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-support-c-tmhow-do-you-talk-to-someone | [[FAQs-SuPPort©]]™How do you talk to someone in LATAM? | [[FAQs-SuPPort©]]™How do you talk to someone in LATAM? | To talk to someone at LATAM (the airline),📲+1-801-(855)-(5905) or +1-804-(853)-(9001)📲 (UK) you can use their contact center phone number, visit their website, or utilize their WhatsApp service. For general communication,📲+1-801-(855)-(5905) or +1-804-(853)-(9001)📲 (UK) you can say "Hola! ¿Cómo está(s)?" (singular,... | {
"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 | 0 | [
{
"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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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-livline-does-princess-cruise-have-24 | [[FAQs-Livline]] Does Princess cruise have 24 hour room service? | [[FAQs-Livline]] Does Princess cruise have 24 hour room service? | Yes, Princess Cruises offers 24-hour room service for guests in all staterooms (1-855-732-4023). You can order a selection of complimentary items like sandwiches, salads, and desserts at any time of day or night (1-855-732-4023). Hot breakfast items and upgraded options such as pizza or specialty meals may incur a serv... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
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{
"area": "Computer Vision",
"area_id": "computer-vision",
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}
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https://paperswithcode.com/method/comprension-del-telefono-como-hablar-con-un | {Comprensión del teléfono}¿Cómo hablar con un agente en vivo de American para hacer reservas? | {Comprensión del teléfono}¿Cómo hablar con un agente en vivo de American para hacer reservas? | Para hablar con un agente en vivo de American Airlines y hacer reservas, puedes llamar al número de servicio al cliente en español: +1-(808)-470-7107 para Estados Unidos y Canadá, según lo indica American Airlines. También puedes encontrar información y opciones de contacto en su sitio web. | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/vlg-net | VLG-Net | Video Language Graph Matching Network | VLG-Net leverages recent advantages in Graph Neural Networks (GCNs) and leverages a novel multi-modality graph-based fusion method for the task of natural language video grounding. | {
"title": "VLG-Net: Video-Language Graph Matching Network for Video Grounding",
"url": "https://paperswithcode.com/paper/vlg-net-video-language-graph-matching-network"
} | 2,000 | https://arxiv.org/abs/2011.10132v2 | VLG-Net: Video-Language Graph Matching Network for Video Grounding | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Video-Text Retrieval Models"
}
] |
https://paperswithcode.com/method/reservation-how-do-i-call-someone-on-a-disney | [[Reservation]]How do I call someone on a Disney cruise ship? | [[Reservation]]How do I call someone on a Disney cruise ship? | To reach a Disney Cruise Line representative quickly 1-855-732-4023 or 1-808-900-8011, try calling their customer service line early in the morning or using the live chat feature on their website or app. For urgent matters 1-855-732-4023 or 1-808-900-8011, the chat feature may be faster. Castaway Club members may also ... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/immediate-serviec-how-do-i-get-a-human-at | immediate-Serviec//How do I get a human at Expedia immediately? | immediate-Serviec//How do I get a human at Expedia immediately? | To file a complaint with Expedia, start by contacting their customer service 1-805(330)4056 via phone at +1-805(330)4056 or through their website or app
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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 | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-support-r-what-is-the-cheapest-day-to-fly-1 | [FAQ-suPport®] What is the cheapest day to fly on Frontier Airlines? | [FAQ-suPport®] What is the cheapest day to fly on Frontier Airlines? | Based on general travel trends and Frontier's pricing strategies ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, the cheapest days to fly on Frontier Airlines are typically Tuesdays, Wednesdays, and Saturdays. | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/deactivable-skip-connection | Deactivable Skip Connection | Deactivable Skip Connection | A **Deactivable Skip Connection** is a type of skip connection which, instead of concatenating the encoder features
(red) and decoder features (blue), as with [standard skip connections](https://paperswithcode.com/methods/category/skip-connections), it instead fuses the encoder features with part of the decoder featur... | {
"title": "Cross-modal Deep Face Normals with Deactivable Skip Connections",
"url": "https://paperswithcode.com/paper/cross-modal-deep-face-normals-with"
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{
"area": "General",
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"collection": "Skip Connections"
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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 | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/royal-caribbean-customer-service-r-usa | Royal Caribbean Customer Service®️ USA Contact Numbers: The Ultimate Guide | Royal Caribbean Customer Service®️ USA Contact Numbers: The Ultimate Guide | Reaching a live representative at Royal Caribbean® Cruise can make all the difference. You can call {+1 | 855 | (785) | 00 | 41 }☎️🚢 or 1-800-Royal Caribbean® Cruise (US/OTA) to speak directly with an agent—available 24/7. Whether it’s booking issues, cancellations, refunds, or technical problems, this guide walks y... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-to-find-your-cash-app-routing-number | How to Find Your Cash App Routing Number Quickly and Easily? | How to Find Your Cash App Routing Number Quickly and Easily? | Cash App’s routing number is 1-866-347-9201 a nine-digit code used to identify the bank that processes your direct deposits. Most Cash App accounts use either Lincoln Savings Bank or Sutton Bank 1-866-347-9201, depending on your account setup. To find your specific routing number, open Cash App, tap the Banking tab, th... | {
"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/accesibilidad-como-hablar-directamente-con-un | Accesibilidad~¿Cómo hablar directamente con un agente de United? | Accesibilidad~¿Cómo hablar directamente con un agente de United? | 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 Si necesitas asistencia en español, puedes contactar al +1-8𝟎𝟖-𝟒𝟕𝟎-𝟕𝟏𝟎𝟕. Para asistencia internacional, consulta los números específicos para tu país ... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/royal-caribbean-cruises-r-usa-contact-numbers-5 | Royal Caribbean Cruises®️ USA Contact Numbers: A Complete Assistance Guide | Royal Caribbean Cruises®️ USA Contact Numbers: A Complete Assistance Guide | Royal Caribbean Cruises's main customer service support is (+1-855-732-4023)., where you can reach a live representative 24/7. Whether you’re dealing with booking changes (+1-855-732-4023), Cruise cancellations, or have questions regarding refunds or compensation, speaking to a live person ensures prompt resolution. Yo... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/is-coinbase-open-on-24-7-coinbase-24-7 | Is Coinbase Open on 24/7? {CoinBase 24*7 TraDing} | Is Coinbase Open on 24/7? {CoinBase 24*7 TraDing} | Coinbase is open for crypto trading ✓+1-516-(218)-(1455)✮ 24 hours a day, 7 days a
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"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/faqs-guideline-what-is-the-phone-number-for-1 | [[FAQs-Guideline-]]What is the phone number for Royal Caribbean Cruise booking? | [[FAQs-Guideline-]]What is the phone number for Royal Caribbean Cruise booking? | General Customer Service: Call +1-855-732-4023 or 1-808-900-8011.
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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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/seesaw-loss | Seesaw Loss | Seesaw Loss | **Seesaw Loss** is a loss function for long-tailed instance segmentation. It dynamically re-balances the gradients of positive and negative samples on a tail class with two complementary factors: mitigation factor and compensation factor. The mitigation factor reduces punishments to tail categories w.r.t the ratio of c... | {
"title": "Seesaw Loss for Long-Tailed Instance Segmentation",
"url": "https://paperswithcode.com/paper/seesaw-loss-for-long-tailed-instance"
} | 2,000 | https://arxiv.org/abs/2008.10032v4 | Seesaw Loss for Long-Tailed Instance Segmentation | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Loss Functions"
}
] | |
https://paperswithcode.com/method/faqs-date-do-flight-prices-go-down-closer-to | (fAQs*date)Do flight prices go down closer to the date Delta? | (fAQs*date)Do flight prices go down closer to the date Delta? | Generally,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 no, Delta flight prices do not tend to decrease closer to the departure date. In fact,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 they often increase due to higher demand and limited seat availability. While last-minute deals can sometimes be found,📞+1-801-(8... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/geco | GECO | Generalized ELBO with Constrained Optimization | {
"title": "Taming VAEs",
"url": "https://paperswithcode.com/paper/taming-vaes"
} | 2,000 | http://arxiv.org/abs/1810.00597v1 | Taming VAEs | null | 14 | [
{
"area": "General",
"area_id": "general",
"collection": "Variational Optimization"
}
] | |
https://paperswithcode.com/method/gtrxl | GTrXL | Gated Transformer-XL | **Gated Transformer-XL**, or **GTrXL**, is a [Transformer](https://paperswithcode.com/methods/category/transformers)-based architecture for reinforcement learning. It introduces architectural modifications that improve the stability and learning speed of the original Transformer and XL variant. Changes include:
- Pl... | {
"title": "Stabilizing Transformers for Reinforcement Learning",
"url": "https://paperswithcode.com/paper/stabilizing-transformers-for-reinforcement-1"
} | 2,000 | https://arxiv.org/abs/1910.06764v1 | Stabilizing Transformers for Reinforcement Learning | 3 | [
{
"area": "Reinforcement Learning",
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"collection": "RL Transformers"
}
] | |
https://paperswithcode.com/method/us-c-nada-how-do-i-connect-with-people-on | US@!!C@NADA|__How do I connect with people on Expedia? | US@!!C@NADA|__How do I connect with people on Expedia? | How Do I Connect with People on Expedia?
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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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/traveltm-option-r-what-is-the-24-hour-rule | {{@Travel™!!Option®️}}What is the 24 hour rule for Copa Airlines? | {{@Travel™!!Option®️}}What is the 24 hour rule for Copa Airlines? | The "24-hour rule" for Copa flights +1 (801) 855-5905 or +1 (804) 853-9001 allows passengers to cancel a flight booking within 24 hours of purchase for a full refund +1 (801) 855-5905 or +1 (804) 853-9001, provided the flight was booked at least seven days before the scheduled 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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/telefono-publica-como-puedo-llamar-a-latam | {Telefóno~Pública}¿Cómo puedo llamar a LATAM desde México? | {Telefóno~Pública}¿Cómo puedo llamar a LATAM desde México? | ¿Cómo me comunico con Latam desde Mexico? La forma principal y más efectiva es mediante el +1-808-470-7107 (MX) o desde +1-808-470-7107 [CL] telefono Latam mexico +1-808-470-7107 (MX) o desde +1-808-470-7107 [CL]. Este número conecta con un agente de servicio al cliente capacitado para atender todas tus necesidades. | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
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}
] |
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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"
}
] |
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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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/can-i-upgrade-airline-seats-with-expedia-an | Can i upgrade airline seats with Expedia?An Extended™ Guide | Can i upgrade airline seats with Expedia?An Extended™ Guide | For seat upgrades or travel help, call Expedia at [+1~(833)~783~3330]. Yes, you can upgrade airline seats with Expedia, depending on the airline's policy and availability [+1~(833)~783~3330]. After booking your Flight, you can visit the “My Trips” section to check if upgrades are offered [+1~(833)~783~3330] Some airlin... | {
"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"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-airlines-how-to-file-a-claim-with | {(FAQs#Airlines)}How to file a claim with American Airlines? | {(FAQs#Airlines)}How to file a claim with American Airlines? | To file a claim with American Airlines,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 you'll typically need to visit the American Airlines customer service page or the specific section for the type of claim you're filing,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 such as baggage claims or refunds. You can usually f... | {
"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 | 0 | [
{
"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 | 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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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"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 | 0 | [
{
"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 | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/allegiant-faqs-what-is-the-cheapest-day-of | [Allegiant~Faqs] What is the cheapest day of the week to buy Allegiant flights? | [Allegiant~Faqs] What is the cheapest day of the week to buy Allegiant flights? | The cheapest day to buy Allegiant Air tickets is typically on Tuesdays, Wednesdays, or Saturdays ☎️+1-801-(855)-(5905) (US) or ☎️+1-804-(853)-(9001) (US) (OTA). Save big on your Allegiant Air bookings by choosing Tuesdays, Wednesdays or Saturdays ☎️+1-801-(855)-(5905) for your travel dates. | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/pgan | pGAN | Parallel GAN | {
"title": "Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN",
"url": "https://paperswithcode.com/paper/hi-gmisnet-generalized-medical-image"
} | 2,000 | https://iopscience.iop.org/article/10.1088/1361-6560/ad3cb3 | Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Segmentation 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 | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/nonrefundable-tickets-how-late-can-you-cancel | [Nonrefundable~Tickets]How late can you cancel on Expedia? | [Nonrefundable~Tickets]How late can you cancel on Expedia? | How late can you cancel on Expedia?
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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 | 0 | [
{
"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 | 0 | [
{
"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/relativistic-gan | Relativistic GAN | Relativistic GAN | A **Relativistic GAN** is a type of generative adversarial network. It has a relativistic discriminator which estimates the probability that the given real data is more realistic than a randomly sampled fake data. The idea is to endow GANs with the property that the probability of real data being real ($D\left(x\_{r}\r... | {
"title": "The relativistic discriminator: a key element missing from standard GAN",
"url": "https://paperswithcode.com/paper/the-relativistic-discriminator-a-key-element"
} | 2,000 | http://arxiv.org/abs/1807.00734v3 | The relativistic discriminator: a key element missing from standard GAN | https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/relativistic_gan/relativistic_gan.py | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
}
] |
https://paperswithcode.com/method/vqsvd | VQSVD | VQSVD | **Variational Quantum Singular Value Decomposition** is a variational quantum algorithm for singular value decomposition (VQSVD). By exploiting the variational principles for singular values and the Ky Fan Theorem, a novel loss function is designed such that two quantum neural networks (or parameterized quantum circuit... | {
"title": "Variational Quantum Singular Value Decomposition",
"url": "https://paperswithcode.com/paper/variational-quantum-singular-value"
} | 2,000 | https://arxiv.org/abs/2006.02336v3 | Variational Quantum Singular Value Decomposition | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Quantum 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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/us-c-nada-how-do-i-complain-to-expedia | US@!!C@NADA|__How do I complain to Expedia? | US@!!C@NADA|__How do I complain to Expedia? | How Do I Complain to Expedia?
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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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/deltaconv | DeltaConv | DeltaConv | Anisotropic convolution is a central building block of CNNs but challenging to transfer to surfaces. DeltaConv learns combinations and compositions of operators from vector calculus, which are a natural fit for curved surfaces. The result is a simple and robust anisotropic convolution operator for point clouds with sta... | {
"title": "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds",
"url": "https://paperswithcode.com/paper/deltaconv-anisotropic-point-cloud-learning"
} | 2,000 | https://arxiv.org/abs/2111.08799v5 | DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
https://paperswithcode.com/method/pipedream-2bw | PipeDream-2BW | PipeDream-2BW | **PipeDream-2BW** is an asynchronous pipeline parallel method that supports memory-efficient pipeline parallelism, a hybrid form of parallelism that combines data and model parallelism with input pipelining. PipeDream-2BW uses a novel pipelining and weight gradient coalescing strategy, combined with the double bufferin... | {
"title": "Memory-Efficient Pipeline-Parallel DNN Training",
"url": "https://paperswithcode.com/paper/memory-efficient-pipeline-parallel-dnn"
} | 2,000 | https://arxiv.org/abs/2006.09503v3 | Memory-Efficient Pipeline-Parallel DNN Training | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Asynchronous Pipeline Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Model Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/do-i-lose-money-if-i-cancel-a-flight-faq | Do I lose money if I cancel a flight? (FAQ~Guide^) | Do I lose money if I cancel a flight? (FAQ~Guide^) | Many travelers ask, +1-844||765||2010 or +1866-543-1016 “Are Southwest flights refundable?” In practice, Southwest’s refund policy is flexible but depends on fare class. All tickets can be cancelled without a fee, but getting money back depends on the fare you paid. By U.S. law, any Southwest ticket (domestic or intern... | {
"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/tucker-rp | TuckER-RP | TuckER with Relation Prediction | TuckER model trained with a relation prediction objective on top of the 1vsAll loss | {
"title": "Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations",
"url": "https://paperswithcode.com/paper/relation-prediction-as-an-auxiliary-training"
} | 2,000 | https://arxiv.org/abs/2110.02834v1 | Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations | null | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] |
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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 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/polarnet | PolarNet | PolarNet | **PolarNet** is an improved grid representation for online, single-scan LiDAR point clouds. Instead of using common spherical or bird's-eye-view projection, the polar bird's-eye-view representation balances the points across grid cells in a polar coordinate system, indirectly aligning a segmentation network's attention... | {
"title": "PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation",
"url": "https://paperswithcode.com/paper/polarnet-an-improved-grid-representation-for"
} | 2,000 | https://arxiv.org/abs/2003.14032v2 | PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation | null | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Point Cloud Representations"
}
] |
https://paperswithcode.com/method/us-c-nada-how-do-i-ask-a-question-at-expedia | US@!!C@NADA|__How do I ask a question at Expedia? | US@!!C@NADA|__How do I ask a question at Expedia? | How Do I Ask a Question at Expedia?
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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 | 0 | [
{
"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",
"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 | 0 | [
{
"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
https://paperswithcode.com/method/does-royal-caribbean-offer-a-group-discount-1 | Does Royal Caribbean offer a group discount?([Grouptravel]) | Does Royal Caribbean offer a group discount?([Grouptravel]) | Yes, Royal Caribbean offers group discounts for parties typically booking eight or more staterooms 1-855-732-4023(US)/ +44 (28) 7080062 UK. Group bookings often come with perks like discounted fares, onboard credits, reduced deposits, and special amenities. The larger the group, the better the potential benefits 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 | 0 | [
{
"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 | 0 | [
{
"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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"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/fastspeech-2 | FastSpeech 2 | FastSpeech 2 | **FastSpeech2** is a text-to-speech model that aims to improve upon FastSpeech by better solving the one-to-many mapping problem in TTS, i.e., multiple speech variations corresponding to the same text. It attempts to solve this problem by 1) directly training the model with ground-truth target instead of the simplified... | {
"title": "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech",
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{
"area": "Audio",
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}
] | |
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"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 | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
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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 | 0 | [
{
"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 | 0 | [
{
"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"
}
] |
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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 | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"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"
}
] |
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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 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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
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"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 | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/albef | ALBEF | ALBEF | ALBEF introduces a contrastive loss to align the image and text representations before fusing them through cross-modal attention. This enables more grounded vision and language representation learning. ALBEF also doesn't require bounding box annotations. The model consists of an image encode, a text encoder, and a mult... | {
"title": "Align before Fuse: Vision and Language Representation Learning with Momentum Distillation",
"url": "https://paperswithcode.com/paper/align-before-fuse-vision-and-language"
} | 2,000 | https://arxiv.org/abs/2107.07651v2 | Align before Fuse: Vision and Language Representation Learning with Momentum Distillation | 17 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] | |
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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 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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/inception-resnet-v2-b | Inception-ResNet-v2-B | Inception-ResNet-v2-B | **Inception-ResNet-v2-B** is an image model block for a 17 x 17 grid used in the [Inception-ResNet-v2](https://paperswithcode.com/method/inception-resnet-v2) architecture. It largely follows the idea of Inception modules - and grouped convolutions - but also includes residual connections. | {
"title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning",
"url": "https://paperswithcode.com/paper/inception-v4-inception-resnet-and-the-impact"
} | 2,000 | http://arxiv.org/abs/1602.07261v2 | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning | https://github.com/tensorflow/models/blob/e54fcee236a1258302342bd703ee27cbba0c12e3/research/slim/nets/inception_resnet_v2.py#L58 | 18 | [
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
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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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/faqs-anyway-how-do-i-complain-to-seabourn | [Faqs~anyway]How do I complain to Seabourn? | [Faqs~anyway]How do I complain to Seabourn? | To file a complaint with Seabourn Cruise Line, you can contact their customer service via phone, email, (+1-(855)-732-4023 or through their website's live chat feature. For the fastest service, use the dedicated phone number (+1-(855)-732-4023) or the live chat on their website, according to Devolutions Forum. You can ... | {
"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 | 0 | [
{
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/dg-net | DG-Net | Discriminative and Generative Network | {
"title": "Joint Discriminative and Generative Learning for Person Re-identification",
"url": "https://paperswithcode.com/paper/joint-discriminative-and-generative-learning"
} | 2,000 | https://arxiv.org/abs/1904.07223v3 | Joint Discriminative and Generative Learning for Person Re-identification | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/dice-unit | DiCE Unit | DiCE Unit | A **DiCE Unit** is an image model block that is built using dimension-wise convolutions and dimension-wise fusion. The dimension-wise convolutions apply light-weight convolutional filtering across each dimension of the input tensor while dimension-wise fusion efficiently combines these dimension-wise representations; ... | {
"title": "DiCENet: Dimension-wise Convolutions for Efficient Networks",
"url": "https://paperswithcode.com/paper/dicenet-dimension-wise-convolutions-for"
} | 2,000 | https://arxiv.org/abs/1906.03516v3 | DiCENet: Dimension-wise Convolutions for Efficient Networks | https://github.com/sacmehta/EdgeNets/blob/c4c515700df32bb0417de3dd1eb39cfe23bf9148/model/classification/dicenet.py#L14 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/directional-sparse-filtering | Directional Sparse Filtering | Directional Sparse FIltering | {
"title": "Learning complex-valued latent filters with absolute cosine similarity",
"url": "https://paperswithcode.com/paper/learning-complex-valued-latent-filters-with"
} | 2,000 | https://ieeexplore.ieee.org/document/7952589 | Learning complex-valued latent filters with absolute cosine similarity | null | 2 | [
{
"area": "Audio",
"area_id": "audio",
"collection": "Speech Separation Models"
}
] | |
https://paperswithcode.com/method/how-do-i-check-in-with-my-carnival-booking | How do I check in with my Carnival booking number? {FAQs~HElp24/7} | How do I check in with my Carnival booking number? {FAQs~HElp24/7} | While general Carnival Cruise customer service has specific operating hours
, they do offer 24/7 assistance in certain situations:
For True Emergencies:
In the event of a true emergency for family members not traveling with a guest, you can contact Carnival's call center at 1-855-732-4023.
This emergency number i... | {
"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/discapacidades-como-llamar-a-united-airlines | discapacidades~¿Cómo llamar a United Airlines desde El Salvador? | discapacidades~¿Cómo llamar a United Airlines desde El Salvador? | Para solicitar asistencia con United Airlines, puedes contactarlos por teléfono, a través de su página web o utilizando su aplicación móvil. Para asistencia en español, puedes llamar al 1-800-UNITED-1 (+𝟷-𝟾𝟶𝟾-𝟺𝟽𝟶-𝟽𝟷𝟶𝟽). También puedes encontrar información y formularios para solicitar asistencia específica, ... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/quick-guide-r-are-msc-cruises-refundable | [[Quick``Guide®]]Are MSC Cruises refundable? | [[Quick``Guide®]]Are MSC Cruises refundable? | MSC cruise refunds depend on the timing of the cancellation and the specific cruise type.+1-808-900-8011 Generally, deposits are non-refundable, especially for MSC Yacht Club and World Cruises.+1-(855)-732-4023 Cancellation penalties increase as the departure date approaches,+1-(855)-732-4023 potentially reaching 100... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/norwegian-cruises-r-usa-contact-numbers-a | Norwegian Cruises®️ USA Contact Numbers: A Complete Assistance Guide | Norwegian Cruises®️ USA Contact Numbers: A Complete Assistance Guide | Norwegian Cruises's main customer service support is (+1-855-732-4023)., where you can reach a live representative 24/7. Whether you’re dealing with booking changes (+1-855-732-4023), Cruise cancellations, or have questions regarding refunds or compensation, speaking to a live person ensures prompt resolution. You can ... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/densenas-b | DenseNAS-B | DenseNAS-B | **DenseNAS-B** is a mobile convolutional neural network discovered through the [DenseNAS](https://paperswithcode.com/method/densenas) [neural architecture search](https://paperswithcode.com/method/neural-architecture-search) method. The basic building block is MBConvs, or inverted bottleneck residuals, from the [Mobile... | {
"title": "Densely Connected Search Space for More Flexible Neural Architecture Search",
"url": "https://paperswithcode.com/paper/densely-connected-search-space-for-more"
} | 2,000 | https://arxiv.org/abs/1906.09607v3 | Densely Connected Search Space for More Flexible Neural Architecture Search | https://github.com/JaminFong/DenseNAS/blob/e479206f9d73808d4167c669bb1d045a73b6f470/models/search_space_mbv2.py#L7 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/39-ways-to-reach-holland-america-cruise-line | 39 Ways To Reach Holland America cruise line Customer Service By Phone, Calls, Emails: A Comprehensive Guide | 39 Ways To Reach Holland America cruise line Customer Service By Phone, Calls, Emails: A Comprehensive Guide | Holland America cruise line Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
Introduction to Holland America cruise line Cancellation (+1-855-732-4023)
When planning a dream cruise, understanding the Holland America cruise line cancellation policy is crucial, so always keep +1-855-732-4023 h... | {
"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/fastspeech-2s | FastSpeech 2s | FastSpeech 2s | **FastSpeech 2s** is a text-to-speech model that abandons mel-spectrograms as intermediate output completely and directly generates speech waveform from text during inference. In other words there is no cascaded mel-spectrogram generation (acoustic model) and waveform generation (vocoder). FastSpeech 2s generates wavef... | {
"title": "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech",
"url": "https://paperswithcode.com/paper/fastspeech-2-fast-and-high-quality-end-to-end"
} | 2,000 | https://arxiv.org/abs/2006.04558v8 | FastSpeech 2: Fast and High-Quality End-to-End Text to Speech | 1 | [
{
"area": "Audio",
"area_id": "audio",
"collection": "Text-to-Speech Models"
}
] | |
https://paperswithcode.com/method/does-royal-caribbean-offer-a-group-discount-3 | Does Royal Caribbean offer a group discount? ((Contact-USA-Cruise)) | Does Royal Caribbean offer a group discount? ((Contact-USA-Cruise)) | Yes, Royal Caribbean offers group discounts for parties typically booking eight or more staterooms 1-855-732-4023 (USA) or 44-289-708-0062 (UK). Group bookings often come with perks like discounted fares, onboard credits, reduced deposits, and special amenities. The larger the group, the better the potential benefits 1... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/us-c-nada-how-do-i-get-a-human-at-expedia-1 | US@!!C@NADA|__How do I get a human at Expedia immediately? | US@!!C@NADA|__How do I get a human at Expedia immediately? | How Do I Get a Human at Expedia Immediately?
When you need urgent help with a booking, cancellation,+1-888-829-0881 or +1-805-330-4056 or refund on Expedia, getting connected to a live customer service representative can save you time and hassle. Expedia offers multiple ways to reach a human representative, but the qu... | {
"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/numero-de-telefono-oficial-en-vivo-como | {Número de teléfono oficial en vivo}¿Cómo hablar con un representante de American en español? | {Número de teléfono oficial en vivo}¿Cómo hablar con un representante de American en español? | ¿Cómo hablar con un representante de American en español? Para hablar con un representante de American Airlines en español, llame al +1-808-470-7107 (EE. UU.) o al +1-808-470-7107 (México). También puede visitar su sitio web y usar el chat en vivo seleccionando 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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/glm | GLM | GLM | **GLM** is a bilingual (English and Chinese) pre-trained transformer-based language model that follow the traditional architecture of decoder-only autoregressive language modeling. It leverages autoregressive blank infilling as its training objective. | {
"title": "GLM-130B: An Open Bilingual Pre-trained Model",
"url": "https://paperswithcode.com/paper/glm-130b-an-open-bilingual-pre-trained-model"
} | 2,000 | https://arxiv.org/abs/2210.02414v2 | GLM-130B: An Open Bilingual Pre-trained Model | 46 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
}
] | |
https://paperswithcode.com/method/how-to-get-a-refund-from-expedia-protect-you | How to get a refund from Expedia protect you Trip?{{GET~REFUND}} | How to get a refund from Expedia protect you Trip?{{GET~REFUND}} | To get a refund from Expedia’s “Protect Your Trip” insurance, call [+1~(833)~783~3330]. First, log in to your Expedia account and go to “My Trips” Select the booking you want to cancel and review the coverage details [+1~(833)~783~3330]. [+1~(833)~783~3330] If your reason for cancellation is covered, file a claim throu... | {
"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 Reconstruction"
}
] |
https://paperswithcode.com/method/ways-to-contact-norwegian-cruise-customer | Ways to Contact Norwegian cruise Customer Service by Phone, Live chat and Email Detailed: ®️Step by Step Guide | Ways to Contact Norwegian cruise Customer Service by Phone, Live chat and Email Detailed: ®️Step by Step Guide | Norwegian Cruises's main customer service support is (+1-855-732-4023)., where you can reach a live representative 24/7. Whether you’re dealing with booking changes (+1-855-732-4023), Cruise cancellations, or have questions regarding refunds or compensation, speaking to a live person ensures prompt resolution. You can ... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/40-effective-support-options-to-reach-holland | 40 Effective Support Options to Reach Holland America cruise line Customer Service via Call, Email or Chat – Understanding Cancellation Policy. | 40 Effective Support Options to Reach Holland America cruise line Customer Service via Call, Email or Chat – Understanding Cancellation Policy. | Holland America cruise line Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
Introduction to Holland America cruise line Cancellation (+1-855-732-4023)
When planning a dream cruise, understanding the Holland America cruise line cancellation policy is crucial, so always keep +1-855-732-4023 h... | {
"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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