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/get-us-call-does-alaska-airlines-allow-you-to | [Get~us~Call] Does Alaska Airlines allow you to cancel a flight? | [Get~us~Call] Does Alaska Airlines allow you to cancel a flight? | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Alaska Airlines allows you to cancel flights, but the cancellation policy depends on the fare type and when the cancellation is made ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. Saver fares, for instance, are generally not refundable or changeable after the initial 24... | {
"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/telefono-como-hablar-con-un-representante-de-1 | Teléfono~¿Cómo hablar con un representante de American en español?AAAa | Teléfono~¿Cómo hablar con un representante de American en español?AAAa | Para asistencia general, incluyendo reservas y cambios, puedes llamar al 1-800-UNITED-1 ( +1-8𝟎𝟖-𝟒𝟕𝟎-𝟕𝟏𝟎𝟕) si hablas inglés. +𝟏→𝟖𝟎𝟖→𝟒𝟕𝟎→𝟕𝟏𝟎𝟕
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Para asistencia internacional, consulta los números específicos para tu pa... | {
"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/how-much-does-it-cost-to-cancel-a-flight-with | FAQs-Guideline-Do you get a refund if you cancel a flight on Expedia? | FAQs-Guideline-Do you get a refund if you cancel a flight on Expedia? | Expedia ' cancellation policy allows you to cancel a flight within 24 hours of Booking for a full refund, as long as the departure is at least 7 days away. Cancellations after 24 hours may incur fees. For more details, contact customer care at ☎️+1-(805)-330-(4056) ⌛ or ☎️+1-(805)-330-(4056) ⌛
Can I change my fligh... | {
"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/lion | Lion | Evolved Sign Momentum | The Lion optimizer is discovered by symbolic program search. It is more memory-efficient than most adaptive optimizers as it only needs to momentum. The update of Lion is produced by the sign function. | null | 2,000 | null | null | https://github.com/google/automl/blob/ecbc7a3b5ab1944d5f39a80a21fd07b7606583f0/lion/lion_pytorch.py | 32 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/faqs-usa-how-do-i-contact-someone-on-a | [[FAQS--USA]] How do I contact someone on a Norwegian cruise? | [[FAQS--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": "0.8% 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 Reconstruction"
}
] |
https://paperswithcode.com/method/just-dial-is-it-cheaper-to-buy-breeze-tickets | {Just<<Dial>>}Is it cheaper to buy Breeze tickets at the airport? | {Just<<Dial>>}Is it cheaper to buy Breeze tickets at the airport? | Yes, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ it can be cheaper to buy Breeze Airways tickets at the airport, specifically on Tuesdays between 11 am and 1 pm. Breeze Airways waives their technology fee, which is typically applied to online bookings ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, when tickets are pu... | {
"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-celebrity-cruise | {FAQS~!SuPpoRT}Can I change my celebrity cruise after booking? | {FAQS~!SuPpoRT}Can I change my celebrity cruise after booking? | Yes, it is generally possible to change a Celebrity cruise after booking +1 855-732-4023 USA or +44-289-708-0062 UK, but it depends on the timing and fare type. Changes are typically allowed up to 60 days before departure, and there may be fees associated with changes +1 855-732-4023 USA or +44-289-708-0062 UK, particu... | {
"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/cascade-corner-pooling | Cascade Corner Pooling | Cascade Corner Pooling | **Cascade Corner Pooling** is a pooling layer for object detection that builds upon the [corner pooling](https://paperswithcode.com/method/corner-pooling) operation. Corners are often outside the objects, which lacks local appearance features. [CornerNet](https://paperswithcode.com/method/cornernet) uses corner pooling... | {
"title": "CenterNet: Keypoint Triplets for Object Detection",
"url": "https://paperswithcode.com/paper/centernet-object-detection-with-keypoint"
} | 2,000 | http://arxiv.org/abs/1904.08189v3 | CenterNet: Keypoint Triplets for Object Detection | https://github.com/Duankaiwen/CenterNet | 46 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Pooling Operations"
}
] |
https://paperswithcode.com/method/full-guide-como-puedo-hablar-con-una-persona | Full@Guide--¿Cómo puedo hablar con una persona de American Airlines? | Full@Guide--¿Cómo puedo hablar con una persona de American Airlines? | Si estás en México, puedes encontrar números de teléfono específicos para México, como +1(808) 470-7107 para atención al cliente en español, según American Airlines.
Además, si te encuentras en México, puedes llamar al +1(808) 470-7107 para asistencia en español. | {
"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/which-flights-are-fully-refundable-faq-guide | 【Understanding Cancellation Policy】What is the Expedia Cancellation Policy? | 【Understanding Cancellation Policy】What is the Expedia Cancellation Policy? | Expedia ' cancellation policy allows you to cancel a flight within 24 hours of Booking for a full refund, as long as the departure is at least 7 days away. Cancellations after 24 hours may incur fees. For more details, contact customer care at ☎️+1-(805)-330-(4056) ⌛ or ☎️+1-(805)-330-(4056) ⌛
Can I change my fligh... | {
"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/fata | FATA | FATA: An Efficient Optimization Method based on Geophysics | An efficient swarm intelligence algorithm is proposed to solve continuous multi-type optimization problems, named the fata morgana algorithm (FATA). By mimicking the process of mirage formation, FATA designs the mirage light filtering principle (MLF) and the light propagation strategy (LPS), respectively. The MLF strat... | null | 2,000 | null | null | https://aliasgharheidari.com/FATA.html | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/way-to-speaksilversea-cruise-refund-by-phone | Way to speaksilversea cruise refund by phone number Chat, and Email.com | Way to speaksilversea cruise refund by phone number Chat, and Email.com | Silversea Cruises provides a toll-free number for customer service and inquiries, which can include questions about refunds: +1-(855)-732-4023
. For post-cruise inquiries, including feedback and Venetian Society matters, you can also contact Silversea Guest Experience at +1-808-900-8011 or +1-(855)-732-4023 if dialing... | {
"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/touch-with-live-person-how-do-i-speak-to | Touch with Live Person"How do I speak to someone at LATAM? | Touch with Live Person"How do I speak to someone at LATAM? | To speak with a live agent at LATAM Airlines, you can call their customer service number: ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. You can also reach them through their website, mobile app, or by using their virtual assistant at the same customer service numbers | {
"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/understandingtm-policy-como-hablo-con-una | 【Understanding™ Policy】¿Cómo hablo con una persona en American Airlines? | 【Understanding™ Policy】¿Cómo hablo con una persona en American Airlines? | ¿Cómo llamar a American en Estados Unidos? Para llamar a American desde Estados Unidos, marca el número de atención al cliente ☎+1→808→470→7107 (OTA). or +1➤808➤470➤7107 Este número brinda soporte en español para reservas, cambios de vuelos y otros servicios. Asegúrate de tener tu número de reserva disponible. El centr... | {
"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-contact-disney-cruise-claim-phone | |Ex~Question~Help|How do I ask a question at Expedia? | |Ex~Question~Help|How do I ask a question at Expedia? | How do I ask a question at Expedia?
You have a few options for asking a question on Expedia: Call Expedia: You can reach them by calling their customer service number: +1-8o5-33o-4056oR +1||805||330||4056 (US) (oTA) Use the Live Chat: You can use the live chat feature on their website to chat with a customer service... | {
"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 | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
},
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/faqs-public-how-do-i-contact-silversea | [FaQs~PubLic]How do I contact Silversea customer service? | [FaQs~PubLic]How do I contact Silversea customer service? | You can contact Silversea customer service in several ways
:
Post-Cruise Inquiries: You can call Silversea Guest Experience at+1-(855)-732-4023 or internationally at +1-(855)-732-4023 Their hours are Monday – Sunday: 8 AM – 6 PM ET. You can also email guestexperience@silversea.com for post-cruise feedback and Venet... | {
"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/normalizing-flows | Normalizing Flows | Normalizing Flows | **Normalizing Flows** are a method for constructing complex distributions by transforming a
probability density through a series of invertible mappings. By repeatedly applying the rule for change of variables, the initial density ‘flows’ through the sequence of invertible mappings. At the end of this sequence we obtai... | {
"title": "Variational Inference with Normalizing Flows",
"url": "https://paperswithcode.com/paper/variational-inference-with-normalizing-flows"
} | 2,000 | http://arxiv.org/abs/1505.05770v6 | Variational Inference with Normalizing Flows | https://github.com/ex4sperans/variational-inference-with-normalizing-flows/blob/922b569f851e02fa74700cd0754fe2ef5c1f3180/flow.py#L9 | 771 | [
{
"area": "General",
"area_id": "general",
"collection": "Distribution Approximation"
}
] |
https://paperswithcode.com/method/instaboost | InstaBoost | InstaBoost | **InstaBoost** is a data augmentation technique for instance segmentation that utilises existing instance mask annotations.
Intuitively in a small neighbor area of $(x_0, y_0, 1, 0)$, the probability map $P(x, y, s, r)$ should be high-valued since images are usually continuous and redundant in pixel level. Based on ... | {
"title": "InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting",
"url": "https://paperswithcode.com/paper/instaboost-boosting-instance-segmentation-via"
} | 2,000 | https://arxiv.org/abs/1908.07801v1 | InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting | https://github.com/GothicAi/InstaBoost | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] |
https://paperswithcode.com/method/faqs-support-how-do-i-ask-a-question-at | [[FAqs-SuPport]]How do I ask a question at Expedia? | [[FAqs-SuPport]]How do I ask a question at Expedia? | How do I ask a question at Expedia? To ask a question at Expedia, you can reach out to their customer service team by calling their helpline at +1 (805) 330-4056 . Their representatives are available to assist with booking issues, refunds, cancellations, or any other inquiries you might have. Alternatively, you can vi... | {
"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-speak-how-do-i-speak-to-someone-at | 【Way_To_Speak】 How do I speak to someone at LATAM? | 【Way_To_Speak】 How do I speak to someone at LATAM? | To speak with a live agent at LATAM Airlines, you can call their customer service number: +1 (801) 855-5905 or +1 (804) 853-9001. You can also reach them through their website, mobile app, or by using their virtual assistant at the same customer service numbers.
Here's a more detailed breakdown:
By 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/pca-whitening | PCA Whitening | PCA Whitening | **PCA Whitening** is a processing step for image based data that makes input less redundant. Adjacent pixel or feature values can be highly correlated, and whitening through the use of [PCA](https://paperswithcode.com/method/pca) reduces this degree of correlation.
Image Source: [Wikipedia](https://en.wikipedia.org/... | null | 2,000 | null | null | null | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Whitening"
}
] |
https://paperswithcode.com/method/instant-qffw-support-does-qatar-have-free-24 | 【Instant QFFW-Support】Does Qatar have free 24 hour cancellation? | 【Instant QFFW-Support】Does Qatar have free 24 hour cancellation? | Does Qatar have a free cancellation policy? Qatar Air, way offers a 24-hour risk-free cancellation policy. You can cancel any flight at + 1-(801)-855-(5905). within 24 hours of booking for a full refund, as long as the flight was booked at least 7 days before departure at + 1-(801)-855-(5905). | {
"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/understanding-faq-s-how-to-get-in-touch-with | Understanding-FaQ'S-How to Get in Touch with a Person at Expedia? | Understanding-FaQ'S-How to Get in Touch with a Person at Expedia? | "31 Ways to Contact How can i speak to someone at Expedia Airlines- A
Step-by-Step Guide
Expedia main customer service number 1 (888) 829-0881 is 1-800-Expedia or 1 (888) 829-0881 [US-Expedia] or 1 (888) 829-0881 [UK-Expedia]
OTA (Live Person), available 24/7. This guide explains how to contact Expedia customer serv... | {
"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-s-how-do-i-ask-a-question-at-alaska | {FAQ^s}How do I ask a question at Alaska Airlines? | {FAQ^s}How do I ask a question at Alaska Airlines? | To ask a question at Alaska Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, you can either use their website's "Help Center" and utilize their AI-powered chat assistant ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, "Ask Alaska", or contact their customer service directly by phone ☎️+1-801-(855)-(5905) or +1-80... | {
"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/travel-guide-how-can-i-talk-to-someone-in | @Travel^Guide~ How can I talk to someone in Qatar? | @Travel^Guide~ How can I talk to someone in Qatar? | To communicate with someone in Qatar,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can use international phone calls or VoIP services like WhatsApp,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Skype, or Zoom. When calling directly,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ dial the country code +974 followed by... | {
"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/what-is-the-3-1-1-rule-on-royal-caribbean | What is the 3 1 1 rule on Royal Caribbean? | What is the 3 1 1 rule on Royal Caribbean? | Royal Caribbean enforces the TSA’s 3‑1‑1 rule for +1‑833‑667‑0020 (US) or +44‑(203)‑970‑0065 (UK) carry‑on liquids during cruise embarkation days—each container must be ≤3.4 oz (100 ml), all fitting in one quart-sized clear zip-top bag, and just one bag per passenger . This rule helps streamline security during boardin... | {
"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/avslowfast | AVSlowFast | Audiovisual SlowFast Network | **Audiovisual SlowFast Network**, or **AVSlowFast**, is an architecture for integrated audiovisual perception. AVSlowFast has Slow and Fast visual pathways that are integrated with a Faster Audio pathway to model vision and sound in a unified representation. Audio and visual features are fused at multiple layers, enabl... | {
"title": "Audiovisual SlowFast Networks for Video Recognition",
"url": "https://paperswithcode.com/paper/audiovisual-slowfast-networks-for-video"
} | 2,000 | https://arxiv.org/abs/2001.08740v2 | Audiovisual SlowFast Networks for Video Recognition | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Modal Methods"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Video Recognition Models"
}
] | |
https://paperswithcode.com/method/10-ways-to-call-can-i-speak-to-someone-about | 10 Ways to Call Can i speak to someone about Royal Caribbean Cruises drink Packages? | 10 Ways to Call Can i speak to someone about Royal Caribbean Cruises drink Packages? | Royal Caribbean Cruises Drink Packages+1-855-732-4023 Complete Guide to Beverage Options, Inclusions, and Pricing
When sailing with Royal Caribbean Cruises , enhancing your vacation with a drink package can be a smart and enjoyable upgrade +1-855-732-4023 whether you enjoy cocktails by the pool, fresh juices at brea... | {
"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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{
"area": "Computer Vision",
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}
] |
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{
"area": "Computer Vision",
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}
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{
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{
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{
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{
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}
] |
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{
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{
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{
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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{
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{
"area": "Computer Vision",
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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",
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{
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{
"area": "Computer Vision",
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{
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{
"area": "General",
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{
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{
"area": "Computer Vision",
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{
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{
"area": "Graphs",
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}
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"title": "FCOS: Fully Convolutional One-Stage Object Detection",
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "One-Stage Object Detection Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/droppath | DropPath | DropPath | Just as [dropout](https://paperswithcode.com/method/dropout) prevents co-adaptation of activations, **DropPath** prevents co-adaptation of parallel paths in networks such as [FractalNets](https://paperswithcode.com/method/fractalnet) by randomly dropping operands of the join layers. This
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"title": "FractalNet: Ultra-Deep Neural Networks without Residuals",
"url": "https://paperswithcode.com/paper/fractalnet-ultra-deep-neural-networks-without"
} | 2,000 | http://arxiv.org/abs/1605.07648v4 | FractalNet: Ultra-Deep Neural Networks without Residuals | https://github.com/osmr/imgclsmob/blob/aa6c6186d2e296bf0687f2c0ab6454f33f5ef4f3/pytorch/pytorchcv/models/fractalnet_cifar.py#L146 | 22 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
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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": "Effective Approaches to Attention-based Neural Machine Translation",
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} | 2,000 | http://arxiv.org/abs/1508.04025v5 | Effective Approaches to Attention-based Neural Machine Translation | 194 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
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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/deformable-roi-pooling | Deformable RoI Pooling | Deformable RoI Pooling | **Deformable RoI Pooling** adds an offset to each bin position in the regular bin partition of the RoI Pooling. Similarly, the offsets are learned from the preceding feature maps and the RoIs, enabling adaptive part localization for objects with different shapes. | {
"title": "Deformable Convolutional Networks",
"url": "https://paperswithcode.com/paper/deformable-convolutional-networks"
} | 2,000 | http://arxiv.org/abs/1703.06211v3 | Deformable Convolutional Networks | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "RoI Feature Extractors"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "Large Batch Optimization"
},
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] | |
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{
"area": "General",
"area_id": "general",
"collection": "Non-Parametric Regression"
},
{
"area": "General",
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"collection": "Non-Parametric Classification"
}
] | |
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"title": "Network Level Spatial Temporal Traffic State Forecasting with Hierarchical Attention LSTM (HierAttnLSTM)",
"url": "https://paperswithcode.com/paper/big-data-application-for-network-level-travel"
} | 2,000 | https://arxiv.org/abs/2201.05760v4 | Network Level Spatial Temporal Traffic State Forecasting with Hierarchical Attention LSTM (HierAttnLSTM) | null | 46 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Feature Pyramid Blocks"
}
] | |
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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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"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 Object Detection Models"
}
] |
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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",
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"collection": "2D Parallel Distributed Methods"
}
] |
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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 Reconstruction"
}
] |
https://paperswithcode.com/method/how-do-i-change-my-booking-on-holland-america | How do I change my booking on Holland America? General Reservations | How do I change my booking on Holland America? General Reservations | Contacting Holland America Line
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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 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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} | 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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} | 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 phase transitions in sparse spiked matrix estimation",
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} | 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"
}
] |
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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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/slanted-triangular-learning-rates | Slanted Triangular Learning Rates | Slanted Triangular Learning Rates | **Slanted Triangular Learning Rates (STLR)** is a learning rate schedule which first linearly increases the learning rate and then linearly decays it, which can be seen in Figure to the right. It is a modification of Triangular Learning Rates, with a short increase and a long decay period. | {
"title": "Universal Language Model Fine-tuning for Text Classification",
"url": "https://paperswithcode.com/paper/universal-language-model-fine-tuning-for-text"
} | 2,000 | http://arxiv.org/abs/1801.06146v5 | Universal Language Model Fine-tuning for Text Classification | null | 40 | [
{
"area": "General",
"area_id": "general",
"collection": "Learning Rate Schedules"
}
] |
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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"
}
] |
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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": "Computer Vision",
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"collection": "3D Representations"
}
] |
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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"
}
] |
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{
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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 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/trades | TraDeS | TraDeS | **TradeS** is an online joint detection and tracking model, coined as TRACK to DEtect and Segment, exploiting tracking clues to assist detection end-to-end. TraDeS infers object tracking offset by a cost volume, which is used to propagate previous object features for improving current object detection and segmentation. | {
"title": "Track to Detect and Segment: An Online Multi-Object Tracker",
"url": "https://paperswithcode.com/paper/track-to-detect-and-segment-an-online-multi"
} | 2,000 | https://arxiv.org/abs/2103.08808v1 | Track to Detect and Segment: An Online Multi-Object Tracker | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Object Tracking Models"
}
] |
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"title": "Crosslingual Generalization through Multitask Finetuning",
"url": "https://paperswithcode.com/paper/crosslingual-generalization-through-multitask"
} | 2,000 | https://arxiv.org/abs/2211.01786v2 | Crosslingual Generalization through Multitask Finetuning | null | 26 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
}
] |
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"title": "CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification",
"url": "https://paperswithcode.com/paper/2103-14899"
} | 2,000 | https://arxiv.org/abs/2103.14899v2 | CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification | https://github.com/lucidrains/vit-pytorch/blob/22da26fa4b7d98c2a936b48c1b1dcf83c404dfb8/vit_pytorch/cross_vit.py#L205 | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] |
https://paperswithcode.com/method/symbolic-deep-learning | Symbolic Deep Learning | Symbolic Deep Learning | This is a general approach to convert a neural network into an analytic equation. The technique works as follows:
1. Encourage sparse latent representations
2. Apply symbolic regression to approximate the transformations between in/latent/out layers
3. Compose the symbolic expressions.
In the [paper](https://ar... | {
"title": "Discovering Symbolic Models from Deep Learning with Inductive Biases",
"url": "https://paperswithcode.com/paper/discovering-symbolic-models-from-deep"
} | 2,000 | https://arxiv.org/abs/2006.11287v2 | Discovering Symbolic Models from Deep Learning with Inductive Biases | https://github.com/MilesCranmer/symbolic_deep_learning | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
},
{
"area": "General",
"area_id": "general",
"collection": "Interpretability"
}
] |
https://paperswithcode.com/method/how-do-i-make-phone-calls-on-a-cruise-quick | How do I make phone calls on a cruise? &Quick Contact | How do I make phone calls on a cruise? &Quick Contact | Royal Caribbean's customer service hours vary depending on the type of assistance you need and who you booked your cruise with +1-855-732-4023 USA or +44-289-708-0062 UK. Here's a breakdown:
Royal Caribbean International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a rece... | {
"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/safran | SAFRAN | SAFRAN - Scalable and fast non-redundant rule application | SAFRAN is a rule application framework which aggregates rules through a scalable clustering algorithm. | {
"title": "Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs",
"url": "https://paperswithcode.com/paper/scalable-and-interpretable-rule-based-link"
} | 2,000 | https://arxiv.org/abs/2012.05750v1 | Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Rule-based systems"
}
] |
https://paperswithcode.com/method/faq-process-r-how-do-i-get-response-at-spirit | [FAQ-Process®]How do I get response at Spirit Airlines? | [FAQ-Process®]How do I get response at Spirit Airlines? | To get a response from Spirit Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can contact them through their website's live chat, call their customer service line, or reach out via social media. For non-urgent matters, email is also an option. | {
"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/what-are-coinspots-trading-fees-understand | What Are CoinSpot’s Trading Fees? – Understand Your Costs Today! 💸 | What Are CoinSpot’s Trading Fees? – Understand Your Costs Today! 💸 | Curious about CoinSpot’s trading fees? 📊 Call +61-3-5929-4808 or +61★3★5929★4808 {AU} for details. CoinSpot’s trading fees vary by order type. Market orders for buying or selling crypto incur a 1% fee, while limit orders and CoinSwap trades cost 0.1%, making them cheaper for strategic traders. For clarity, contact +61... | {
"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/spatially-separable-self-attention | Spatially Separable Self-Attention | Spatially Separable Self-Attention | **Spatially Separable Self-Attention**, or **SSSA**, is an [attention module](https://paperswithcode.com/methods/category/attention-modules) used in the [Twins-SVT](https://paperswithcode.com/method/twins-svt) architecture that aims to reduce the computational complexity of [vision transformers](https://paperswithcode.... | {
"title": "Twins: Revisiting the Design of Spatial Attention in Vision Transformers",
"url": "https://paperswithcode.com/paper/twins-revisiting-spatial-attention-design-in"
} | 2,000 | https://arxiv.org/abs/2104.13840v4 | Twins: Revisiting the Design of Spatial Attention in Vision Transformers | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] | |
https://paperswithcode.com/method/sgd | SGD | Stochastic Gradient Descent | **Stochastic Gradient Descent** is an iterative optimization technique that uses minibatches of data to form an expectation of the gradient, rather than the full gradient using all available data. That is for weights $w$ and a loss function $L$ we have:
$$ w\_{t+1} = w\_{t} - \eta\hat{\nabla}\_{w}{L(w\_{t})} $$
W... | null | 1,951 | null | null | https://github.com/pytorch/pytorch/blob/4e0ac120e9a8b096069c2f892488d630a5c8f358/torch/optim/sgd.py#L97-L112 | 2,021 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/43-ways-to-connect-can-you-change-a-guest-on | 43 Ways to Connect Can you change a guest on Oceania cruise line: A Step by Step Guide | 43 Ways to Connect Can you change a guest on Oceania cruise line: A Step by Step Guide | Oceania Cruises Name Change Policy+1-855-732-4023 Guide to Passenger Name Corrections & Transfers
Planning a voyage with Oceania Cruises is an exciting experience, but if you notice a name error on your booking, contacting +1-855-732-4023 should be your first step to ensure accuracy before sailing. Oceania Cruises u... | {
"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/deeplabv2 | DeepLabv2 | DeepLabv2 | **DeepLabv2** is an architecture for semantic segmentation that build on [DeepLab](https://paperswithcode.com/method/deeplab) with an atrous [spatial pyramid pooling](https://paperswithcode.com/method/spatial-pyramid-pooling) scheme. Here we have parallel dilated convolutions with different rates applied in the input f... | {
"title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs",
"url": "https://paperswithcode.com/paper/deeplab-semantic-image-segmentation-with-deep"
} | 2,000 | http://arxiv.org/abs/1606.00915v2 | DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs | https://github.com/tensorflow/models/tree/master/research/deeplab | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
}
] |
https://paperswithcode.com/method/offers-24-hour-is-expedia-actually-fully | [Offers~24-Hour]Is Expedia actually fully refundable? | [Offers~24-Hour]Is Expedia actually fully refundable? | Is Expedia actually fully refundable?
Yes, Expedia offers a 24-hour cancellation policy +1||888||829||0881, providing a full refund if you cancel within 24 hours of booking. To request a cancellation or get assistance, you can contact customer service at +1-888-(33o)-4056oR+1||888||829||0881 (US).
How to contact ... | {
"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/zero-offload | ZeRO-Offload | ZeRO-Offload | ZeRO-Offload is a sharded data parallel method for distributed training. It exploits both CPU memory and compute for offloading, while offering a clear path towards efficiently scaling on multiple GPUs by working with [ZeRO-powered data parallelism](https://www.paperswithcode.com/method/zero). The symbiosis allows ZeRO... | {
"title": "ZeRO-Offload: Democratizing Billion-Scale Model Training",
"url": "https://paperswithcode.com/paper/zero-offload-democratizing-billion-scale"
} | 2,000 | https://arxiv.org/abs/2101.06840v1 | ZeRO-Offload: Democratizing Billion-Scale Model Training | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Sharded Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/attribute2font | Attribute2Font | Attribute2Font | **Attribute2Font** is a model that automatically creates fonts by synthesizing visually pleasing glyph images according to user-specified attributes and their corresponding values. Specifically, Attribute2Font is trained to perform font style transfer between any two fonts conditioned on their attribute values. After t... | {
"title": "Attribute2Font: Creating Fonts You Want From Attributes",
"url": "https://paperswithcode.com/paper/attribute2font-creating-fonts-you-want-from"
} | 2,000 | https://arxiv.org/abs/2005.07865v1 | Attribute2Font: Creating Fonts You Want From Attributes | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Font Generation Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] |
https://paperswithcode.com/method/fuseformer-block | FuseFormer Block | FuseFormer Block | A **FuseFormer block** is used in the [FuseFormer](https://paperswithcode.com/method/fuseformer) model for video inpainting. It is the same to standard [Transformer](https://paperswithcode.com/method/transformer) block except that feed forward network is replaced with a Fusion Feed Forward Network (F3N). F3N brings no ... | {
"title": "FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting",
"url": "https://paperswithcode.com/paper/fuseformer-fusing-fine-grained-information-in"
} | 2,000 | https://arxiv.org/abs/2109.02974v1 | FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Video Model Blocks"
}
] | |
https://paperswithcode.com/method/book-now-how-do-i-ask-a-question-in-qatar | {Book~NoW} How do I ask a question in Qatar? | {Book~NoW} How do I ask a question in Qatar? | To ask a question in Qatar,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can use standard communication methods like phone calls or online platforms. For specific inquiries, like contacting Qatar Airways,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can call their dedicated customer service line or use their on... | {
"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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