url stringlengths 36 82 | name stringlengths 2 143 | full_name stringlengths 2 143 ⌀ | description stringlengths 0 9.95k | paper dict | introduced_year int64 1.95k 2.02k | source_url stringlengths 32 228 ⌀ | source_title stringlengths 9 170 ⌀ | code_snippet_url stringclasses 464
values | num_papers int64 0 37.4k | collections listlengths 0 6 |
|---|---|---|---|---|---|---|---|---|---|---|
https://paperswithcode.com/method/faqs-process-how-can-i-speak-to-a-disney | [[FAQs~Process]]How can I speak to a Disney Cruise Line representative fast? | [[FAQs~Process]]How can I speak to a Disney Cruise Line representative fast? | To speak to a Disney Cruise Line representative quickly, call their main customer service number at 1-855-732-4023 or 1-808-900-8011. This line is typically open from 8:00 AM to 10:00 PM Eastern Time, seven days a week. For faster service 1-855-732-4023 or 1-808-900-8011, call early in the morning or late in the evenin... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/spp-net | SPP-Net | SPP-Net | **SPP-Net** is a convolutional neural architecture that employs [spatial pyramid pooling](https://paperswithcode.com/method/spatial-pyramid-pooling) to remove the fixed-size constraint of the network. Specifically, we add an SPP layer on top of the last convolutional layer. The SPP layer pools the features and generate... | {
"title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition",
"url": "https://paperswithcode.com/paper/spatial-pyramid-pooling-in-deep-convolutional"
} | 2,000 | http://arxiv.org/abs/1406.4729v4 | Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition | https://github.com/yueruchen/sppnet-pytorch/blob/2aaad15fd4828e78ce0dfa4c9daaba9d27cae9b8/cnn_with_spp.py#L9 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/booking-within-24-hours-faqs-helptm-what-is | booking within 24 hours[FAQs~HELP™] - What is the 24 hour rule for KLM? | [booking within 24 hoursHELP™] - What is the 24 hour rule for KLM? | "KLM's 24-hour rule allows passengers to １ー（８０１）ー８５５ー５９０５ cancel or modify their flight booking within 24 hours
of the initial purchase,to cancel change call klm customer service at １ー（８０１）ー８５５ー５９０５ as long as the flight is booked at least 7 days before departure." | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-support-can-i-change-my-msc-cruise | [Faqs~SuPPorT]Can I change my MSC cruise booking? | [Faqs~SuPPorT]Can I change my MSC cruise booking? | Yes, you can generally change your MSC cruise booking,【+1-855 →(732) → 4023】] but the possibility and associated fees depend on the type of change and how far in advance it's requested. Changes like altering the sailing date, cabin, or itinerary are often possible, especially before the final payment is due. 【+1-855 →(... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/way-to-get-respond-how-to-get-american | 【Way_To_Get_Respond】 How to get American Airlines to respond? | 【Way_To_Get_Respond】 How to get American Airlines to respond? | "To get a response from American Airlines call at +1 (801) 855-5905 or +1 (804) 853-9001, you can use several methods, including calling their customer service, using their online customer relations forms, emailing, or reaching out through social media
.
Here's a breakdown of the various options:
Phone:
... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/contact-usa-team-do-cruises-have-a-24-hour | <<CONTACT-(usa)-Team>> Do cruises have a 24 hour cancellation policy? | <<CONTACT-(usa)-Team>> Do cruises have a 24 hour cancellation policy? | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +44-289-708-0062. You can also manage your booking and potentially find cancellation information on their website.
To cancel a Royal Caribbean cruis... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/superpixelgridmasks | SuperpixelGridMasks | SuperpixelGridCut, SuperpixelGridMean, SuperpixelGridMix | Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika and Mahmoud Melkemi. SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation, arXiv:2204.08458, 2022. https://doi.org/10.48550/arxiv.2204.08458 | null | 2,000 | null | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/call-usa-how-much-do-you-lose-if-you-cancel-a | [[Call-USA]] How much do you lose if you cancel a Royal Caribbean cruise? | [[Call-USA]] How much do you lose if you cancel a Royal Caribbean cruise? | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +44-289-708-0062. You can also manage your booking and potentially find cancellation information on their website.
To cancel a Royal Caribbean cruis... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/how-to-withdraw-money-from-robinhood | {{off-peak days-ASK}}Is there a grace period for Expedia? | {{off-peak days-ASK}}Is there a grace period for Expedia? | Withdrawing money from your Expedia account should be simple—but sometimes, tech delays or process errors can complicate the flow. To withdraw money from Expedia, open the app, tap the person icon, go to “Transfers,” and select “Transfer to Your Bank.” Enter the amount, +1-805-330-4056 choose the linked account, and co... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/air-france-a-f-is-air-france-open-on-24 | [@AIR FRANCE~A'F@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)Is Air France open on 24? | [@AIR FRANCE~A'F@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)Is Air France open on 24? | Yes, Air France provides 24/7 customer support ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. Passengers can contact Air France customer service at any time by calling their dedicated support line ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, using the online chat feature, or reaching out via social media. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/can-you-cancel-a-royal-caribbean-cruise-and-1 | Can you cancel a Royal Caribbean cruise and get your deposit back? @Quick-Contact | Can you cancel a Royal Caribbean cruise and get your deposit back? @Quick-Contact | Yes, you can cancel a Royal Caribbean cruise and potentially get your deposit back +1-855-732-4023, depending on when you cancel. If you cancel within the grace period usually 24 to 48 hours after booking you may receive a full refund +1-855-732-4023. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/faq-support-does-celebrity-have-a-live-chat | {{FAQ~SupPORt}}Does Celebrity have a live chat? | {{FAQ~SupPORt}}Does Celebrity have a live chat? | Days Prior to Cruise Departure and cancellation Charges 1-855-732-4023 USA or +44-289-708-0062 UK: 151 or more days: deposit is refundable except in the case of non- refundable deposit promotions and airfares 1-855-732-4023 USA or +44-289-708-0062 UK. 150-71 days: loss of deposit. 70-46 days: 25% of fare*
To cancel ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/chiamata-gratuita-come-chiamare-gratuitamente | [Chiamata gratuita]Come chiamare gratuitamente Ryanair? | [Chiamata gratuita]Come chiamare gratuitamente Ryanair? | Per contattare Ryanair senza costi aggiuntivi, puoi chiamare il numero dedicato (+39) 0298-847-432. Questo numero (+39) 0298-847-432 è utile per risolvere problematiche come modifiche prenotazioni, richieste bagagli o informazioni sui voli. Chiamando (+39) 0298-847-432 puoi parlare direttamente con un operatore senza c... | {
"title": "YOLO9000: Better, Faster, Stronger",
"url": "https://paperswithcode.com/paper/yolo9000-better-faster-stronger"
} | 2,000 | http://arxiv.org/abs/1612.08242v1 | YOLO9000: Better, Faster, Stronger | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/15-ways-to-speak-holland-america-cruise | 15 Ways to Speak Holland America Cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 15 Ways to Speak Holland America Cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 15 Ways to Speak Holland America Cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide
Holland America Cruise main customer service 【+1-(855)-(732)-4023】number is 1-800-Holland America【+1-(855)-(732)-4023】[US/OTA] (Live Person), where you can reach a live representative 24/7. We understand that trav... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/vgg-19 | VGG-19 | Visual Geometry Group 19 Layer CNN | {
"title": "Very Deep Convolutional Networks for Large-Scale Image Recognition",
"url": "https://paperswithcode.com/paper/very-deep-convolutional-networks-for-large"
} | 2,000 | http://arxiv.org/abs/1409.1556v6 | Very Deep Convolutional Networks for Large-Scale Image Recognition | null | 87 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] | |
https://paperswithcode.com/method/gam | GAM | Generalized additive models | null | 2,000 | null | null | 57 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Medical waveform analysis"
},
{
"area": "General",
"area_id": "general",
"collection": "Non-Parametric Regression"
}
] | ||
https://paperswithcode.com/method/llamada-publica-urgente-como-puedo-hablar-con | {Llamada pública urgente}¿Cómo puedo hablar con un humano en American? | {Llamada pública urgente}¿Cómo puedo hablar con un humano en American? | Para hablar con un humano en American Airlines, puedes llamar al número de atención al cliente +1-(808)-470-7107. También puedes intentar comunicarte a través de su sitio web o la aplicación móvil, donde podrías encontrar opciones para chatear con un agente o solicitar asistencia.
Para hablar con un humano en America... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-24-hour-rule-for-copa-airlines | What is the 24 hour rule for Copa Airlines?Customer Service Number | What is the 24 hour rule for Copa Airlines?Customer Service Number | Copa Airlines1_801_855_5905 like many airlines,1_801_855_5905 follows a 24-hour rule,1_801_855_5905 allowing passengers to cancel a flight booking for a full refund within 24 hours of the initial purchase. This applies to tickets booked directly with Copa Airlines,1_801_855_5905 either online through their website or b... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/communicate-live-agent-how-do-i-communicate | Communicate-Live-Agent||How do I communicate to Expedia? | Communicate-Live-Agent||How do I communicate to Expedia? | "
To speak with a human at Expedia, call +1-8888-29-0881 or +1-805-330-4056, use the live chat feature, reach out on social media, or seek assistance via the mobile app for prompt support +1-8888-29-0881 or +1-805-330-4056.
To talk directly on Expedia (with a live person) by official Expedia number (e.g., *1➣ 805➣3... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/travel-agent-how-can-i-speak-to-a-disney | [[Travel~Agent]] How can I speak to a Disney Cruise Line representative fast? | [[Travel~Agent]] How can I speak to a Disney Cruise Line representative fast? | To speak with a Disney Cruise Line representative directly, you can call +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). For international callers, the number is +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). Calling early in the morning, between 7:00 AM and 9:00 AM EST, on weekdays can potentially reduce wait times.
... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/prcut | PRCut | Probabilistic Ratio Cut | {
"title": "Deep Clustering via Probabilistic Ratio-Cut Optimization",
"url": "https://paperswithcode.com/paper/deep-clustering-via-probabilistic-ratio-cut"
} | 2,000 | https://arxiv.org/abs/2502.03405 | Deep Clustering via Probabilistic Ratio-Cut Optimization | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Clustering"
}
] | |
https://paperswithcode.com/method/way-to-get-answer-how-do-i-get-american | 【Way_To_Get_Answer】 How do I get American Airlines to answer? | 【Way_To_Get_Answer】 How do I get American Airlines to answer? | "To get a response from American Airlines call at +1 (801) 855-5905 or +1 (804) 853-9001, you can use several methods, including calling their customer service, using their online customer relations forms, emailing, or reaching out through social media
.
Here's a breakdown of the various options:
Phone:
... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/apa | APA | Adaptive Pseudo Augmentation | {
"title": "Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data",
"url": "https://paperswithcode.com/paper/deceive-d-adaptive-pseudo-augmentation-for"
} | 2,000 | https://arxiv.org/abs/2111.06849v1 | Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data | null | 25 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/ayuda-tm-como-encontrar-asistencia-de | [Ayuda]™¿Cómo encontrar asistencia de American Airlines? | [Ayuda]™¿Cómo encontrar asistencia de American Airlines? | 𝘓𝘰𝘴 𝘥í𝘢𝘴 𝘮á𝘴 𝘣𝘢𝘳𝘢𝘵𝘰𝘴 𝘱𝘢𝘳𝘢 𝘷𝘰𝘭𝘢𝘳 𝘤𝘰𝘯 𝘈𝘮𝘦𝘳𝘪𝘤𝘢𝘯 𝘈𝘪𝘳𝘭𝘪𝘯𝘦𝘴 𝘴𝘶𝘦𝘭𝘦𝘯 𝘴𝘦𝘳 𝘭𝘰𝘴 𝘮𝘢𝘳𝘵𝘦𝘴 𝘺 𝘮𝘪é𝘳𝘤𝘰𝘭𝘦𝘴 +𝟏-𝟖𝟎𝟖®𝟒𝟕𝟎™𝟕𝟏𝟎𝟕 (𝘔𝘦𝘹𝘪𝘤𝘰) 𝘰 𝘢𝘭 +𝟏-𝟖𝟎𝟖®𝟒𝟕𝟎™𝟕𝟏𝟎𝟕 (𝘌𝘌. 𝘜𝘜) (𝘙𝘦𝘪𝘯𝘰 𝘜𝘯𝘪𝘥𝘰)]. 𝘙𝘦𝘴𝘦𝘳𝘷𝘢𝘳 𝘤𝘰𝘯 𝘢𝘯𝘵𝘪𝘤𝘪𝘱𝘢𝘤𝘪ó�... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-anytimetm-how-much-does-it-cost-to | [FaQs``Anytime™]How much does it cost to cancel an MSC cruise? | [FaQs``Anytime™]How much does it cost to cancel an MSC cruise? | MSC Cruises' cancellation fees vary depending on how close the cancellation is to the departure date and the length of the cruise. Generally, for standard cruises,+1-(855)-732-4023 deposits become non-refundable at a certain point before departure, with increasing penalties for cancellations closer to the sailing date.... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/social-media-how-can-i-communicate-with | (social media.)How can I communicate with Alaska? | (social media.)How can I communicate with Alaska? | To contact Alaska Airlines, you can call their customer service hotline at 1-801-855-5905, or use their website's live chat feature. You can also reach them via email or social media. For urgent issues, calling is usually the fastest method. To communicate with Alaska Airlines, you can utilize their customer service ho... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/compressed-memory | Compressed Memory | Compressed Memory | **Compressed Memory** is a secondary FIFO memory component proposed as part of the [Compressive Transformer](https://paperswithcode.com/method/compressive-transformer) model. The Compressive [Transformer](https://paperswithcode.com/method/transformer) keeps a fine-grained memory of past activations, which are then comp... | {
"title": "Compressive Transformers for Long-Range Sequence Modelling",
"url": "https://paperswithcode.com/paper/compressive-transformers-for-long-range-1"
} | 2,000 | https://arxiv.org/abs/1911.05507v1 | Compressive Transformers for Long-Range Sequence Modelling | https://github.com/lucidrains/compressive-transformer-pytorch/blob/a73d146ee7bc9e47cc6c525f645a5bbb583537ad/compressive_transformer_pytorch/compressive_transformer_pytorch.py#L252 | 5 | [
{
"area": "General",
"area_id": "general",
"collection": "Miscellaneous Components"
}
] |
https://paperswithcode.com/method/faqs-help-what-is-the-phone-number-for-royal-2 | [[FAQs-Help]] What is the phone number for Royal Caribbean group travel? | [[FAQs-Help]] What is the phone number for Royal Caribbean group travel? | The phone number for Royal Caribbean group travel bookings (for 8 or more staterooms) is +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). This number is available Monday-Friday from 9am-7pm and Saturday from 9am-6pm (EST).
If you would like to make a group reservation for more than 4 rooms, please call our customer s... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "Galactica: A Large Language Model for Science",
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{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
}
] | |
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
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} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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{
"area": "General",
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}
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
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} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
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}
] |
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
},
{
"area": "General",
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/grande | GRANDE | Gradient-Based Decision Tree Ensembles | {
"title": "GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data",
"url": "https://paperswithcode.com/paper/grande-gradient-based-decision-tree-ensembles"
} | 2,000 | https://arxiv.org/abs/2309.17130v3 | GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data | null | 5 | [
{
"area": "General",
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}
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation",
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{
"area": "General",
"area_id": "general",
"collection": "Position Embeddings"
},
{
"area": "Natural Language Processing",
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{
"area": "General",
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"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/rome | ROME | Rank-One Model Editing | {
"title": "Locating and Editing Factual Associations in GPT",
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} | 2,000 | https://arxiv.org/abs/2202.05262v5 | Locating and Editing Factual Associations in GPT | null | 23 | [
{
"area": "General",
"area_id": "general",
"collection": "Parameter Norm Penalties"
}
] | |
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"title": "AdaRNN: Adaptive Learning and Forecasting of Time Series",
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{
"area": "Sequential",
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"collection": "Time Series Modules"
}
] | |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "Spherical convolutions on molecular graphs for protein model quality assessment",
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{
"area": "Graphs",
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{
"area": "General",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
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}
] |
https://paperswithcode.com/method/fastsgt | FastSGT | FastSGT | **Fast Schema Guided Tracker**, or **FastSGT**, is a fast and robust [BERT](https://paperswithcode.com/method/bert)-based model for state tracking in goal-oriented dialogue systems. The model employs carry-over mechanisms for transferring the values between slots, enabling switching between services and accepting the v... | {
"title": "A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset",
"url": "https://paperswithcode.com/paper/a-fast-and-robust-bert-based-dialogue-state"
} | 2,000 | https://arxiv.org/abs/2008.12335v1 | A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Dialogue State Trackers"
}
] | |
https://paperswithcode.com/method/stac | STAC | STAC | **STAC** is a semi-supervised framework for visual object detection along with a data augmentation strategy. STAC deploys highly confident pseudo labels of localized objects from an unlabeled image and updates the model by enforcing consistency via strong augmentations. We generate pseudo labels (i.e., bounding boxes a... | {
"title": "A Simple Semi-Supervised Learning Framework for Object Detection",
"url": "https://paperswithcode.com/paper/a-simple-semi-supervised-learning-framework"
} | 2,000 | https://arxiv.org/abs/2005.04757v2 | A Simple Semi-Supervised Learning Framework for Object Detection | null | 8 | [
{
"area": "General",
"area_id": "general",
"collection": "Semi-Supervised Learning Methods"
}
] |
https://paperswithcode.com/method/loyalty-program-details-how-do-you-talk-to | loyalty program details''How do you talk to someone in LATAM? | loyalty program details''How do you talk to someone in LATAM? | How do you talk to someone in LATAM?
To talk to someone at LATAM Airlines, ☎️+1-801-(855)-5905. (US) or +1-804-853-9001. (UK) you can call their customer service hotline, use their online chat feature, reach out via social media, or visit their help center. You can also connect with them at the airport or visit thei... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/get-refund-now-does-american-airlines | "Get Refund Now"Does American Airlines actually refund money? | "Get Refund Now"Does American Airlines actually refund money? | Yes, American Airlines does offer refunds,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ but the specifics depend on the type of ticket, when it was purchased, and the circumstances of the cancellation. Generally,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can get a full refund for tickets canceled within 24 hours... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/cutout | Cutout | Cutout | **Cutout** is an image augmentation and regularization technique that randomly masks out square regions of input during training. and can be used to improve the robustness and overall performance of convolutional neural networks. The main motivation for cutout comes from the problem of object occlusion, which is common... | {
"title": "Improved Regularization of Convolutional Neural Networks with Cutout",
"url": "https://paperswithcode.com/paper/improved-regularization-of-convolutional"
} | 2,000 | http://arxiv.org/abs/1708.04552v2 | Improved Regularization of Convolutional Neural Networks with Cutout | 64 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/probabilistic-anchor-assignment | Probabilistic Anchor Assignment | Probabilistic Anchor Assignment | **Probabilistic anchor assignment (PAA)** adaptively separates a set of anchors into positive and negative samples for a GT box according to the learning status of the model associated with it. To do so we first define a score of a detected bounding box that reflects both the classification and localization qualities. ... | {
"title": "Probabilistic Anchor Assignment with IoU Prediction for Object Detection",
"url": "https://paperswithcode.com/paper/probabilistic-anchor-assignment-with-iou"
} | 2,000 | https://arxiv.org/abs/2007.08103v2 | Probabilistic Anchor Assignment with IoU Prediction for Object Detection | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Anchor Generation Modules"
}
] | |
https://paperswithcode.com/method/rse | RSE | Residual Shuffle-Exchange Network | **Residual Shuffle-Exchange Network** is an efficient alternative to models using an attention mechanism that allows the modelling of long-range dependencies in sequences in O(n log n) time. This model achieved state-of-the-art performance on the MusicNet dataset for music transcription while being able to run inferenc... | {
"title": "Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences",
"url": "https://paperswithcode.com/paper/residual-shuffle-exchange-networks-for-fast"
} | 2,000 | https://arxiv.org/abs/2004.04662v4 | Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences | 5 | [
{
"area": "Audio",
"area_id": "audio",
"collection": "Music Transcription"
}
] | |
https://paperswithcode.com/method/dance | DANCE | Domain Adaptative Neighborhood Clustering via Entropy Optimization | **Domain Adaptive Neighborhood Clustering via Entropy Optimization (DANCE)** is a self-supervised clustering method that harnesses the cluster structure of the target domain using self-supervision. This is done with a neighborhood clustering technique that self-supervises feature learning in the target. At the same tim... | {
"title": "Universal Domain Adaptation through Self Supervision",
"url": "https://paperswithcode.com/paper/universal-domain-adaptation-through-self"
} | 2,000 | https://arxiv.org/abs/2002.07953v3 | Universal Domain Adaptation through Self Supervision | null | 10 | [
{
"area": "General",
"area_id": "general",
"collection": "Domain Adaptation"
}
] |
https://paperswithcode.com/method/faq-s-helpline-how-do-i-contact-ncl-customer | [Faq`s~HelpLine]] How do I contact NCL customer service by phone? | [Faq`s~HelpLine]] How do I contact NCL customer service by phone? | To call someone on a Norwegian cruise+1-855-732-4023, you have a few options: use the ship's phone system to call their stateroom, utilize the Cruise Norwegian app for calls over Wi-Fi, or enable cellular service on your phone once you reach international waters+1-855-732-4023. The ship's phone system is the most strai... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/saint | SAINT | SAINT | **SAINT** is a hybrid deep learning approach to solving tabular data problems. SAINT performs attention over both rows and columns, and it includes an enhanced embedding method. The architecture, pre-training and training pipeline are as follows:
- $L$ layers with 2 attention blocks each, one self-attention block, ... | {
"title": "SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training",
"url": "https://paperswithcode.com/paper/saint-improved-neural-networks-for-tabular"
} | 2,000 | https://arxiv.org/abs/2106.01342v1 | SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training | 9 | [
{
"area": "General",
"area_id": "general",
"collection": "Deep Tabular Learning"
}
] | |
https://paperswithcode.com/method/help-and-support-tm-what-days-are-spirit | {Help and support}™ What days are Expedia flights cheapest? | {Help and support}™ What days are Expedia flights cheapest? | Expedia ☎️+1-805-(330)-(4056) or +1-805-(330)-(4056)✅ flights are often cheapest on Tuesdays, Wednesdays, and Saturdays. These days are generally considered off-peak, meaning there's less demand for flights,☎️+1-805-(330)-(4056) or +1-805-(330)-(4056)✅ which leads to lower prices. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/faq-s-usa-how-do-i-contact-someone-on-a | [[Faq`s--USA]] How do I contact someone on a Norwegian cruise? | [[Faq`s--USA]] How do I contact someone on a Norwegian cruise? | To call someone on a Norwegian cruise+1-855-732-4023, you have a few options: use the ship's phone system to call their stateroom, utilize the Cruise Norwegian app for calls over Wi-Fi, or enable cellular service on your phone once you reach international waters+1-855-732-4023. The ship's phone system is the most strai... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/helpline-process-how-to-book-a-cruise-on | [[HelpLine--Process]] How to book a cruise on Norwegian Cruise Line? | [[HelpLine--Process]] How to book a cruise on Norwegian Cruise Line? | To call someone on a Norwegian cruise+1-855-732-4023, you have a few options: use the ship's phone system to call their stateroom, utilize the Cruise Norwegian app for calls over Wi-Fi, or enable cellular service on your phone once you reach international waters+1-855-732-4023. The ship's phone system is the most strai... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/call-now-how-to-get-delta-senior-discount | ((CALL NOW))How to get Delta Senior discount? | ((CALL NOW))How to get Delta Senior discount? | Delta Air Lines offers senior discounts to passengers aged 65 and older,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ but these discounts are not typically available online. To inquire about and book flights with senior discounts,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you'll need to contact Delta Reservations di... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-what-day-does-delta-drop-prices | ((FAQs_))What day does Delta drop prices? | ((FAQs_))What day does Delta drop prices? | Delta, like other airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ tends to offer lower fares on mid-week days,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ particularly Tuesdays and Wednesdays, with Saturday also sometimes being a good option. These days often see lower demand,☎️+1-801-(855)-(5905) or +1-804-(85... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/shufflenet-v2-block | ShuffleNet V2 Block | ShuffleNet V2 Block | **ShuffleNet V2 Block** is an image model block used in the [ShuffleNet V2](https://paperswithcode.com/method/shufflenet-v2) architecture, where speed is the metric optimized for (instead of indirect ones like FLOPs). It utilizes a simple operator called channel split. At the beginning of each unit, the input of $c$ fe... | {
"title": "ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design",
"url": "https://paperswithcode.com/paper/shufflenet-v2-practical-guidelines-for"
} | 2,000 | http://arxiv.org/abs/1807.11164v1 | ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design | https://github.com/pytorch/vision/blob/227027d5abc8eacb110c93b5b5c2f4ea5dd401d6/torchvision/models/shufflenetv2.py#L36 | 21 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/faqs-help-how-do-i-contact-silversea-customer | [Faqs~HeLp]How do I contact Silversea customer service? | [Faqs~HeLp]How do I contact Silversea customer service? | You can contact Silversea customer service through various channels:
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Post-Cruise Inquiries: For questions after your cruise, dial +1-(855)-732-4023 within the United States, Central & South America, Caribbe... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/official-help-line-can-i-change-the-name-of | {Official Help Line}Can I change the name of passenger in flight ticket Southwest? | {Official Help Line}Can I change the name of passenger in flight ticket Southwest? | Southwest Airlines does not allow complete name changes on flight tickets +1-833-705-0001(US)/+44 (20) 39003980(UK), as tickets are non-transferable. However, you can correct minor name errors, such as spelling mistakes, by contacting Southwest Customer Service at +1-833-705-0001(US)/+44 (20) 39003980(UK). These correc... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/dextr | DEXTR | Deep Extreme Cut | **DEXTR**, or **Deep Extreme Cut**, obtains an object segmentation from its four extreme points: the left-most, right-most, top, and bottom pixels. The annotated extreme points are given as a guiding signal to the input of the network. To this end, we create a [heatmap](https://paperswithcode.com/method/heatmap) with a... | {
"title": "Deep Extreme Cut: From Extreme Points to Object Segmentation",
"url": "https://paperswithcode.com/paper/deep-extreme-cut-from-extreme-points-to"
} | 2,000 | http://arxiv.org/abs/1711.09081v2 | Deep Extreme Cut: From Extreme Points to Object Segmentation | null | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Segmentation Models"
}
] |
https://paperswithcode.com/method/how-do-i-contact-coinspot-customer-service-3 | How Do I Contact CoinSpot Customer Service? — Call +61-3-5929-4808 Now for Fast, Direct Support! | How Do I Contact CoinSpot Customer Service? — Call +61-3-5929-4808 Now for Fast, Direct Support! | Tired of scrolling through help +61-3-5929-4808 articles and waiting days for email replies? When you need real support, in real time, there’s one number that CoinSpot users trust above all — +61-3-5929-4808. Whether you’re locked out of your account, stuck in ID verification, dealing with a failed transaction, or faci... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/scse-1 | scSE | Spatial and Channel SE Blocks | To aggregate global spatial information,
an SE block applies global pooling to the feature map.
However, it ignores pixel-wise spatial information,
which is important in dense prediction tasks.
Therefore, Roy et al. proposed
spatial and channel SE blocks (scSE).
Like BAM, spatial SE blocks are used, complementin... | {
"title": "Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks",
"url": "https://paperswithcode.com/paper/recalibrating-fully-convolutional-networks"
} | 2,000 | http://arxiv.org/abs/1808.08127v1 | Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
https://paperswithcode.com/method/qatar-q-what-is-the-24-hour-rule-for-qatar | [@QATAR~Q@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)What is the 24-hour rule for Qatar Airways? | [@QATAR~Q@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)What is the 24-hour rule for Qatar Airways? | Qatar Airways' 24-hour rule ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, similar to those of other airlines, generally allows passengers to cancel or modify their flight booking without penalty ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ within 24 hours of the initial purchase, provided the flight is scheduled to d... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/hifi-gan | HiFi-GAN | HiFi-GAN | **HiFi-GAN** is a generative adversarial network for speech synthesis. HiFi-GAN consists of one generator and two discriminators: multi-scale and multi-period discriminators. The generator and discriminators are trained adversarially, along with two additional losses for improving training stability and model performan... | {
"title": "HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis",
"url": "https://paperswithcode.com/paper/hifi-gan-generative-adversarial-networks-for"
} | 2,000 | https://arxiv.org/abs/2010.05646v2 | HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis | null | 33 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
},
{
"area": "Audio",
"area_id": "audio",
"collection": "Generative Audio Models"
}
] |
https://paperswithcode.com/method/way-to-get-fast-how-can-i-speak-to-an | 【Way_To_Get_Fast】 How can I speak to an American representative fast? | 【Way_To_Get_Fast】 How can I speak to an American representative fast? | "To speak directly with an American Airlines representative quickly 1 (801) 855-5905, consider these options:
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/live-agent-how-to-get-delta-senior-discount | [{#Live Agent}] How to get Delta Senior discount? | [{#Live Agent}] How to get Delta Senior discount? | To get a senior discount on Delta Airlines call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅, passengers aged 65 and older should contact Delta reservations directly at call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. These discounts are generally not available online. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/electric | Electric | Electric | **Electric** is an energy-based cloze model for representation learning over text. Like BERT, it is a conditional generative model of tokens given their contexts. However, Electric does not use masking or output a full distribution over tokens that could occur in a context. Instead, it assigns a scalar energy score to ... | {
"title": "Pre-Training Transformers as Energy-Based Cloze Models",
"url": "https://paperswithcode.com/paper/pre-training-transformers-as-energy-based-1"
} | 2,000 | https://arxiv.org/abs/2012.08561v1 | Pre-Training Transformers as Energy-Based Cloze Models | 167 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Autoencoding Transformers"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
},
{
"area": "Natural Language Processin... | |
https://paperswithcode.com/method/colorization | Colorization | Colorization | **Colorization** is a self-supervision approach that relies on colorization as the pretext task in order to learn image representations. | {
"title": "Colorful Image Colorization",
"url": "https://paperswithcode.com/paper/colorful-image-colorization"
} | 2,000 | http://arxiv.org/abs/1603.08511v5 | Colorful Image Colorization | 213 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] | |
https://paperswithcode.com/method/connect-now-how-do-i-speak-to-someone-at | CONNECT~~NOW~~How do I speak to someone at directly At American airlines ? | CONNECT~~NOW~~How do I speak to someone at directly At American airlines ? | The most convenient and fastest way to speak to someone at directly At American airlines is by calling their Customer service number at ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. (OTA). Look for the live chat option when you visit the directly At American airlines assistance center website. You will have immediate acces... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/asked-questions-does-air-france-offer-last | {{Asked~Questions}}Does Air France offer last minute upgrades? | {{Asked~Questions}}Does Air France offer last minute upgrades? | Yes, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Air France offers last-minute upgrades for flights, both online and at the airport ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. These upgrades can be purchased using miles or cash, subject to availability ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. After check-in ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-cruise-how-do-i-talk-to-royal-caribbean | {FAQs~!!CruisE!!}How do I talk to Royal Caribbean customer service? | {FAQs~!!CruisE!!}How do I talk to Royal Caribbean customer service? | For changes or cancellations to reservations (especially those with a non-refundable deposit): (855) 732-4023 USA or +44-289-708-0062 UK.
Royal Caribbean's general customer service number: (855) 732-4023 USA or +44-289-708-0062 UK.
For pre-cruise planning assistance or cancelling pre-cruise orders: 1-855-732-4023... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/fraternal-dropout | Fraternal Dropout | Fraternal Dropout | **Fraternal Dropout** is a regularization method for recurrent neural networks that trains two identical copies of an RNN (that share parameters) with different [dropout](https://paperswithcode.com/method/dropout) masks while minimizing the difference between their (pre-[softmax](https://paperswithcode.com/method/softm... | {
"title": "Fraternal Dropout",
"url": "https://paperswithcode.com/paper/fraternal-dropout"
} | 2,000 | http://arxiv.org/abs/1711.00066v4 | Fraternal Dropout | https://github.com/kondiz/fraternal-dropout | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
https://paperswithcode.com/method/way-to-contact-silversea-cruise-claim-by | Way to Contact Silversea cruise claim by phone number | Way to Contact Silversea cruise claim by phone number | The primary phone number for Silversea Cruises in the USA, which can be used for claims or general inquiries, is
+1-(855)-732-4023 .
However, there are a few other options depending on your specific needs:
For Reservations and general inquiries, you can also call: +1-(855)-732-4023
For assistance with... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/65-years-of-age-and-older-what-age-is-senior | [@@65 years of age and older@@]What age is senior discount on Delta? | [@@65 years of age and older@@]What age is senior discount on Delta? | Delta Airlines <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>> offers senior discounts to passengers who are 65 years of age and older. These discounts are not always available online and may require contacting <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>> Delta's reservations line directly <<+1 (801) 855-5905>> or <<+... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-call-is-room-service-24-7-on-royal | {FAQs~!CAll!}Is room service 24/7 on Royal Caribbean? | {FAQs~!CAll!}Is room service 24/7 on Royal Caribbean? | For changes or cancellations to reservations (especially those with a non-refundable deposit): (855) 732-4023 USA or +44-289-708-0062 UK.
Royal Caribbean's general customer service number: (855) 732-4023 USA or +44-289-708-0062 UK.
For pre-cruise planning assistance or cancelling pre-cruise orders: 1-855-732-4023... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/explanation-vs-attention | Explanation vs Attention | Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA | In this paper, we aim to obtain improved attention for a visual question answering (VQA) task. It is challenging to provide supervision for attention. An observation we make is that visual explanations as obtained through class activation mappings (specifically Grad-[CAM](https://paperswithcode.com/method/cam)) that ar... | null | 2,000 | null | null | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Adversarial Training"
}
] |
https://paperswithcode.com/method/non-linear-bounding-function | Non-Linear-Bounding-Function | Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing | {
"title": "Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing",
"url": "https://paperswithcode.com/paper/lower-bound-on-transmission-using-non-linear"
} | 2,000 | https://ieeexplore.ieee.org/document/9018379 | Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Non-Parametric Regression"
}
] | |
https://paperswithcode.com/method/pp-yolov2 | PP-YOLOv2 | PP-YOLOv2 | **PP-YOLOv2** is an object detector that extends upon [PP-YOLO](https://www.paperswithcode.com/method/pp-yolo) with several refinements:
- A [Path Aggregation Network](https://paperswithcode.com/method/pafpn) is included for the FPN to compose bottom-up paths.
- [Mish Activation functions](https://paperswithcode.co... | {
"title": "PP-YOLOv2: A Practical Object Detector",
"url": "https://paperswithcode.com/paper/pp-yolov2-a-practical-object-detector"
} | 2,000 | https://arxiv.org/abs/2104.10419v1 | PP-YOLOv2: A Practical Object Detector | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] | |
https://paperswithcode.com/method/seed-rl | SEED RL | SEED RL | **SEED** (Scalable, Efficient, Deep-RL) is a scalable reinforcement learning agent. It utilizes an architecture that features centralized inference and an optimized communication layer. SEED adopts two state of the art distributed algorithms, [IMPALA](https://paperswithcode.com/method/impala)/[V-trace](https://paperswi... | {
"title": "SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference",
"url": "https://paperswithcode.com/paper/seed-rl-scalable-and-efficient-deep-rl-with-1"
} | 2,000 | https://arxiv.org/abs/1910.06591v2 | SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference | 2 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Distributed Reinforcement Learning"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/168-hours-what-is-the-24-hour-rule-for-copa | (168 hours)What is the 24 hour rule for Copa Airlines? | (168 hours)What is the 24 hour rule for Copa Airlines? | Under Copa Airlines' 24-hour rule, if a customer books a flight at least seven days (168 hours) +1-804-853-9001. (USA) or + 1-(801)-855-(5905).(UK before the scheduled departure time, they are eligible to cancel their ticket within 24 hours +1-804-853-9001. (USA) or + 1-(801)-855-(5905).(UK of purchase for a full refun... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/kaf | KAF | Kernel Activation Function | A **Kernel Activation Function** is a non-parametric activation function defined as a one-dimensional kernel approximator:
$$ f(s) = \sum_{i=1}^D \alpha_i \kappa( s, d_i) $$
where:
1. The dictionary of the kernel elements $d_0, \ldots, d_D$ is fixed by sampling the $x$-axis with a uniform step around 0.
2. Th... | {
"title": "Kafnets: kernel-based non-parametric activation functions for neural networks",
"url": "https://paperswithcode.com/paper/kafnets-kernel-based-non-parametric"
} | 2,000 | http://arxiv.org/abs/1707.04035v2 | Kafnets: kernel-based non-parametric activation functions for neural networks | https://github.com/ispamm/kernel-activation-functions/blob/e525f7e82b54508ac262f82c9557ad66be2732f3/pytorch/kafnets.py#L11 | 9 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/siamese-u-net | Siamese U-Net | Siamese U-Net | Siamese U-Net model with a pre-trained ResNet34 architecture as an encoder for data efficient Change Detection | {
"title": "Deep Active Learning in Remote Sensing for data efficient Change Detection",
"url": "https://paperswithcode.com/paper/deep-active-learning-in-remote-sensing-for"
} | 2,000 | https://arxiv.org/abs/2008.11201v1 | Deep Active Learning in Remote Sensing for data efficient Change Detection | https://github.com/previtus/ChangeDetectionProject/blob/master/demo/_ChangeDetection_prediction_example.ipynb | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/faqs-claim-how-do-i-complain-to-expedia | [[Faqs-Claim]]How do I complain to Expedia? | [[Faqs-Claim]]How do I complain to Expedia? | How do I complain to Expedia?
To file a complaint with Expedia, contact their customer support by calling +1-805-330-4056 EXPEDIA +(1) ➣ (888) ➢ (829) ➤ (0881) or +1-805-330-4056 Provide a clear explanation of your issue and request a resolution. If you are unsatisfied with the outcome, ask to speak with a super... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/contact-anytime-how-do-i-contact-seabourn | [Contact~anytime]How do I contact Seabourn Cruise Line? | [Contact~anytime]How do I contact Seabourn Cruise Line? | Yes, MSC Cruises allows you to transfer a cruise ticket to another person +1-(855)-732-4023, but conditions apply. Name changes must be requested in writing and are usually allowed up to a certain number of days before departure typically no later than 15 days prior +1-(855)-732-4023. A name change fee may apply, and t... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/air-france-a-f-what-is-the-24-hour-rule-for | [@AIR^FRANCE~A'F@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)What is the 24 hour rule for Air France? | [@AIR^FRANCE~A'F@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)What is the 24 hour rule for Air France? | Air France ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, like all airlines operating flights to and from the US, generally ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ adheres to the US Department of Transportation's 24-hour rule. This means that if you book a flight with Air France to or from the US, you can cancel ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/way-to-get-human-how-do-i-get-a-human-at | 【Way_To_Get_Human】 How do I get a human at American Airlines immediately? | 【Way_To_Get_Human】 How do I get a human at American Airlines immediately? | "To speak with a live human representative at American Airlines immediately call 1 (801) 855-5905 or 1 (804) 853-9001, the most effective methods are calling their primary customer service number or using their live chat feature.
1. By phone (fastest for urgent issues)
Call the main customer service hotline ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/nuqsgd | NUQSGD | Nonuniform Quantization for Stochastic Gradient Descent | As the size and complexity of models and datasets grow, so does the need for communication-efficient variants of stochastic gradient descent that can be deployed to perform parallel model training. One popular communication-compression method for data-parallel [SGD](https://paperswithcode.com/method/sgd) is QSGD (Alist... | {
"title": "NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization",
"url": "https://paperswithcode.com/paper/nuqsgd-provably-communication-efficient-data"
} | 2,000 | https://arxiv.org/abs/1908.06077 | NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization | https://github.com/fartashf/nuqsgd | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
}
] |
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