original learning rate is productive. Specifically, it shows that using high learning rates is the key component. To demonstrate this, the paper includes a study of using the original step-wise learning from the original training regimen, except accelerated for a given number of fine-tuning epochs. The paper also demonstrates that Cyclic Learning Rate Restarting (CLR) also provides an effective, if not better, learning rate schedule for fine-tuning.\n\nAs noted by the reviewers, the core observations and contributions of this work are modest, but are still a valuable addition to the literature in the pruning community. \n\nHaving said that, there are some confounding issues with CLR. Specifically, that CLR itself may simply be a more effective learning rate schedule for training neural networks, independent of the particular application to fine-tuning (Reviewer 1). The revision includes an additional appendix that dispels some of this concern. However, indeed, the CLR does improve the base network performance for some configurations.\n\nBroadly, the value proposition here is a thorough demonstration of learning rate schedules for fine-tuning with an overall take that comparisons between techniques need be more sensitive to this choice as previous work perhaps has not thoroughly considered alternative learning rates.\n\n"}, "signatures": ["ICLR.cc/2021/Conference/Program_Chairs"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference/Program_Chairs"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "readers": {"values": ["everyone"]}, "writers": {"values": ["ICLR.cc/2021/Conference/Program_Chairs"]}, "signatures": {"values": ["ICLR.cc/2021/Conference/Program_Chairs"]}, "content": {"title": {"value": "Final Decision"}, "decision": {"value-radio": ["Accept (Oral)", "Accept (Spotlight)", "Accept (Poster)", "Reject"]}, "comment": {"value-regex": "[\\S\\s]{0,50000}", "markdown": true}}}, "multiReply": false, "signatures": ["ICLR.cc/2021/Conference"], "readers": ["everyone"], "writers": ["ICLR.cc/2021/Conference"], "invitees": ["ICLR.cc/2021/Conference/Program_Chairs"], "tcdate": 1610040439050, "tmdate": 1610474039909, "id": "ICLR.cc/2021/Conference/Paper69/-/Decision"}}}, {"id": "5ZDmrArjDtK", "original": null, "number": 2, "cdate": 1603845000130, "ddate": null, "tcdate": 1603845000130, "tmdate": 1606779050202, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Review", "content": {"title": "Paper that explores learning rate schedules when re-training after pruning, and shows that re-training learning rate can matter more than pruning saliency metric.", "review": "# Summary\n\nThis paper analyzes the role of learning rate in re-training after pruning, building on previous findings that changing the learning rate schedule of re-training can result in higher accuracy than low-learning-rate fine-tuning. The paper proposes several learning rate schedules to compare, specifically a cyclic learning rate (gradually ramping up to and back down from the maximum learning rate schedule used during the original training phase) and a compressed version of the original learning rate schedule, and shows that these learning rate schedules outperform standard fine-tuning and also learning rate rewinding, showing that the findings of prior work come from using a higher learning rate in general and not any specific schedule. The paper than shows that choice of re-training learning rate schedule can have more impact on final accuracy than choice of saliency metric.\n\n# Strengths\n\nThe paper, fairly conclusively, finds the following novel results:\n- Re-training with a cyclic learning rate outperforms learning rate rewinding, seemingly leading to a new state-of-the-art re-training algorithm\n- Re-training with a scaled learning rate schedule attains similar accuracy to re-training with learning rate rewinding\n- Re-training a network that has already been pruned and trained with some scheme (e.g., Soft Filter Pruning, Taylor expansions) can reach higher accuracy with cyclic learning rate re-training than standard fine-tuning re-training.\n\nLess conclusively, though still with reasonable evidence, the paper finds:\n- The choice of learning rate schedule when re-training can have a higher impact on accuracy than the choice of saliency metric: specifically, at higher sparsities, re-training a randomly pruned netowrk with a cyclic learning rate schedule results in higher accuracy than re-training a magnitude pruned network with fine-tuning at a low learning rate.\n\n# Weaknesses\n\n- The evaluation of the paper focuses heavily on structured pruning. However, structured pruning can be an unreliable testbed for many of these techniques, as shown by [1]. The paper would benefit from discussion of [1] in relation to the structured pruning results -- for example, can similar accuracy be attained by training a randomly initialized pruned network with the same effective learning rate schedule? Without discussion or evaluation of baselines from [1], it's hard to know quite how to interpret the structured pruning results.\n- The findings about the interplay between pruning saliency metrics and re-training schedule (Section 4), while interesting, are only minimally validated. Specifically, it would be interesting to see full curves of accuracies for each of these techniques like the curves in Figure 4 (at least for weight-level pruning) with a plot showing the accuracy of ResNet-56 with \"Random Pruning + Fine-tuning\", \"Magnitude Pruning + Fine-tuning\", \"Random Pruning + CLR\", \"Magnitude Pruning + CLR\" across different sparsities, which would generate a lot more confidence in this result\n- The paper lacks specific hypotheses which are tested and validated/falsified. Specifically -- it's hard to know what conclusion to pull from Sections 3.1 and 3.2 other than that CLR > SLR >= LRW, and it's hard to know what conclusions to draw from Section 3.3.\n- The more conclusive findings of the paper, that a high learning rate is important for optimization of pruned networks and that cyclic learning rates improve on learning rate rewinding, are a relatively incremental contribution\n\n\n# Overall recommendation\n\n5: Weak reject\n\nI would be willing to raise this score if the authors address some of the weaknesses listed above. Specifically, if the authors can demonstrate that the results on MWP in Table 3 consistently generalize to other sparsities, or generate more confidence in the structured pruning findings (e.g., by showing that they result in higher accuracy than the trained-from-scratch structured pruned networks in [1]).\n\n# Other comments and suggestions\n\n- Minor typo in Figure 2 caption: \"LLRW\"\n- HRank in Section 3.3: if the results are not presented and discussed in the main body of the paper, it'd probably be better to move the entire discussion of HRank to the appendix\n- what does \"Params\" in the tables mean? I assume it means sparsity (i.e., percentage of parameters that are pruned away), but this is never made explicitly clear.\n- why is R-FT missing for MWP in Table 3?\n\n# References used in review:\n\n[1] Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, and Trevor Darrell. \"Rethinking the value of network pruning\"\n\n\n# Update post author response:\n\nThanks to the authors for the response. The newly reported results (specifically, those of Appendix E.2) satisfactorily address my concerns about both the generalization of the pruning method v.s. re-training scheme results, both in terms of sparsity levels and unstructured/structured pruning (though the observation of the relationship between R-CLR and FT do not hold quite as strongly for unstructured pruning, they do hold at high enough sparsities to be interesting). I\u2019ve raised my score to a 6 as a result.\n\n", "rating": "6: Marginally above acceptance threshold", "confidence": "5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/AnonReviewer2"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/AnonReviewer2"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 1, "value-regex": ".{0,500}", "description": "Brief summary of your review.", "required": true}, "review": {"order": 2, "value-regex": "[\\S\\s]{1,200000}", "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons (max 200000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq . ***Please remember to file the Code-of-Ethics report. Once you submitted the review, a link to the report will be visible in the bottom right corner of your review.***", "required": true, "markdown": true}, "rating": {"order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"], "required": true}, "confidence": {"order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"], "required": true}}, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "readers": {"description": "Select all user groups that should be able to read this comment.", "values": ["everyone"]}, "nonreaders": {"values": []}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"], "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1607428800000, "duedate": 1606752000000, "multiReply": false, "readers": ["everyone"], "tcdate": 1602538150914, "tmdate": 1606915783507, "super": "ICLR.cc/2021/Conference/-/Official_Review", "signatures": ["OpenReview.net"], "writers": ["ICLR.cc/2021/Conference"], "invitees": ["ICLR.cc/2021/Conference/Paper69/Reviewers", "OpenReview.net/Support"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Review"}}}, {"id": "O1bANpi_hVi", "original": null, "number": 4, "cdate": 1603952359326, "ddate": null, "tcdate": 1603952359326, "tmdate": 1606772709688, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Review", "content": {"title": "Review", "review": "## Summary \nThis work focuses on evaluating different fine-tuning strategies after structured and unstructured pruning. The results show that high learning rate schedules (like cosine schedule) attain best performance in many different setting. With this high learning rate random (structured) pruning seems to work as well as the other pruning criteria. Overall the work has a strong coverage of experiments and the results could be helpful to the community. However, I think the work misses some important baselines and require a bit more work on writing. \n\n## Pros\n- A comprehensive coverage of different pruning algorithms is definitely a plus. Experiments are focusing more on the structured pruning methods, which I am not sure useful given the results of [1] (see cons below). \n\n- Authors seem to have a good knowledge of recent structured pruning methods, which makes the study and the experiments convincing/strong.\n\n## Cons\n- I don't think the following statement is true (at least many of the unstructured pruning methods: \"In most cases, pruning consists of three steps: training..prune..retrain\" The paper starts with this premise and ignores many of the other iterative pruning methods (which prune during training). Many of the best unstructured pruning methods are iterative GMP (https://arxiv.org/abs/1710.01878), DNW (https://arxiv.org/pdf/1906.00586.pdf), STR (https://arxiv.org/abs/2002.03231). \n\n- Only exception to the point above is the Table-1 (SFP); however in that table the authors miss an important baseline which is scaling the original training proportional to the Training+FT like it is done in [1, 2, 3]. This baseline should be added to the table and considered wherever possible. \n\n- \"Recently, Renda et al. (2020) proposed a state-of-the-art technique for retraining pruned networks namely learning rate rewinding\" I don't think this sentence is accurate. It's true authors claim SOTA, but I would argue they miss an important baseline in which the original training schedule of the iterative pruning algorithms are scaled according to the training budget as it is done in [1, 2, 3]. In my experience this method performs better than LRW. Therefore it would be nice to include this baseline whenever possible. \n\n- Does CLR results for l1-pruning exceed Scratch-B results of [1]. If yes, this is very important to mention/highlighy. Otherwise, I like to see a discussion about why we should care about structured pruning methods as the main focus of the work seems to be those. \n\n- What is the difference between PFEC and PFEC-B? And why do authors use this acronym? \"l1-structured\" might be a more appropriate choice. And what are the multipliers in Figure-2 (i.e. 1.12x, 1.45x...)? It would be better to use \"sparsity\". \n\n- \"A well-known practice is fine-tuning, which aims to train the pruned model with a small fixed learning rate.\" and \"More advanced learning rate schedules exist, which we generally refer to as retraining.\" I rather call of them fine-tuning or warm-restart, as all networks start with a pretrained network. This terminology would align better with the previous work. Then you call call constant-lr, lrw, clr, etc...\n\n## Minor Points\n- \"Here we hypothesize that the initial pruned network is a suboptimal solution, staying in a local minima.\" I found this statement a bit vague. Networks are usually not not converged after they are pruned (or even at the end of an ImageNet training). We also don't know whether with long enough training the small learning rate finetuning would get same good results or not. It would be nice to make this statement more precise. Maybe something like \"high learning rate would help find better minima faster.\" \n- \"as `1-norm filters pruning\" filter pruning. Structured pruning is used more often similarly \"weights pruning\" -> unstructured pruning\n\"For simplicity, we always use the largest learning rate of the original training for learning rate restarting...\" I didn't understand this statement. Is this for CLR?\n- \"For CLR and SLR, the learning rate is increased from the smallest learning rate of original training to the largest one according to cosine function\" probably the other way around Learning rate is decayed over time?\n\n- \"For ImageNet, we run each experiment once.\" It would be great to run few more to get more precise results before the final version. \n\n- \"under both setting learning rate restarting approaches consistently...\" -> under both settings lr-restart consistently...\n\n- Is Figure-3 a/b MWP? It would be nice to mention this in the title or caption.\n\n- \"Being that said,\" -> That being said\n\n- \"there are notable differents between\" -> differences\n\n- \"for future works.\" -> for future work\n\n[1] RETHINKING THE VALUE OF NETWORK PRUNING, https://arxiv.org/pdf/1810.05270.pdf\n[2] The State of Sparsity in Deep Neural Networks, https://arxiv.org/abs/1902.09574\n[3] Rigging the Lottery: Making All Tickets Winners, https://arxiv.org/pdf/1911.11134.pdf\n\n## After Rebuttal\n- I thank authors for considering my suggestions. I increase my score to 5. Having a quick look (I am sorry that I didn't have more time) at the new results; most results on structured pruning seem to agree with [1]; with some improvements over baselines when CLR is used when training from scratch. Results on unstructured pruning seems minimal and focuses mostly on one-shot pruning; and furthermore the baseline suggested above (i.e. scaling the entire learning_rate schedule) is not added to the iterative pruning results. Overall, I like the direction of the paper, but I think the motivation should be improved and results should be distilled.", "rating": "5: Marginally below acceptance threshold", "confidence": "4: The reviewer is confident but not absolutely certain that the evaluation is correct"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/AnonReviewer3"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/AnonReviewer3"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 1, "value-regex": ".{0,500}", "description": "Brief summary of your review.", "required": true}, "review": {"order": 2, "value-regex": "[\\S\\s]{1,200000}", "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons (max 200000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq . ***Please remember to file the Code-of-Ethics report. Once you submitted the review, a link to the report will be visible in the bottom right corner of your review.***", "required": true, "markdown": true}, "rating": {"order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"], "required": true}, "confidence": {"order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"], "required": true}}, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "readers": {"description": "Select all user groups that should be able to read this comment.", "values": ["everyone"]}, "nonreaders": {"values": []}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"], "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1607428800000, "duedate": 1606752000000, "multiReply": false, "readers": ["everyone"], "tcdate": 1602538150914, "tmdate": 1606915783507, "super": "ICLR.cc/2021/Conference/-/Official_Review", "signatures": ["OpenReview.net"], "writers": ["ICLR.cc/2021/Conference"], "invitees": ["ICLR.cc/2021/Conference/Paper69/Reviewers", "OpenReview.net/Support"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Review"}}}, {"id": "qxek1HUNtoe", "original": null, "number": 1, "cdate": 1603791447434, "ddate": null, "tcdate": 1603791447434, "tmdate": 1606166255344, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Review", "content": {"title": "initial review", "review": "The paper conducts extensive experiments to understand the reason behind the uncanny effectiveness of learning rate rewinding: the usage of a large learning rate.\n\n### pros\n* The paper, in general, is well-written, and the main message is very clear.\n* The paper identifies the reason behind the success of learning rate rewinding through several aspects: retraining cost, model size, and pruning algorithms. It provides guidelines alternative to fine-tuning for practitioners to obtain compact models with better performance after network pruning.\n* The observations of the random pruning are interesting and are aligned with the prior work [1].\n\n### cons\n1. The paper needs to improve its clarity.\n * It is suggested to include the details for the scores (e.g. 1.12 x in the title) of the subfigures in Fig. 2. Right now it is unclear to me how to calculate the value and why it is meaningful to present the results under these values.\n * Can you justify why it is necessary to include the learning rate warmup scheme for SLR and CLR, and why the paper only uses 10% of the total retraining budget? How much will the different fractions of the warmup epochs impact the retraining performance? An ablation study is required here.\n * The observations for random pruning with learning rate restarting are interesting but more details are required. E.g., it is unclear to me the form of performing the random pruning. Is it layerwise random pruning (same sparsity per layer) or global-wise random pruning?\n2. Potential unfair comparison by using CLR. \n * The paper investigates the impact of different learning rate schedules for the re-training, after pruning on the model pre-trained by the standard stage-wise learning rate schedule. This design choice is sufficient to provide some practical guidelines, but it may also blur the contribution: as CLR is quite different from the other learning rate schemes, it is natural to question if the performance gain is solely due to a better learning rate schedule (but not large learning rate). Can you also provide an ablation study in terms of using CLR for both the training from scratch and re-training, and then compare both the accuracy and the accuracy drop scores?\n * The paper demonstrates the efficacy of CLR in terms of re-training the pruned model on the standard image classification benchmark. However, it is unclear to me if the same observations can be generalized to other CV tasks or even NLP tasks. It is encouraged to include some preliminary results to argue the generalization ability of the provided practical guidelines.\n\n### reference\n1. Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot, NeurIPS 2020.\n\n### post-rebuttal\nThe authors have addressed most of my concerns, thus I will increase my score from 5 to 6.", "rating": "6: Marginally above acceptance threshold", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/AnonReviewer1"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/AnonReviewer1"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 1, "value-regex": ".{0,500}", "description": "Brief summary of your review.", "required": true}, "review": {"order": 2, "value-regex": "[\\S\\s]{1,200000}", "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons (max 200000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq . ***Please remember to file the Code-of-Ethics report. Once you submitted the review, a link to the report will be visible in the bottom right corner of your review.***", "required": true, "markdown": true}, "rating": {"order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"], "required": true}, "confidence": {"order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"], "required": true}}, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "readers": {"description": "Select all user groups that should be able to read this comment.", "values": ["everyone"]}, "nonreaders": {"values": []}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"], "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1607428800000, "duedate": 1606752000000, "multiReply": false, "readers": ["everyone"], "tcdate": 1602538150914, "tmdate": 1606915783507, "super": "ICLR.cc/2021/Conference/-/Official_Review", "signatures": ["OpenReview.net"], "writers": ["ICLR.cc/2021/Conference"], "invitees": ["ICLR.cc/2021/Conference/Paper69/Reviewers", "OpenReview.net/Support"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Review"}}}, {"id": "XDi86Hz0nj5", "original": null, "number": 6, "cdate": 1605782566519, "ddate": null, "tcdate": 1605782566519, "tmdate": 1606149704263, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment", "content": {"title": "Revision update and response to common questions", "comment": "We are grateful to the reviewers for providing constructive feedback. All reviewers agreed that our experiments are comprehensive, and \"the results could be helpful to the community\" (Reviewer 3), having \"practical value in practice of network compression, and the consistent, somewhat surprising observation raises interesting questions.\" (Reviewer 4), being \"fairly conclusively\" with novel results (Reviewer 2), and \"the observations of the random pruning are interesting and are aligned with the prior work\" (Reviewer 1). The reviewers also raised several issues that we have attempted to consider and address. We have already revised the paper accordingly. Please find our responses below. \n\n\n\n### Revision Summary\n- We added a new Section 3.4 to include comparison between CLR and the requested baseline (i.e. scaling scratch training) as suggested by Reviewer 2 and 3. Some results in Section 3.3 is shorten and shifted to Appendix.\n- We added Section 4.1 to validate the finding of \"the importance of retraining\" by providing evidence that PFEC+CLR (*without hyperparameter tuning*) can very well surpass other complex pruning algorithms with the *same* retraining budgets and compression ratio (while the architectures are **not** necessarily the same). Specifically, we compare PFEC+CLR with Taylor Pruning [1], GAL [2], HRankPlus (extension of HRank[3]) in Section 4.1 and Discrimination-aware Channel Pruning [4], Provable Filters Pruning [5] in Appendix D.2.\n- In Section 4.2., we updated the comparison of random pruning with more methods, i.e., we added Taylor Pruning on ImageNet and HRankPlus (an extension of HRank which is more efficient and effective) on CIFAR-10. See Table 5.\n- We improved the clarity of the writing based on the suggestion from the reviewers. The revised text is highlighted in blue.\n\n### Common questions\n- **Extra baselines**: Reviewer 2 and 3 suggested that comparison to the baseline by Liu et al. [6] is necessary. We added two new baselines, Scratch-B and Scratch-E that randomly initialize and train a pruned network with a fair budget compared to other methods, to a new Section 3.4 accordingly. In our experiments, it can be seen that Scratch-B and Scratch-E outperforms fine-tuning, which aligns to the result by Liu et al. [6]. More importantly, CLR has similar performance to such baselines on CIFAR, and outperforms these baselines on ImageNet. Our result demonstrates an example that structured pruning can be effective and worth more future investigations. \n- **Generalization to NLP tasks**: In principle, our findings should generalize to NLP tasks, but running the empirical studies and analysis in this domain deserves a separate future work.\n\n**Reference**\n\n [1] Importance Estimation for Neural Network Pruning, CVPR 2019.\n\n [2] Towards Efficient Model Compression via Learned Global Ranking, CVPR 2020.\n\n [3] HRank: Filter Pruning using High-Rank Feature Map, CVPR 2020.\n\n [4] Discrimination-aware Channel Pruning for Deep Neural Networks, NeurIPS 2018.\n\n [5] Provable Filter Pruning for Efficient Neural Networks, ICLR 2020.\n\n [6] Rethinking the Value of Network Pruning, ICLR 2019.\n\n\n"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Authors"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 0, "value-regex": ".{1,500}", "description": "Brief summary of your comment.", "required": true}, "comment": {"order": 1, "value-regex": "[\\S\\s]{1,5000}", "description": "Your comment or reply (max 5000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq", "required": true, "markdown": true}}, "forum": "Cb54AMqHQFP", "readers": {"description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response", "values-dropdown": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"], "default": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"]}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"]}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+|ICLR.cc/2021/Conference/Paper69/Authors|ICLR.cc/2021/Conference/Paper69/Area_Chair[0-9]+|ICLR.cc/2021/Conference/Program_Chairs", "description": "How your identity will be displayed."}}, "expdate": 1610649480000, "final": [], "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Area_Chairs", "ICLR.cc/2021/Conference/Program_Chairs", "OpenReview.net/Support"], "noninvitees": [], "tcdate": 1601923874852, "tmdate": 1610649509835, "super": "ICLR.cc/2021/Conference/-/Comment", "signatures": ["ICLR.cc/2021/Conference"], "writers": ["ICLR.cc/2021/Conference"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment"}}}, {"id": "kHNf8SEsXBp", "original": null, "number": 8, "cdate": 1606128400762, "ddate": null, "tcdate": 1606128400762, "tmdate": 1606133107137, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "Y-d-tiKkKqV", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment", "content": {"title": "Added more experiments for ablation study", "comment": "Thanks for your response. We have amended the paper to address your concern as below:\n\n**Which table/figure are you referring to, in terms of \"In the paper, we had an experiment that we compare CLR to SLR.\"?**: Through our extensive experiments with both CLR, SLR, Fine-tuning (as presented in Figure 2,3,4) we found that the large learning rate exceeds the performance of fine-tuning especially with high compression ratio and higher retraining budgets.\n\n**Do you have any results comparing (1) CLR (training from scratch) and (2) CLR (re-training after the pruning on the model from (1))? A pointer would be very helpful.** Thanks for your interesting suggestion, we have added Section G of the Appendix of the revised paper to address your concern. Specifically, we observed that CLR and SLR also outperform fine-tuning regardless of the learning rate schedule of baseline models.\n\nWe also added some experiments in Section C of the Appendix to demonstrate the effectiveness of CLR for Taylor Pruning with other compression ratios.\n\nThank you.\n\n"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Authors"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 0, "value-regex": ".{1,500}", "description": "Brief summary of your comment.", "required": true}, "comment": {"order": 1, "value-regex": "[\\S\\s]{1,5000}", "description": "Your comment or reply (max 5000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq", "required": true, "markdown": true}}, "forum": "Cb54AMqHQFP", "readers": {"description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response", "values-dropdown": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"], "default": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"]}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"]}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+|ICLR.cc/2021/Conference/Paper69/Authors|ICLR.cc/2021/Conference/Paper69/Area_Chair[0-9]+|ICLR.cc/2021/Conference/Program_Chairs", "description": "How your identity will be displayed."}}, "expdate": 1610649480000, "final": [], "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Area_Chairs", "ICLR.cc/2021/Conference/Program_Chairs", "OpenReview.net/Support"], "noninvitees": [], "tcdate": 1601923874852, "tmdate": 1610649509835, "super": "ICLR.cc/2021/Conference/-/Comment", "signatures": ["ICLR.cc/2021/Conference"], "writers": ["ICLR.cc/2021/Conference"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment"}}}, {"id": "Y-d-tiKkKqV", "original": null, "number": 7, "cdate": 1605868165477, "ddate": null, "tcdate": 1605868165477, "tmdate": 1605868165477, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "-si8-V4TwH_", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment", "content": {"title": "post-rebuttal", "comment": "Thank you for adding more (and extensive) results in the submission.\n\nYour responses have addressed most of my concerns, except the comparison between CLR and SLR:\n1. Which table/figure are you referring to, in terms of \"In the paper, we had an experiment that we compare CLR to SLR.\"?\n2. Do you have any results comparing (1) CLR (training from scratch) and (2) CLR (re-training after the pruning on the model from (1))? A pointer would be very helpful.\n"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/AnonReviewer1"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/AnonReviewer1"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 0, "value-regex": ".{1,500}", "description": "Brief summary of your comment.", "required": true}, "comment": {"order": 1, "value-regex": "[\\S\\s]{1,5000}", "description": "Your comment or reply (max 5000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq", "required": true, "markdown": true}}, "forum": "Cb54AMqHQFP", "readers": {"description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response", "values-dropdown": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"], "default": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"]}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"]}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+|ICLR.cc/2021/Conference/Paper69/Authors|ICLR.cc/2021/Conference/Paper69/Area_Chair[0-9]+|ICLR.cc/2021/Conference/Program_Chairs", "description": "How your identity will be displayed."}}, "expdate": 1610649480000, "final": [], "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Area_Chairs", "ICLR.cc/2021/Conference/Program_Chairs", "OpenReview.net/Support"], "noninvitees": [], "tcdate": 1601923874852, "tmdate": 1610649509835, "super": "ICLR.cc/2021/Conference/-/Comment", "signatures": ["ICLR.cc/2021/Conference"], "writers": ["ICLR.cc/2021/Conference"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment"}}}, {"id": "9y1WVvZt0nO", "original": null, "number": 4, "cdate": 1605782104780, "ddate": null, "tcdate": 1605782104780, "tmdate": 1605807831145, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "820tCAKilvN", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment", "content": {"title": "Thank for your constructing reviews and recommendation. Here are our answers. ", "comment": "**\"Why is large LR helpful in recovering the accuracy of sparse nets?\"**: We hypothesis that the flatness of the loss landscape might change substantially after pruning similar to quantization in [1] which might trap the pruned network in suboptimal solution. Moreover, the pruned network might fail to converge with just small number of retraining epochs, thus, large learning rate helps increase the convergence speed of trimmed networks in these cases. However, a rigorous theoretical explanation is left for future work.\n\n**\"How does weight value rewinding interact with LR?\"**: We further elaborated the interplay of pruning algorithms and learning rate schedule in Section 4.1. We leave the interesting idea of using weight value rewinding as future work. \n\n**\"For Sec. 4, do fine-grain unstructured pruning methods present the same results?\"**: we present the results of (iterative and oneshot) random pruning with MWP in Appendix E.2\n\nReference:\n\n[1] HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface, AAAI 2020."}, "signatures": ["ICLR.cc/2021/Conference/Paper69/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Authors"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 0, "value-regex": ".{1,500}", "description": "Brief summary of your comment.", "required": true}, "comment": {"order": 1, "value-regex": "[\\S\\s]{1,5000}", "description": "Your comment or reply (max 5000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq", "required": true, "markdown": true}}, "forum": "Cb54AMqHQFP", "readers": {"description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response", "values-dropdown": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"], "default": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"]}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"]}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+|ICLR.cc/2021/Conference/Paper69/Authors|ICLR.cc/2021/Conference/Paper69/Area_Chair[0-9]+|ICLR.cc/2021/Conference/Program_Chairs", "description": "How your identity will be displayed."}}, "expdate": 1610649480000, "final": [], "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Area_Chairs", "ICLR.cc/2021/Conference/Program_Chairs", "OpenReview.net/Support"], "noninvitees": [], "tcdate": 1601923874852, "tmdate": 1610649509835, "super": "ICLR.cc/2021/Conference/-/Comment", "signatures": ["ICLR.cc/2021/Conference"], "writers": ["ICLR.cc/2021/Conference"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment"}}}, {"id": "O-CPqHXzzh9", "original": null, "number": 3, "cdate": 1605781824510, "ddate": null, "tcdate": 1605781824510, "tmdate": 1605798432755, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "5ZDmrArjDtK", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment", "content": {"title": "Thank for your detailed and constructing reviews. Here are our answers. ", "comment": "**\"The findings of the interplay between pruning saliency metrics and re-training schedule (Section 4), while interesting, are only minimally validated\"**: We have updated a few more experiments with other pruning algorithms (Taylor Pruning, the extension of HRank namely HRankPlus) in the revised version (Section 4.2). \n\n**\"The paper lacks specific hypotheses which are tested and validated/falsified\"**: we focused on empirical studies in this work that raise awareness of the implementation details for making fair comparisons in network pruning. Studying a hypothesis is left as future work. \n\n**\"The more conclusive findings of the paper, that a high learning rate is important for optimization of pruned networks and that cyclic learning rates improve on learning rate rewinding, are a relatively incremental contribution\"**: we agree with this perspective. The use of a large learning rate and different learning rate rewinding are often overlooked. And there could exist better learning rate schedules than what we used in this paper. \n\n**\"The results on MWP in Table 3\" and \"structured pruning findings\"**: We updated the results as requested. Please see Appendix E.2 and Section 3.4, respectively. \n"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Authors"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 0, "value-regex": ".{1,500}", "description": "Brief summary of your comment.", "required": true}, "comment": {"order": 1, "value-regex": "[\\S\\s]{1,5000}", "description": "Your comment or reply (max 5000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq", "required": true, "markdown": true}}, "forum": "Cb54AMqHQFP", "readers": {"description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response", "values-dropdown": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"], "default": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"]}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"]}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+|ICLR.cc/2021/Conference/Paper69/Authors|ICLR.cc/2021/Conference/Paper69/Area_Chair[0-9]+|ICLR.cc/2021/Conference/Program_Chairs", "description": "How your identity will be displayed."}}, "expdate": 1610649480000, "final": [], "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Area_Chairs", "ICLR.cc/2021/Conference/Program_Chairs", "OpenReview.net/Support"], "noninvitees": [], "tcdate": 1601923874852, "tmdate": 1610649509835, "super": "ICLR.cc/2021/Conference/-/Comment", "signatures": ["ICLR.cc/2021/Conference"], "writers": ["ICLR.cc/2021/Conference"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment"}}}, {"id": "eLXwldsHizU", "original": null, "number": 5, "cdate": 1605782332753, "ddate": null, "tcdate": 1605782332753, "tmdate": 1605783046254, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "O1bANpi_hVi", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment", "content": {"title": "Thank you for your insigntful comments. Here are our answers. ", "comment": "**\"The difference between PFEC and PFEC-B? And why do authors use this acronym? And what are the multipliers in Figure-2 (i.e. 1.12x, 1.45x...)?\"**: 1.12x denotes the compression ratio (#parameter_before_pruning / #parameter_after_pruning) of pruned networks. We use these compression ratios as in the original paper of Li et al., 2016 [1]. To improve the clarity of the paper we have changed this value to sparsity in the revised version according to the request of the reviewer. \n\n**\"For simplicity, we always use the largest learning rate of the original training for learning rate restarting... I didn't understand this statement. Is this for CLR?\"**: Since we restart the learning rate to a (relatively) high value in both CLR and SLR, we employ learning rate warming up for both retraining schemes. Specifically, the learning rate is increased from the smallest value during training to the highest value in the first 10% retraining epochs. We also conducted an ablation study that varies the number of warming up in Appendix F.1. We found that the final performance is not sensitive to this choice.\n\n**\"For ImageNet, we run each experiment once.\"**: We have tried to run ImageNet three times in Section 3.4. Beyond that, we ran experiments on ImageNet with a wide range of pruning algorithms as shown in Section 4. \n\nReference\n\n[1] Pruning Filters for Efficient ConvNets, ICLR 2017.\n"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Authors"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 0, "value-regex": ".{1,500}", "description": "Brief summary of your comment.", "required": true}, "comment": {"order": 1, "value-regex": "[\\S\\s]{1,5000}", "description": "Your comment or reply (max 5000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq", "required": true, "markdown": true}}, "forum": "Cb54AMqHQFP", "readers": {"description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response", "values-dropdown": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"], "default": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"]}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"]}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+|ICLR.cc/2021/Conference/Paper69/Authors|ICLR.cc/2021/Conference/Paper69/Area_Chair[0-9]+|ICLR.cc/2021/Conference/Program_Chairs", "description": "How your identity will be displayed."}}, "expdate": 1610649480000, "final": [], "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Area_Chairs", "ICLR.cc/2021/Conference/Program_Chairs", "OpenReview.net/Support"], "noninvitees": [], "tcdate": 1601923874852, "tmdate": 1610649509835, "super": "ICLR.cc/2021/Conference/-/Comment", "signatures": ["ICLR.cc/2021/Conference"], "writers": ["ICLR.cc/2021/Conference"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment"}}}, {"id": "-si8-V4TwH_", "original": null, "number": 2, "cdate": 1605781680977, "ddate": null, "tcdate": 1605781680977, "tmdate": 1605781680977, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "qxek1HUNtoe", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment", "content": {"title": "Thank for your kind response. Here are our answers. ", "comment": "**\u201cThe details for the scores (e.g. 1.12 x in the title) of the subfigures in Fig. 2\u201d**:\nIn fact, this is the compression ratio of the pruned network (i.e. #param_before_pruning / #param_after_pruning). The reason we report the performance of these is that we adopt the pruning configuration of PFEC.\n\n**\u201cWhy it is necessary to include the learning rate warmup scheme for SLR and CLR, and why the paper only uses 10% of the total retraining budget? How much will the different fractions of the warmup epochs impact the retraining performance? An ablation study is required here.\u201d**:\nAs we just retrain a pretrained network, we adopt the common heuristic of using warming up learning rate. We would say that 10% budget for retraining is an arbitrary choice. Thus, we also do an ablation study with different number of warming up epochs in Appendix F.1. In summary, we do not find any noticeable difference between the performance of these settings and all of them consistently achieve higher accuracy than fine-tuning.\n\n**Random pruning type**: We have clarified this detail in the paper. See Paragraph 2 in Section 4.2.\n\u201cPotential unfair comparison by using CLR\u201d and \u201cCLR and the performance gain\u201d: In the paper, we had an experiment that we compare CLR to SLR. In fact, both CLR and SLR consistently outperform fine-tuning in our experiments. So learning rate schedule matters."}, "signatures": ["ICLR.cc/2021/Conference/Paper69/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Authors"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 0, "value-regex": ".{1,500}", "description": "Brief summary of your comment.", "required": true}, "comment": {"order": 1, "value-regex": "[\\S\\s]{1,5000}", "description": "Your comment or reply (max 5000 characters). Add formatting using Markdown and formulas using LaTeX. For more information see https://openreview.net/faq", "required": true, "markdown": true}}, "forum": "Cb54AMqHQFP", "readers": {"description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response", "values-dropdown": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"], "default": ["ICLR.cc/2021/Conference/Program_Chairs", "ICLR.cc/2021/Conference/Paper69/Area_Chairs"]}, "writers": {"values-copied": ["ICLR.cc/2021/Conference", "{signatures}"]}, "signatures": {"values-regex": "ICLR.cc/2021/Conference/Paper69/AnonReviewer[0-9]+|ICLR.cc/2021/Conference/Paper69/Authors|ICLR.cc/2021/Conference/Paper69/Area_Chair[0-9]+|ICLR.cc/2021/Conference/Program_Chairs", "description": "How your identity will be displayed."}}, "expdate": 1610649480000, "final": [], "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/Area_Chairs", "ICLR.cc/2021/Conference/Program_Chairs", "OpenReview.net/Support"], "noninvitees": [], "tcdate": 1601923874852, "tmdate": 1610649509835, "super": "ICLR.cc/2021/Conference/-/Comment", "signatures": ["ICLR.cc/2021/Conference"], "writers": ["ICLR.cc/2021/Conference"], "id": "ICLR.cc/2021/Conference/Paper69/-/Official_Comment"}}}, {"id": "820tCAKilvN", "original": null, "number": 3, "cdate": 1603934407335, "ddate": null, "tcdate": 1603934407335, "tmdate": 1605024769472, "tddate": null, "forum": "Cb54AMqHQFP", "replyto": "Cb54AMqHQFP", "invitation": "ICLR.cc/2021/Conference/Paper69/-/Official_Review", "content": {"title": "Re-training matters as much as sparsification", "review": "The authors conducted a comprehensive set of experiments on choices of learning rate schedules for re-training/fine-tuning during iterative or after 1-shot pruning of deep convnets. Empirically, they reported that high learning rate (LR) is particularly helpful in recovering generalization performance of the resultant sparse model. The results are purely empirical, well-documented observations from well-designed experiments, which is of practical value in practice of network compression, and the consistent, somewhat surprising observation raises interesting questions. \n\nNotably, this work has brought to attention an important but often overlooked aspect of network pruning: there exist complex interactions between the dynamics of optimization and sparsification, and as a consequence, it is only fair to compare two sparsification techniques when each of them are put in the _best_ optimization setup, respectively. \n\nI have a few comments that I wish the authors would address here, discuss in revision or note for future work:\n\n(1) Why is large LR helpful in recovering the accuracy of sparse nets? There is little information provided in these experimental results to shed light on this question. There has been loss landscape studies of sparse nets during training (such as arxiv:1906.10732, arxiv:1912.05671)--perhaps these could be applied to study the problem. If the high LR's role were to knock the solution out of bad local minima, then does adding noise to gradients or smaller batch size achieve similar effect at the initial phase of re-training? \n\n(2) Given a fixed re-training flop budget, after a pruning operation on the network, both (a) weight value rewinding (as in the Lottery Ticket Hypothesis training), (b) re-training LR schedule (as in this work) might be potentially helpful. How does weight value rewinding interact with LR? \n\n(3) For the random pruning results in Sec. 4, do fine-grain unstructured pruning methods present the same results? \n\n(4) Does the result generalize to transformer models? What about optimizers? Does Adam present a same story as SGDM? \n\nPage 5, line1 of the 3rd paragraph of Sec. 3.2: typo \"reachs\"", "rating": "8: Top 50% of accepted papers, clear accept", "confidence": "5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature"}, "signatures": ["ICLR.cc/2021/Conference/Paper69/AnonReviewer4"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2021/Conference", "ICLR.cc/2021/Conference/Paper69/AnonReviewer4"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Network Pruning That Matters: A Case Study on Retraining Variants", "authorids": ["~Duong_Hoang_Le2", "~Binh-Son_Hua1"], "authors": ["Duong Hoang Le", "Binh-Son Hua"], "keywords": ["Network Pruning"], "abstract": "Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art techniques for retraining pruned networks such as weight rewinding and learning rate rewinding have been shown to outperform the traditional fine-tuning technique in recovering the lost accuracy (Renda et al., 2020), but so far it is unclear what accounts for such performance. In this work, we conduct extensive experiments to verify and analyze the uncanny effectiveness of learning rate rewinding. We find that the reason behind the success of learning rate rewinding is the usage of a large learning rate. Similar phenomenon can be observed in other learning rate schedules that involve large learning rates, e.g., the 1-cycle learning rate schedule (Smith et al., 2019). By leveraging the right learning rate schedule in retraining, we demonstrate a counter-intuitive phenomenon in that randomly pruned networks could even achieve better performance than methodically pruned networks (fine-tuned with the conventional approach). Our results emphasize the cruciality of the learning rate schedule in pruned network retraining - a detail often overlooked by practitioners during the implementation of network pruning. ", "one-sentence_summary": "We study the effective of different retraining mechanisms while doing pruning", "code_of_ethics": "I acknowledge that I and all co-authors of this work have read and commit to adhering to the ICLR Code of Ethics", "paperhash": "le|network_pruning_that_matters_a_case_study_on_retraining_variants", "pdf": "/pdf/cd800d481759bd2472d081c050f8be1d94f91760.pdf", "supplementary_material": "", "venue": "ICLR 2021 Poster", "venueid": "ICLR.cc/2021/Conference", "_bibtex": "@inproceedings{\nle2021network,\ntitle={Network Pruning That Matters: A Case Study on Retraining Variants},\nauthor={Duong Hoang Le and Binh-Son Hua},\nbooktitle={International Conference on Learning Representations},\nyear={2021},\nurl={https://openreview.net/forum?id=Cb54AMqHQFP}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"order": 1, "value-regex": ".{0,500}", "description": "Brief summary of your review.", "required": true}, "review": {"order": 2, "value-regex": "[\\S\\s]{1,200000}", "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons (max 200000 characters). 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{
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{"response": {"status": "ok", "userTier": "developer", "total": 1, "content": {"id": "travel/2002/may/19/observerescapesection3", "type": "article", "sectionId": "travel", "sectionName": "Travel", "webPublicationDate": "2002-05-19T18:20:21Z", "webTitle": "Scotland's so sexy", "webUrl": "https://www.theguardian.com/travel/2002/may/19/observerescapesection3", "apiUrl": "https://content.guardianapis.com/travel/2002/may/19/observerescapesection3", "fields": {"headline": "Scotland's so sexy", "bodyText": "If you're looking for shortbread, bagpipes and haggis you're not going to find them in this week's Escape. Although we're concentrating on Scotland, this is very much a tartan-free zone. Not that there's anything wrong with the cliches, they do a good job used in the right places, but blokes in kilts drinking whisky doesn't do it for many of us. The Americans and continental Europeans, including the new wave of Russians, love all that stuff, but a quick poll around our office found people more interested in scenery, good food and getaway hotels. The decision of the tourist board, VisitScotland, to market itself along the lines of 'if the weather's rubbish you'll have more time to shag in Scotland' caused a bit of an uproar among locals earlier this year. Okay, the board didn't put it that bluntly, but almost. A couple were pictured beside a bed behind a rain-lashed window, with the words: 'The Scottish weather is perfect for a romantic break. You won't go out much.' Sex sells, so why not use it on Scotland? We sought proof of the VisitScotland promise by sending Mariella Frostrup, in the throes of a new romance, up north rather than south for a romantic break with much success (see pages 2 and 3). The Americans - whatever the brave-faced marketing people will tell you - are still not back in Scotland in their normal numbers, as many are still nervous of flying after 11 September. So capitalising on British tourists makes sense, and it means there's a range of special offers to lure you there this summer (see page 4). One of the images Scotland still has to overcome - worse than the drizzle or midges - is the fear among many of us that the food is disgusting, and until recently I was personally stuck in that 20-year-out-of-date time warp. My parents did a driving tour of Scotland last summer, staying at small guest houses up and down the country. 'The food's not a bit like when we used to go on holiday there when you were a kid,' they said on their return, going into hours of details about cheap, freshly cooked fish straight from the harbour and lavish organic bargain breakfasts. 'Give Scotland another chance,' my mum urged. So earlier this year, we did, and ate miles better for less dosh than at home. In Edinburgh we tried the Tower (a bit like London's Oxo Tower restaurant, but costing a third of the price). And breakfast at the Gleneagles hotel was amazing: Loch Fyne kippers in melted butter, ribbons of smoked salmon cut straight off the bone with moist scrambled egg and fresh waffles cooked to order. The hotel was full of Brits taking advantage while Americans stayed at home. Yes, it is a five-star hotel and some would say you would expect great quality there, but you'd do a lot worse in London. You don't have to look far for a good meal in Scotland (as Jane Knight describes on pages 10 and 11), and why head to the South of France when smoked salmon that melts in the mouth and the best beef in Europe calls from the opposite direction, with lots of low-cost airline flights to take you there? On Friday, my colleagues and I are going back to Edinburgh, this time for The Observer and Guardian 2002 travel awards, which we will be presenting to our readers' favourite travel companies. I hope the event helps convince more people it's time to forget the clich\u00e9s and revisit Scotland. ScotAirways flies from London City Airport to Edinburgh (0870 606 0707; www.scotairways.com)from \u00a399 return. Gleneagles (0800 704 705; ww.gleneagles.com) in Auchterarder has special Sunday night stays for \u00a3175 a room, b&b."}, "isHosted": false, "pillarId": "pillar/lifestyle", "pillarName": "Lifestyle"}}} |
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{"response": {"status": "ok", "userTier": "developer", "total": 1, "content": {"id": "media/2005/jun/12/business.theobserver", "type": "article", "sectionId": "media", "sectionName": "Media", "webPublicationDate": "2005-06-11T23:54:13Z", "webTitle": "Media matters: Neil puts FT to rights over wrongs", "webUrl": "https://www.theguardian.com/media/2005/jun/12/business.theobserver", "apiUrl": "https://content.guardianapis.com/media/2005/jun/12/business.theobserver", "fields": {"headline": "Neil puts FT to rights over wrongs", "bodyText": "Our interview last week with FT editor Andrew Gowers prompted a rapid response from Spectator publisher Andrew Neil. Gowers was scathing about Neil's claim that the FT's reputation for accuracy is slipping, criticising his decision to attack the pink 'un in his Evening Standard column last year. Neil had listed three front-page FT stories that he claimed were inaccurate. 'Every single one of them has been proved right', Gowers said last week. 'I would have [written to him] if I felt his views on the media had any relevance, but of course he's no longer a media commentator and that's just as well.' Neil's response is typically ebullient: 'I don't regard myself as a friend or enemy of Gowers and there is much about his paper I admire (and read every day) ... but his cavalier attitude to what I wrote only shows how careless with the facts he is.' But does Neil's analysis stand up to scrutiny? The first FT story he cited was a report that Vodafone had 'edged ahead' in the bid battle for US rival AT&T Wireless. 'It was wrong before the paper hit the news stands,' Neil argues, 'since an American mobile operator Cingular, had already snatched AT&T during the night. So I'm not sure how Gowers can claim he got that one right.' The second, Neil says, claimed that 'Scottish & Newcastle is set to sever its industrial roots by ending a 255-year brewing tradition in Scotland and Newcastle.' Neil says: 'S&N did plan to close its famous Fountain brewery in the Scottish capital ... but it has - and still has - other brewing facilities in the City and elsewhere in Scotland. So it was hardly \"severing\" its Scottish roots. I don't see how Gowers can claim he got that right either.' He concedes that Gowers is 'on slightly stronger ground' on the third story, which reported that Malcolm Glazer was about to make a bid for Manchester United. 'The bid did come ... 15 months later! I repeat: taken together, Gowers' remarks about all the stories being true only underlines how cavalier he is with the facts ... maybe that explains why his paper has developed the same characteristic'. Over to you, Mr Gowers. Downloads on the up in Radio Pod Even the most enthusiastic technophile could not approve of the name, but 'podcasting' could yet become big business. 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"name": "playthis",
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"test": "echo \"Error: no test specified\" && exit 1",
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"version": "1.0.0",
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"lib": "lib",
"test": "test"
},
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"aboutme":{
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"title":"About Me",
"description":"My name is Rodrigo França Martins and I'm a 28 years old Computer Science Engineer from Portugal. I'm currently living in Nice and working at Alten. In my free times I like to play video games, watch movies, listen music, being with my friends and draw. I'm also a big sport's fan, specially a football (soccer) enthusiast.",
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{"initDate":"Nov 2015", "finalDate":"Jul 2017", "company":"União Zoófila", "title":"Volunteer", "image":"imgs/uz.jpeg", "location":"🇵🇹 Lisbon, Portugal", "type":"Volunteering", "icon": "fa-hands-helping" },
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{"initDate":"Jul 2016", "finalDate":"Sep 2017", "company":"LINK", "title":"Summer Internship", "image":"imgs/link.jpg", "location":"🇵🇹 Lisbon, Portugal", "type":"Work", "icon": "fa-building" },
{"initDate":"Oct 2017", "finalDate":"Feb 2020", "company":"VILT", "title":"Junior Consultant", "image":"imgs/vilt.png", "location":"🇪🇸 Madrid, Spain", "type":"Work", "icon": "fa-building" },
{"initDate":"Feb 2020", "finalDate":"Until the moment", "company":"Alten", "title":"Consultant", "image":"imgs/alten.png", "location":"🇫🇷 Nice, France", "type":"Work", "icon": "fa-building" },
{"initDate":" ", "finalDate":" ", "company":"Locked", "title":"", "image":"imgs/lock.svg", "location":"Planet Earth", "icon": "fa-lock" }
],
"slide2Data":{
"data":[
{"name":"HTML","value":1},
{"name":"CSS","value":1},
{"name":"Javascript","value":0.9},
{"name":"Bootstrap","value":0.9},
{"name":"PostgreSQL","value":0.8},
{"name":"Angular","value":0.8},
{"name":"Typescript","value":0.8},
{"name":"Node.js","value":0.8},
{"name":"Ionic 2","value":0.7},
{"name":"SQL","value":0.7},
{"name":"Java","value":0.7},
{"name":"C#","value":0.7},
{"name":"C++","value":0.4},
{"name":"ObjectiveC","value":0.4},
{"name":"Common Lisp","value":0.3},
{"name":"MatLab","value":0.2},
{"name":"WebGL","value":0.2},
{"name":"GLSL","value":0.1}
],
"circles":{
"color":"#595959",
"bkgColor":"#eee",
"width":"6",
"duration":"5000",
"trailWidth":"1"
}
},
"slide3Data":{
"data":[
{"name":"Portuguese 🇵🇹","value":1},
{"name":"English 🇬🇧","value":0.95},
{"name":"Spanish 🇪🇸","value":0.9},
{"name":"French 🇫🇷","value":0.1}
],
"bar":{
"color":"#595959",
"bkgColor":"#eee",
"width":"1",
"duration":"5000",
"trailWidth":"1"
}
}
},
"main":{
"image":"imgs/me.jpg",
"name":"Rodrigo França Martins",
"job":"Consultant at <a class='underline' target='_blanck' href='https://www.alten.fr/'>ALTEN</a>",
"linkedin": "https://www.linkedin.com/in/rodrigo-martins-b4b5bb88/",
"github": "https://github.com/Rodrigo12"
},
"projects":[
{ "title": "Follow My Steps", "image": "imgs/FollowMyStepsAppIcon.png", "tags":"html, css, javascript, nodejs, postgresql, ionic 2, typescript", "description":"Follow My Steps is a system, developed for both web and mobile, to study the best way to present visualizations to users, regarding their past experiences based on lifelogging data collected over an extended period of time, in a personally relevant way. The web component offers a interactable, dynamic and personalized interface, with 9 different visualizations techniques, built to help users with their forgotten memories/experiences. This component is based on time, so it's focused on answering questions like 'What have I done on December 2015'. On the other hand, the mobile component offers an interactable and non-personalizable interface that is based on the user current position. It helps users answering questions similar to 'What has the last time I was on this place?'", "githubLink":"https://github.com/Rodrigo12/Follow-My-Steps" },
{ "title": "Website", "image": "imgs/me.jpg", "tags":"html, css, javascript", "description":"Personal Website was created in order to share my projects and some personal information with people from all around the world. This project was designed to be easily editable, allowing non developers to create their personal website without touching a single line of code. By changing the information on the websiteData.json file, you can create your personal website, effortlessly!", "link":"https://rodrigo12.github.io/Personal-Website/#", "githubLink":"https://github.com/Rodrigo12/Personal-Website" },
{ "title": "World of SINFO", "image": "imgs/wos.png", "tags":"phaser", "description":"World of SINFO was one of the first games that I developed, and the only one using the Phaser framework. This game main characters are the speakers and members of SINFO XXI, a university organization. The player's goal is to overcome several levels without dying. To conclude each level the player need to surpass the corresponding speaker that is shooting objects into the air. The player lives are the number of member of SINFO in that year.", "link":"https://rodrigo12.github.io/World-Of-SINFO/", "githubLink":"https://github.com/Rodrigo12/World-Of-SINFO" },
{ "title": "Kitt", "image": "imgs/kitt.png", "tags":"html, css, javascript", "description":"Kitt was developed for a university course and was my first touch with the HTML, JS and CSS programming languages. Its main goal is to simulate a futuristic car capable of analyzing the car's components, such as the engine, in order to find potential problems. Furthermore, it is capable and the driver level of alcohol.", "link":"https://rodrigo12.github.io/Kitt/", "githubLink":"https://github.com/Rodrigo12/Kitt/" },
{ "title": "Frogger", "image": "imgs/frogger3d.png", "tags":"webgl, c++", "description":"Another project developed for a university course was the Frogger 3D and, as the name suggests, it is based on the 1981 Frogger, developed by SEGA and Konami. The game's goal is to reach the other side of the platform, avoiding several enemies like trucks, cars and the water. The difficulty increments proportionally with the time passed and the player must obtain the maximum number of points before losing the 5 lifes. The mobile version uses the gyroscope, allowing the player to amplify the view by rotating the mobile device.", "link":"https://rodrigo12.github.io/Frogger/", "githubLink":"https://github.com/Rodrigo12/Frogger" },
{ "title": "The Maze", "tags":"Unity, C#", "description":"The maze is a 3D game built with Unity framework. The game's goal is to survive several enemies and enter the final room... However, this room is initially sealed and the player must open it throw several challenges on the maze. <br/> Not yet available" }
]
}
|
{
"title": "Custom decorator for Django projects to validate Twilio requests",
"description": "Confirm incoming requests to your Django views are genuine with this custom decorator.",
"type": "server"
} |
{
"name": "breaktherules.co.za",
"version": "0.0.1",
"description": "An initiative aimed at bridging the gap between Student developer ninjas and innovative software companies. We put them in a room together to meet, greet and make internships happen.",
"devDependencies": {
"grunt": "0.x.x",
"grunt-contrib-clean": "0.5.x",
"grunt-contrib-copy": "0.4.x",
"grunt-contrib-cssmin": "0.6.x",
"grunt-contrib-uglify": "~0.2.x",
"grunt-processhtml": "~0.3.3"
}
}
|
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