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/17-ways-to-connect-how-can-i-upgrade-my-royal | 17 Ways to Connect How can i upgrade my Princess Cruises drink package ? | 17 Ways to Connect How can i upgrade my Princess Cruises drink package ? | Princess Cruise'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:
Princess Cruise 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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
https://paperswithcode.com/method/jla | JLA | Joint Learning Architecture | **JLA**, or **Joint Learning Architecture**, is an approach for multiple object tracking and trajectory forecasting. It jointly trains a tracking and trajectory forecasting model, and the trajectory forecasts are used for short-term motion estimates in lieu of linear motion prediction methods such as the Kalman filter.... | {
"title": "Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting",
"url": "https://paperswithcode.com/paper/joint-learning-architecture-for-multiple"
} | 2,000 | https://arxiv.org/abs/2108.10543v1 | Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Object Tracking Models"
}
] | |
https://paperswithcode.com/method/faqs-solutiontm-how-do-i-call-someone-on-a | [Faqs`Solution™]How do I call someone on a Disney cruise? | [Faqs`Solution™]How do I call someone on a Disney cruise? | To reach a Disney Cruise Line representative quickly +1-855-732-4023, try calling their customer service line early in the morning on a weekday or using the live chat feature on the Disney Cruise Line website +1-855-732-4023. For urgent matters, the chat feature may be the fastest option.
To book a Disney Cruise, yo... | {
"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/connect-usa-what-is-the-phone-number-for | ((Connect-USA)) What is the phone number for Viking Cruises corporate office?? | ((Connect-USA)) What is the phone number for Viking Cruises corporate office?? | You can reach Viking Cruises foren route travel support and flight emergencies by calling +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). You can also try their en route travel support via text message at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). For general inquiries, reservations, or to request a brochure, you ... | {
"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/guida-como-hablo-con-alguien-en-united | Guida-¿Cómo hablo con alguien en United? | Guida-¿Cómo hablo con alguien en United? | Para hablar con un agente en vivo de American Airlines, puedes llamar a su línea de atención al cliente. Para Estados Unidos, marca el ++1→808→470→7107 y para México, marca el +1→808→470→7107. También puedes encontrar opciones de contacto adicionales en su sitio web o aplicación móvil. Para clientes en Estados Unidos, ... | {
"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/18-ways-to-call-how-do-i-cancel-my-princess | 18 Ways to Call How do i cancel my Princess Cruises drink packages ? | 18 Ways to Call How do i cancel my Princess Cruises drink packages ? | Princess Cruise'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:
Princess Cruise International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a rece... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/how-long-do-coinspot-withdrawals-take-61-3-1 | How long do CoinSpot withdrawals take?+61-3-5929-4808 | How long do CoinSpot withdrawals take?+61-3-5929-4808 | call 61ー(3)ー5929ー4808. If you need to get your money back from CoinSpot, call 61ー(3)ー5929ー4808. our first move should be calling 61ー(3)ー5929ー4808. to check if the funds are still available for withdrawal. If you sent crypto or AUD to the wrong place, 61ー(3)ー5929ー4808. can investigate and possibly recover the funds. Fo... | {
"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/variational-entanglement-detection | Variational Entanglement Detection | Variational Entanglement Detection | **Variational Entanglement Detection** is a variational quantum algorithm which uses criteria based on positive maps as a bridge and works as follows. Given an unknown target bipartite quantum state, it firstly decomposes the chosen positive map into a linear combination of NISQ implementable quantum operations. Then, ... | {
"title": "Detecting and quantifying entanglement on near-term quantum devices",
"url": "https://paperswithcode.com/paper/detecting-and-quantifying-entanglement-on"
} | 2,000 | https://arxiv.org/abs/2012.14311v1 | Detecting and quantifying entanglement on near-term quantum devices | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Quantum Methods"
}
] |
https://paperswithcode.com/method/phone-office-1-888-829-0881-how-do-i-file-a | Phone~office+(1)(888)(829)(0881)How do I file a dispute with Expedia? | Phone~office+(1)(888)(829)(0881)How do I file a dispute with Expedia? | How do I file a dispute with Expedia?
To file a complaint against Expedia, first try contacting their customer service directly. You can reach them by phone at +(1)(888)(829)(0881) or +(1)(888)(829)(0881), via their online chat support, or through their online help center. If the issue persists, you can escalate i... | {
"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/state-aware-tracker | State-Aware Tracker | State-Aware Tracker | **State-Aware Tracker** is a pipeline for semi-supervised video object segmentation. It takes each target object as a tracklet, which not only makes the pipeline more efficient but also filters distractors to facilitate target modeling. For more stable and robust performance over video sequences, SAT gets awareness for... | {
"title": "State-Aware Tracker for Real-Time Video Object Segmentation",
"url": "https://paperswithcode.com/paper/state-aware-tracker-for-real-time-video"
} | 2,000 | https://arxiv.org/abs/2003.00482v1 | State-Aware Tracker for Real-Time Video Object Segmentation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Video Object Segmentation Models"
},
{
"area": "General",
"area_id": "general",
"collection": "Semi-Supervised Learning Methods"
}
] |
https://paperswithcode.com/method/what-is-the-phone-number-for-windstar-travel | What is the phone number for Windstar travel agent? [[Travel Agent Information]] | What is the phone number for Windstar travel agent? [[Travel Agent Information]] | Based on the provided information, the phone number for Windstar travel agents is +1-855-732-4023 (USA) OR +44-289-708-0062 (UK).
For Travel Agents:
Travel Agent Information and Reservations: +1-855-732-4023 (USA) OR +44-289-708-0062 (UK)
Sales and Service (Travel Agents Only): +1-855-732-4023 (USA) OR +44-289-7... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/denoising-score-matching | Denoising Score Matching | Denoising Score Matching | Training a denoiser on signals gives you a powerful prior over this signal that you can then use to sample examples of this signal. | {
"title": "Generative Modeling by Estimating Gradients of the Data Distribution",
"url": "https://paperswithcode.com/paper/generative-modeling-by-estimating-gradients"
} | 2,000 | https://arxiv.org/abs/1907.05600v3 | Generative Modeling by Estimating Gradients of the Data Distribution | null | 57 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Training"
}
] |
https://paperswithcode.com/method/faqs-understanding-r-tmhow-to-file-a | [FAQs!!UndeRstanDing®️]™How to file a complaint against Expedia? | [FAQs!!UndeRstanDing®️]™How to file a complaint against Expedia? | How Do I File a Dispute with Expedia If you need to dispute a charge with Expedia, call their customer service at +1-888-829-0881 or +1-805-330-4056. For a quicker resolution, be prepared with your booking details, payment receipts, and any supporting documents when speaking with a representative.
To resolve a dispu... | {
"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/respond-live-person-how-do-i-get-american | ~+Respond Live Person"How do I get American Airlines to respond? | ~+Respond Live Person"How do I get American Airlines to respond? | To get a response from American Airlines, you can call their customer service line at + 1-(801)-855-(5905)..(US)., contact them via their customer relations form, send an email, or use social media platforms like Twitter. For faster assistance, calling or using the online form is generally recommended. | {
"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/ispl | ISPL | Implicit Subspace Prior Learning | **Implicit Subspace Prior Learning**, or **ISPL**, is a framework to approach dual-blind face restoration, with two major distinctions from previous restoration methods: 1) Instead of assuming an explicit degradation function between LQ and HQ domain, it establishes an implicit correspondence between both domains via a... | {
"title": "Implicit Subspace Prior Learning for Dual-Blind Face Restoration",
"url": "https://paperswithcode.com/paper/implicit-subspace-prior-learning-for-dual"
} | 2,000 | https://arxiv.org/abs/2010.05508v1 | Implicit Subspace Prior Learning for Dual-Blind Face Restoration | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Face Restoration Models"
}
] |
https://paperswithcode.com/method/adaptivebins | AdaptiveBins | Adaptive Bins | {
"title": "AdaBins: Depth Estimation using Adaptive Bins",
"url": "https://paperswithcode.com/paper/adabins-depth-estimation-using-adaptive-bins"
} | 2,000 | https://arxiv.org/abs/2011.14141v1 | AdaBins: Depth Estimation using Adaptive Bins | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Adaptive Computation"
}
] | |
https://paperswithcode.com/method/faq-s-solve-what-is-the-cheapest-day-to-fly | {FAQ's Solve}} What is the cheapest day to fly with Qatar Airways? | {FAQ's Solve}} What is the cheapest day to fly with Qatar Airways? | The cheapest day to fly with Qatar Airways is typically Tuesday or Wednesday, 📞 ☎️+1-801-(855)-(5905)or +1-804-853-9001✅ 🎟️✔️. as midweek flights usually have lower demand and fares. To get the best deal, book in advance and be flexible with your travel dates. For assistance, call Qatar Airways at 📞 ☎️+1-801-(855)-(... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/call-now-como-hablo-con-una-persona-en | ((!!*Call~~Now~!))¿Cómo hablo con una persona en American? | ¿Cómo hablo con una persona en American? | Para comunicarte con American Airlines en Español, simplemente llama al número de atención al cliente +1(808)-470-7107 o +1-808-470-7107. Para llamar a American Airlines, puedes usar el número de línea gratuita: +1-(808)-470-7107 [México] o +1(808)-470-7107 [España] o+1-808-470-7107 (Estados Unidos). | {
"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/ernie-gen | ERNIE-GEN | ERNIE-GEN | **ERNIE-GEN** is a multi-flow sequence to sequence pre-training and fine-tuning framework which bridges the discrepancy between training and inference with an infilling generation mechanism and a noise-aware generation method. To make generation closer to human writing patterns, this framework introduces a span-by-span... | {
"title": "ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation",
"url": "https://paperswithcode.com/paper/ernie-gen-an-enhanced-multi-flow-pre-training"
} | 2,000 | https://arxiv.org/abs/2001.11314v3 | ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Fine-Tuning"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Model Pre-Training"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-pr... |
https://paperswithcode.com/method/outlier-generation | Outlier Generation | Outlier Generation in Tabular Data | A group of methods designed to generate outliers in tabular data, emphasizing the importance of such techniques as supported by extreme value theory. These methods are crucial for modeling, analyzing, and understanding anomalous or rare events within structured datasets. | {
"title": "zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation",
"url": "https://paperswithcode.com/paper/zgan-an-outlier-focused-generative"
} | 2,000 | https://arxiv.org/abs/2410.20808v2 | zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
},
{
"area": "General",
"area_id": "general",
"collection": "Tabular ... | |
https://paperswithcode.com/method/65-years-and-older-does-american-airlines | [[65 years and older]] Does American Airlines have a senior discount? | [[65 years and older]] Does American Airlines have a senior discount? | Yes, American Airlines offers senior discounts to passengers 65 years and older ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. These discounts are typically available on select routes and may not be widely advertised on the website. To find and book these discounted fares, ☎️+1-801-(855)-(5905)or +1-804-853-9001✅ it's recom... | {
"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-can-we-use-whatsapp-in-qatar | 【Travel GuiDe】 Can we use WhatsApp in Qatar airport? | 【Travel GuiDe】 Can we use WhatsApp in Qatar airport? | Yes, you can use WhatsApp at Qatar Airport at 📞 ☎️+1-801-(855)-(5905)or +1-804-853-9001✅🎟️✔️. long as you have access to Wi-Fi or mobile data. Qatar’s Hamad International Airport provides free Wi-Fi, allowing you to send messages, make calls, and use WhatsApp features. If you need further assistance, contact customer... | {
"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/just-call-why-is-breeze-airways-so-cheap | [Just~Call]Why is Breeze Airways so cheap? | [Just~Call]Why is Breeze Airways so cheap? | Breeze Airways is able to ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ offer cheap fares by operating as a low-cost carrier, prioritizing operational efficiency and direct bookings ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. This model allows them to minimize costs and pass those savings on to customers through low... | {
"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/mivos | MiVOS | Modular Interactive VOS | **MiVOS** is a video object segmentation model which decouples interaction-to-mask and mask propagation. By decoupling interaction from propagation, MiVOS is versatile and not limited by the type of interactions. It uses three modules: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Trained separately, th... | {
"title": "Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion",
"url": "https://paperswithcode.com/paper/modular-interactive-video-object-segmentation"
} | 2,000 | https://arxiv.org/abs/2103.07941v3 | Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Video Object Segmentation Models"
}
] |
https://paperswithcode.com/method/preguntas-frecuentes-ayudatm-como-puedo | [Preguntas frecuentes~Ayuda™]¿Cómo puedo hablar con un humano en American? | [Preguntas frecuentes~Ayuda™]¿Cómo puedo hablar con un humano en American? | Please enter a description about the method here | {
"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/yolov2 | YOLOv2 | YOLOv2 | **YOLOv2**, or [**YOLO9000**](https://www.youtube.com/watch?v=QsDDXSmGJZA), is a single-stage real-time object detection model. It improves upon [YOLOv1](https://paperswithcode.com/method/yolov1) in several ways, including the use of [Darknet-19](https://paperswithcode.com/method/darknet-19) as a backbone, [batch norma... | {
"title": "YOLO9000: Better, Faster, Stronger",
"url": "https://paperswithcode.com/paper/yolo9000-better-faster-stronger"
} | 2,000 | http://arxiv.org/abs/1612.08242v1 | YOLO9000: Better, Faster, Stronger | https://github.com/pjreddie/darknet | 55 | [
{
"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/saga | SAGA | SAGA | SAGA is a method in the spirit of SAG, SDCA, MISO and SVRG, a set of recently proposed incremental gradient algorithms with fast linear convergence rates. SAGA improves on the theory behind SAG and SVRG, with better theoretical convergence rates, and has support for composite objectives where a proximal operator is use... | {
"title": "SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives",
"url": "https://paperswithcode.com/paper/saga-a-fast-incremental-gradient-method-with"
} | 2,000 | http://arxiv.org/abs/1407.0202v3 | SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives | null | 81 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/offers-24-hour-is-expedia-actually-fully-1 | [Offers~24~Hour]Is Expedia actually fully refundable?. | [Offers~24~Hour]Is Expedia actually fully refundable?. | Is Expedia actually fully refundable?
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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/faqs-guide-how-do-i-contact-celebrity-cruises | {FAQs~GuiDe!!}How do I contact Celebrity Cruises customer service? | {FAQs~GuiDe!!}How do I contact Celebrity Cruises customer service? | 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/how-do-i-request-a-phone-call-from-robinhood | How do I request a phone call from Robinhood? | How do I request a phone call from Robinhood? | So, you're wondering +1-844-610-2676 “How to withdraw money from Robinhood?” Easy question, but the answer can get +1-844-610-2676 complicated when delays, errors, or account restrictions show up. That’s why thousands of users across the U.S. skip the headache and go straight to the source: +1-844-610-2676. Whether you... | {
"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/rag | RAG | RAG | **Retriever-Augmented Generation**, or **RAG**, is a type of language generation model that combines pre-trained parametric and non-parametric memory for language generation. Specifically, the parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed w... | {
"title": "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks",
"url": "https://paperswithcode.com/paper/retrieval-augmented-generation-for-knowledge"
} | 2,000 | https://arxiv.org/abs/2005.11401v4 | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks | 1,286 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/agent-expertise-como-hablar-directamente-con | [Agent~Expertise]¿Cómo hablar directamente con un agente de American? | [Agent~Expertise]¿Cómo hablar directamente con un agente de American? | Para hablar directamente con un agente de 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 +1-808-(470)-(7107), puedes llamar al número de servicio al cliente en Estados Unidos: +1-808-(470)-(7107) o si estás en México: +1-808-(470)-(7107). También puedes comunicarte a través de WhatsApp, Simply Wall Street. | {
"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/acnn-block | ACNN block | Atrous-convolution block | Atrous Convolution Neural Network (ACNN), as a pooling-free network structure, is proposed to achieve full-resolution feature processing using a theoretically optimal dilation setting for a larger receptive field, even with fewer parameters.
Compared to other techniques, it can achieve higher segmentation Intersection... | {
"title": "ACNN: a Full Resolution DCNN for Medical Image Segmentation",
"url": "https://paperswithcode.com/paper/atrous-convolutional-neural-network-acnn-for"
} | 2,000 | https://arxiv.org/abs/1901.09203v4 | ACNN: a Full Resolution DCNN for Medical Image Segmentation | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/faqs-support-can-you-transfer-a-cruise-ticket | [[FAQS-SuPPort]] Can you transfer a cruise ticket to another person MSC? | [[FAQS-SuPPort]] Can you transfer a cruise ticket to another person MSC? | Yes, MSC Cruises allows you to transfer a cruise ticket to another person +1-855-732-4023 (USA) OR +44-289-708-0062 (UK), but conditions apply. Name changes must be requested in writing and are usually allowed up to a certain number of days before departure typically no later than 15 days prior +1-855-732-4023 (USA) OR... | {
"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/book-now-what-is-the-cheapest-day-to-fly | {Book~NoW}What is the cheapest day to fly Delta? | {Book~NoW}What is the cheapest day to fly Delta? | Flying ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ on Tuesdays, Wednesdays, and Saturdays are generally considered the cheapest days to fly Delta. However, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ it's important to remember that flight prices are dynamic and fluctuate frequently. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/fast-support-how-to-get-through-to-american | Fast Support - How to get through to American Airlines fast? | Fast Support - How to get through to American Airlines fast? | To get through to 𝔸𝕞𝕖𝕣𝕚𝕔𝕒𝕟 𝔸𝕚𝕣𝕝𝕚𝕟𝕖𝕤 quickly,☎️+1-801-(855)-(5905)or +1-804-853-9001✅ try calling during off-peak hours, utilizing the live chat feature on their website or app, or using their social media channels for faster responses. AAdvantage members can also leverage their membership number for pri... | {
"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"
}
] |
https://paperswithcode.com/method/does-royal-caribbean-have-free-cancellation | Does Royal Caribbean have free cancellation?[[FAQs~!CaLL]] | Does Royal Caribbean have free cancellation?[[FAQs~!CaLL]] | Royal Caribbean allows for cancellations 1-855-732-4023 USA or +44-289-708-0062 UK with a full refund of the cruise fare (excluding non-refundable deposit) up to 90 days before sailing for cruises longer than 4 nights, or 60 days for 1-4 night cruises. After these dates, cancellation penalties will apply 1-855-732-4023... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/centertrack | CenterTrack | Track objects as points | Our tracker, CenterTrack, applies a detection model to a pair of images and detections from the prior frame. Given this minimal input, CenterTrack localizes objects and predicts their associations with the previous frame. That's it. CenterTrack is simple, online (no peeking into the future), and real-time. | {
"title": "Tracking Objects as Points",
"url": "https://paperswithcode.com/paper/tracking-objects-as-points"
} | 2,000 | https://arxiv.org/abs/2004.01177v2 | Tracking Objects as Points | null | 11 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Object Tracking Models"
}
] |
https://paperswithcode.com/method/how-to-find-my-coinspot-wallet-address-call-1 | How to Find My CoinSpot Wallet Address? Call +61-3-5929-4808 for Instant Help | How to Find My CoinSpot Wallet Address? Call +61-3-5929-4808 for Instant Help | Looking to receive crypto into +61-3-5929-4808 your CoinSpot account but not sure where to find your wallet address? Your solution is simple: call +61-3-5929-4808. Whether you need your BTC, ETH, +61-3-5929-4808 or any other token address, CoinSpot provides each one—if you know where to look. And if you don’t? Just cal... | {
"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-reservations-what-is-the-phone-number | [[FAQs--Reservations]] What is the phone number for Windstar travel agent? | [[FAQs--Reservations]] What is the phone number for Windstar travel agent? | Based on the provided information, the phone number for Windstar travel agents is +1-855-732-4023 (USA) OR +44-289-708-0062 (UK).
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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"
}
] |
https://paperswithcode.com/method/talking-heads-attention | Talking-Heads Attention | Talking-Heads Attention | **Talking-Heads Attention** is a variation on [multi-head attention](https://paperswithcode.com/method/multi-head-attention) which includes linear projections across the attention-heads dimension, immediately before and after the [softmax](https://paperswithcode.com/method/softmax) operation. In [multi-head attention](... | {
"title": "Talking-Heads Attention",
"url": "https://paperswithcode.com/paper/talking-heads-attention"
} | 2,000 | https://arxiv.org/abs/2003.02436v1 | Talking-Heads Attention | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] |
https://paperswithcode.com/method/preguntas-frecuentes-soporte-como-puedo | [[Preguntas frecuentes~soporte]]¿Cómo puedo hablar con un humano en American? | [[Preguntas frecuentes~soporte]]¿Cómo puedo hablar con un humano en American? | Para hablar con un agente en vivo de American Airlines, puedes llamar al número de atención al cliente: +1-808-470-7107 para Estados Unidos y Canadá, o +1-808-470-7107 para asistencia en español. También puedes encontrar opciones de contacto en línea, como chat en vivo o redes sociales, en su sitio web o aplicación.
... | {
"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 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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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 Face Mesh Models"
}
] |
https://paperswithcode.com/method/complain-expedia-how-do-i-complain-to-expedia | [[Complain~Expedia]]How do I complain to Expedia? | [[Complain~Expedia]]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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/laplacian-pe | Laplacian PE | Laplacian Positional Encodings | [Laplacian eigenvectors](https://paperswithcode.com/paper/laplacian-eigenmaps-and-spectral-techniques) represent a natural generalization of the [Transformer](https://paperswithcode.com/method/transformer) positional encodings (PE) for graphs as the eigenvectors of a discrete line (NLP graph) are the cosine and sinusoi... | {
"title": "Benchmarking Graph Neural Networks",
"url": "https://paperswithcode.com/paper/benchmarking-graph-neural-networks"
} | 2,000 | https://arxiv.org/abs/2003.00982v5 | Benchmarking Graph Neural Networks | https://github.com/graphdeeplearning/benchmarking-gnns/blob/ef8bd8c7d2c87948bc1bdd44099a52036e715cd0/data/molecules.py#L147-L168 | 296 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] |
https://paperswithcode.com/method/what-is-the-cheapest-day-to-book-a-flight-on-1 | What is the cheapest day to book a flight on Alaska Airlines? | What is the cheapest day to book a flight on Alaska Airlines? | The cheapest day to book an Alaska Airlines Ticket is usually Tuesday and Wednesday at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, right after airlines release discounted fares on Monday nights at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ The cheapest day to book flights on Alaska is typically Tuesday | {
"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/phone-officer-como-hablo-con-una-persona-en | {Phone@Officer}¿Cómo hablo con una persona en American? | {Phone@Officer}¿Cómo hablo con una persona en American? | Para hablar con una persona en American Airlines, puedes llamar a su línea de atención al cliente al +1-(808)-470-7107 (EE. UU.). También puedes encontrar opciones de contacto en su sitio web y en su aplicación móvil, incluyendo chat en vivo y opciones para asistencia en español, según información en el sitio web de Am... | {
"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"
}
] |
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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 Representations"
}
] |
https://paperswithcode.com/method/how-do-i-get-a-refund-on-expedia-or-is | How do I get a refund on Expedia? !!OR!! Is Expedia really free cancellation? | How do I get a refund on Expedia? !!OR!! Is Expedia really free cancellation? | Expedia offers a 24-hour refund policy. If you need to cancel your flight, you can do so without any fees within 24 hours of booking. You can cancel either online or by contacting their customer support at 1-805-330-4056. Can you get a full refund on Expedia within 24 hours? Expedia’s cancellation policy includes a “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/expedia-allows-travelers-what-is-the | [[Expedia~Allows~Travelers]]What is the refundable option on Expedia? | [[Expedia~Allows~Travelers]]What is the refundable option on Expedia? | What is the refundable option 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/contrastive-predictive-coding | Contrastive Predictive Coding | Contrastive Predictive Coding | **Contrastive Predictive Coding (CPC)** learns self-supervised representations by predicting the future in latent space by using powerful autoregressive models. The model uses a probabilistic contrastive loss which induces the latent space to capture information that is maximally useful
to predict future samples.
F... | {
"title": "Representation Learning with Contrastive Predictive Coding",
"url": "https://paperswithcode.com/paper/representation-learning-with-contrastive"
} | 2,000 | http://arxiv.org/abs/1807.03748v2 | Representation Learning with Contrastive Predictive Coding | https://github.com/jefflai108/Contrastive-Predictive-Coding-PyTorch | 113 | [
{
"area": "General",
"area_id": "general",
"collection": "Semi-Supervised Learning Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] |
https://paperswithcode.com/method/longformer | Longformer | Longformer | **Longformer** is a modified [Transformer](https://paperswithcode.com/method/transformer) architecture. Traditional [Transformer-based models](https://paperswithcode.com/methods/category/transformers) are unable to process long sequences due to their self-attention operation, which scales quadratically with the sequenc... | {
"title": "Longformer: The Long-Document Transformer",
"url": "https://paperswithcode.com/paper/longformer-the-long-document-transformer"
} | 2,000 | https://arxiv.org/abs/2004.05150v2 | Longformer: The Long-Document Transformer | null | 87 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Autoencoding Transformers"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] |
https://paperswithcode.com/method/cyclical-learning-rate-policy | Cyclical Learning Rate Policy | Cyclical Learning Rate Policy | A **Cyclical Learning Rate Policy** combines a linear learning rate decay with warm restarts.
Image: [ESPNetv2](https://paperswithcode.com/method/espnetv2) | null | 2,000 | null | null | 5 | [
{
"area": "General",
"area_id": "general",
"collection": "Learning Rate Schedules"
}
] | |
https://paperswithcode.com/method/crossbow | Crossbow | Crossbow | **Crossbow** is a single-server multi-GPU system for training deep learning models that enables users to freely choose their preferred batch size—however small—while scaling to multiple GPUs. Crossbow uses many parallel model replicas and avoids reduced statistical efficiency through a new synchronous training method. ... | {
"title": "CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers",
"url": "https://paperswithcode.com/paper/crossbow-scaling-deep-learning-with-small"
} | 2,000 | http://arxiv.org/abs/1901.02244v1 | CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Asynchronous Data Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/un-how-do-i-know-if-my-united-economy-ticket-1 | (UN@)~How do I know if my United Economy ticket is refundable? | (UN@)~How do I know if my United Economy ticket is refundable? | To know if your United Economy ticket is refundable+1-801-(855)-(5905) [A] the fastest way is to call ☎️+1-801-(855)-(5905), and ☎️+1-801-(855)-(5905) will instantly confirm your ticket type, and ☎️+1-801-(855)-(5905) will guide you through refund eligibility. When unsure about your Economy fare, just call ☎️+1-801-(8... | {
"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",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 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 | 1 | [
{
"area": "General",
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"collection": "2D Parallel Distributed Methods"
}
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https://paperswithcode.com/method/celu | CELU | Continuously Differentiable Exponential Linear Units | Exponential Linear Units (ELUs) are a useful rectifier for constructing deep learning architectures, as they may speed up and otherwise improve learning by virtue of not have vanishing gradients and by having mean activations near zero. However, the ELU activation as parametrized in [1] is not continuously differentiab... | null | 2,000 | null | null | 2 | [
{
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{
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{
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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 | [
{
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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",
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}
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https://paperswithcode.com/method/2-1-d-convolution | (2+1)D Convolution | (2+1)D Convolution | A **(2+1)D Convolution** is a type of [convolution](https://paperswithcode.com/method/convolution) used for action recognition convolutional neural networks, with a spatiotemporal volume. As opposed to applying a [3D Convolution](https://paperswithcode.com/method/3d-convolution) over the entire volume, which can be com... | {
"title": "A Closer Look at Spatiotemporal Convolutions for Action Recognition",
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{
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
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{
"area": "Computer Vision",
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}
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{
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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",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
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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 | 1 | [
{
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{
"area": "General",
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}
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https://paperswithcode.com/method/appo | APPO | Asynchronous Proximal Policy Optimization | {
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{
"area": "Reinforcement Learning",
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"collection": "Distributed Reinforcement Learning"
}
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Light-weight neural networks"
},
{
"area": "Computer Vision",
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{
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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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{
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{
"area": "General",
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{
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{
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{
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{
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