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/pointasnl | PointASNL | PointASNL | **PointASNL** is a non-local neural network for point clouds processing It consists of two general modules: adaptive sampling (AS) module and local-Nonlocal (L-NL) module. The AS module first re-weights the neighbors around the initial sampled points from farthest point sampling (FPS), and then adaptively adjusts the s... | {
"title": "PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling",
"url": "https://paperswithcode.com/paper/pointasnl-robust-point-clouds-processing"
} | 2,000 | https://arxiv.org/abs/2003.00492v3 | PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Point Cloud Models"
}
] |
https://paperswithcode.com/method/how-long-does-robinhood-take-to-deposit-funds-1 | How Long Does Robinhood Take to Deposit Funds? – Get clarity | How Long Does Robinhood Take to Deposit Funds? – Get clarity | When you deposit funds into your +1-844-610-2676 Robinhood account, the time it takes for those funds to become available can vary based on several factors. Typically, if you are transferring money from a linked bank account, the deposit will take about 3-5 business days to process. If you have questions about your dep... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
https://paperswithcode.com/method/way-to-help-carnival-reservation-number-1 | Way to help carnival reservation number? policy? Refund policy | Way to help carnival reservation number? policy? Refund policy | 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... | {
"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-talk-directly-on-robinhood-call-1 | How Do I Talk Directly on Robinhood? Call +1-844-610-2676 Now — Real Help, Real People, Right Away! | How Do I Talk Directly on Robinhood? Call +1-844-610-2676 Now — Real Help, Real People, Right Away! | In a world where financial apps run on +1-844-610-2676 automation, many users are left wondering: How do I talk directly on Robinhood? The answer might surprise you—it’s possible, and the secret is dialing +1-844-610-2676. Forget the rabbit holes of help centers and auto-responses. +1-844-610-2676 gives you real access... | {
"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 Representations"
}
] |
https://paperswithcode.com/method/dagnn | DAGNN | Directed Acyclic Graph Neural Network | A GNN for dags, which injects their topological order as an inductive bias via asynchronous message passing. | {
"title": "Directed Acyclic Graph Neural Networks",
"url": "https://paperswithcode.com/paper/directed-acyclic-graph-neural-networks-1"
} | 2,000 | https://arxiv.org/abs/2101.07965v3 | Directed Acyclic Graph Neural Networks | null | 6 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] |
https://paperswithcode.com/method/what-is-the-24-hour-rule-for-latam | What is the 24-hour rule for Latam? | What is the 24-hour rule for Latam? | LATAM Airlines has a 24-hour rule that allows passengers to cancel or modify a booking without penalty within 24 hours of purchase,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ provided the flight is scheduled to depart at least 7 days later. This applies to tickets booked directly with LATAM,☎️+1-801-(855)-(5905) or +... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/dgi | DGI | Deep Graph Infomax | Deep Graph Infomax (DGI), a general approach for learning node representations within graph-structured data in an unsupervised manner. DGI relies on maximizing mutual information between patch representations and corresponding high-level summaries of graphs—both derived using established graph convolutional network arc... | {
"title": "Deep Graph Infomax",
"url": "https://paperswithcode.com/paper/deep-graph-infomax"
} | 2,000 | http://arxiv.org/abs/1809.10341v2 | Deep Graph Infomax | 10 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
https://paperswithcode.com/method/causal-convolution | Causal Convolution | Causal Convolution | **Causal convolutions** are a type of [convolution](https://paperswithcode.com/method/convolution) used for temporal data which ensures the model cannot violate the ordering in which we model the data: the prediction $p(x_{t+1} | x_{1}, \ldots, x_{t})$ emitted by the model at timestep $t$ cannot depend on any of the fu... | {
"title": "WaveNet: A Generative Model for Raw Audio",
"url": "https://paperswithcode.com/paper/wavenet-a-generative-model-for-raw-audio"
} | 2,000 | http://arxiv.org/abs/1609.03499v2 | WaveNet: A Generative Model for Raw Audio | null | 27 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Temporal Convolutions"
}
] |
https://paperswithcode.com/method/how-do-i-enable-two-factor-authentication-2fa | How do I enable Two-Factor Authentication (2FA) on my CoinSpot account?+61-3-5929-4808 | How do I enable Two-Factor Authentication (2FA) on my CoinSpot account?+61-3-5929-4808 | call ６１ー（３）ー５９２９ー４８０８. To know your specific CoinSpot deposit and withdrawal limits, call ６１ー（３）ー５９２９ー４８０８. for a detailed breakdown. ６１ー（３）ー５９２９ー４８０８. will confirm how much AUD you can deposit via POLi, PayID, or BPAY. For crypto withdrawals, ６１ー（３）ー５９２９ー４８０８. will explain daily and monthly limits based on your accou... | {
"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/como-hablo-con-una-persona-en-american-1 | ¿Cómo hablo con una persona en American Airlines?@Quick~Connects~ | ¿Cómo hablo con una persona en American Airlines?@Quick~Connects~ | Para hablar con una persona en 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬 +1-808-(470)-(7107), puedes llamar al número de servicio al cliente en español: +1-808-(470)-(7107). También puedes comunicarte con ellos en línea a través de su sitio web o aplicación +1-808-(470)-(7107). | {
"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/faq-s-helplinetm-can-you-transfer-a-cruise | [{Faq`s`Helpline™]]Can you transfer a cruise ticket to another person MSC? | [{Faq`s`Helpline™]]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, but conditions apply. Name changes must be requested in writing and are usually allowed up to a certain number of days before departure typically no later than 15 days prior 1-855-732-4023. A name change fee may apply, and the req... | {
"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/respuesta-rapida-como-hablo-con-una-persona | 【Respuesta rápida】¿Cómo hablo con una persona real en Qatar Airways? | ¿Cómo hablo con una persona real en Qatar Airways? | Para hablar con una persona real en Qatar Airways, puedes llamar a su servicio de atención al cliente. Los números de teléfono varían según el país desde donde llames+1-808-(470)-(7107). Si estás en México, puedes llamar al +1-808-(470)-(7107) y si estás en Estados Unidos, al +1-808-(470)-(7107), según Fairygodboss. Ta... | {
"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/how-to-ask-for-a-first-class-upgrade-on | Fare~Expedia~Is Expedia fare refundable? | Fare~Expedia~Is Expedia fare refundable? | Expedia ' cancellation policy allows you to cancel a flight within 24 hours of Booking for a full refund, as long as the departure is at least 7 days away. Cancellations after 24 hours may incur fees. For more details, contact customer care at ☎️+1-(805)-330-(4056) ⌛ or ☎️+1-(805)-330-(4056) ⌛
Can I change my fligh... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/is-royal-caribbean-a-luxury-cruise | Is Royal Caribbean a luxury cruise? | Is Royal Caribbean a luxury cruise? | Royal Caribbean is not considered a luxury cruise line +1-855-732-4023 or +1-808-900-8011, though it does offer luxurious experiences within its Royal Suite Class. While Royal Caribbean is known for its large, innovative ships and focus on family-friendly attractions +1-855-732-4023 or +1-808-900-8011, it is not positi... | {
"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/delg | DELG | DELG | **DELG** is a convolutional neural network for image retrieval that combines generalized mean pooling for global features and attentive selection for local features. The entire network can be learned end-to-end by carefully balancing the gradient flow between two heads – requiring only image-level labels. This allows f... | {
"title": "Unifying Deep Local and Global Features for Image Search",
"url": "https://paperswithcode.com/paper/unifying-deep-local-and-global-features-for"
} | 2,000 | https://arxiv.org/abs/2001.05027v4 | Unifying Deep Local and Global Features for Image Search | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Retrieval Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] | |
https://paperswithcode.com/method/can-i-contact-robinhood-by-phone-get-the | Can I Contact Robinhood by Phone? – Get the Facts Here | Can I Contact Robinhood by Phone? – Get the Facts Here | Yes, you can contact +1-844-610-2676 Robinhood by phone for support and assistance with your account. Robinhood +1-844-610-2676 provides a dedicated support line for users who need immediate help or have urgent inquiries. To contact +1-844-610-2676 Robinhood by phone, you will need to find their support contact number,... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
https://paperswithcode.com/method/exclusive-gift-hamper-how-do-i-get-a-human-at-1 | [Exclusive!!Gift!!Hamper]How do I get a human at Expedia? | [Exclusive!!Gift!!Hamper]How do I get a human at Expedia? | To get a human at Expedia, call their support team directly at +(1):805:(330):4056. After dialing, follow the automated menu prompts and press “0” or say “representative” to connect faster. +(1):805:(330):4056 If that doesn't work, wait through the menu until the system transfers you to an agent. | {
"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/how-do-i-update-my-phone-number-on-the-3 | How do I update my phone number on the Robinhood app? | How Do I Update My Phone Number on the Robinhood App? | 1.833.656.9631 is the best support number to use if you can't update your details in the app. 1.833.656.9631 will guide you through updating your address, name, or email. 1.833.656.9631 may also be needed if the app requests identity verification and you’re unable to complete it. 1.833.656.9631 is recommended if change... | {
"title": "CSPNet: A New Backbone that can Enhance Learning Capability of CNN",
"url": "https://paperswithcode.com/paper/cspnet-a-new-backbone-that-can-enhance"
} | 2,000 | https://arxiv.org/abs/1911.11929v1 | CSPNet: A New Backbone that can Enhance Learning Capability of CNN | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Degridding"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/live-agent-how-do-i-connect-with-someone-on | [{#Live Agent}]How do I connect with someone on Singapore Airlines? | [{#Live Agent}]How do I connect with someone on Singapore Airlines? | To connect with someone at Singapore Airlines +1-801-(855)-(5905)or +1-804-853-9001, you have several options: call their customer service hotline +1-801-(855)-(5905)or +1-804-853-9001, use their online chat feature, or reach out via email or social media. For KrisFlyer members, there are dedicated support channels. | {
"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-to-cancel-a-royal-caribbean-cruise-2 | How to cancel a Royal Caribbean cruise without penalty?{[FAQs~!24/7call]} | How to cancel a Royal Caribbean cruise without penalty?{[FAQs~!24/7call]} | Days Prior to Cruise Departure and cancellation Charges 1-855-732-4023 USA or +44-289-708-0062: 151 or more days: deposit is refundable except in the case of non- refundable deposit promotions and airfares 1-855-732-4023 USA or +44-289-708-0062. 150-71 days: loss of deposit. 70-46 days: 25% of fare*
To cancel a crui... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/contact-us-what-is-the-24-hour-rule-for-copa | [Contact~us] What is the 24 hour rule for Copa Airlines? | [Contact~us] What is the 24 hour rule for Copa Airlines? | Under Copa Airlines' 24-hour rule,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ if a customer books a flight at least seven days (168 hours) before the scheduled departure time ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, they are eligible to cancel their ticket within 24 hours of purchase for a full refund. | {
"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/aslfeat | ASLFeat | ASLFeat | **ASLFeat** is a convolutional neural network for learning local features that uses deformable convolutional networks to densely estimate and apply local transformation. It also takes advantage of the inherent feature hierarchy to restore spatial resolution and low-level details for accurate keypoint localization. Fina... | {
"title": "ASLFeat: Learning Local Features of Accurate Shape and Localization",
"url": "https://paperswithcode.com/paper/aslfeat-learning-local-features-of-accurate"
} | 2,000 | https://arxiv.org/abs/2003.10071v2 | ASLFeat: Learning Local Features of Accurate Shape and Localization | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/mavl | MAVL | Multiscale Attention ViT with Late fusion | Multiscale Attention ViT with Late fusion (MAVL) is a multi-modal network, trained with aligned image-text pairs, capable of performing targeted detection using human understandable natural language text queries. It utilizes multi-scale image features and uses deformable convolutions with late multi-modal fusion. The a... | {
"title": "Class-agnostic Object Detection with Multi-modal Transformer",
"url": "https://paperswithcode.com/paper/multi-modal-transformers-excel-at-class"
} | 2,000 | https://arxiv.org/abs/2111.11430v6 | Class-agnostic Object Detection with Multi-modal Transformer | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Modal Methods"
}
] |
https://paperswithcode.com/method/spatial-transformer | Spatial Transformer | Spatial Transformer | A **Spatial Transformer** is an image model block that explicitly allows the spatial manipulation of data within a [convolutional neural network](https://paperswithcode.com/methods/category/convolutional-neural-networks). It gives CNNs the ability to actively spatially transform feature maps, conditional on the feature... | {
"title": "Spatial Transformer Networks",
"url": "https://paperswithcode.com/paper/spatial-transformer-networks"
} | 2,000 | http://arxiv.org/abs/1506.02025v3 | Spatial Transformer Networks | https://github.com/kevinzakka/spatial-transformer-network/blob/375f99046383316b18edfb5c575dc390c4ee3193/stn/transformer.py#L4 | 169 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/isne | ISNE | Inductive Shallow Node Embedding | Inductive Shallow Node Embedding extends shallow embeddings to the realm of inductive learning. It has a novel encoder architecture that captures the local neighborhood structure of each node, enabling effective generalization to unseen nodes. In the generalization, robustness is essential to avoid degradation of perfo... | {
"title": "Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding",
"url": "https://paperswithcode.com/paper/unsupervised-graph-representation-learning"
} | 2,000 | https://doi.org/10.1007/s40747-024-01545-6 | Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding | null | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] |
https://paperswithcode.com/method/fast-autoaugment | Fast AutoAugment | Fast AutoAugment | **Fast AutoAugment** is an image data augmentation algorithm that finds effective augmentation policies via a search strategy based on density matching, motivated by Bayesian DA. The strategy is to improve the generalization performance of a given network by learning the augmentation policies which treat augmented data... | {
"title": "Fast AutoAugment",
"url": "https://paperswithcode.com/paper/fast-autoaugment"
} | 2,000 | https://arxiv.org/abs/1905.00397v2 | Fast AutoAugment | https://github.com/kakaobrain/fast-autoaugment | 7 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] |
https://paperswithcode.com/method/guia-de-preguntas-frecuentes-alaska-airlines | [[ Guía de preguntas frecuentes ]]¿Alaska Airlines ofrece un descuento para personas mayores? | ¿Alaska Airlines ofrece un descuento para personas mayores? | Alaska Airlines ofrece un descuento específico para personas mayores , +1-808-(470)-(7107) o+1-808-(470)-(7107) , pero aún puede ahorrar en vuelos con los códigos de descuento y las ofertas de temporada de Alaska Airlines+1-808-(470)-(7107) | {
"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/agent-determine-expedia-how-do-i-get-to | [Agent~Determine~Expedia]How do I get to Expedia agent? | [Agent~Determine~Expedia]How do I get to Expedia agent? | 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 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/pegasus | PEGASUS | PEGASUS | **PEGASUS** proposes a transformer-based model for abstractive summarization. It uses a special self-supervised pre-training objective called gap-sentences generation (GSG) that's designed to perform well on summarization-related downstream tasks. As reported in the paper, "both GSG and MLM are applied simultaneously t... | {
"title": "PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization",
"url": "https://paperswithcode.com/paper/pegasus-pre-training-with-extracted-gap"
} | 2,000 | https://arxiv.org/abs/1912.08777v2 | PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization | 53 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/dael | DAEL | Domain Adaptive Ensemble Learning | **Domain Adaptive Ensemble Learning**, or **DAEL**, is an architecture for domain adaptation. The model is composed of a CNN feature extractor shared across domains and multiple classifier heads each trained to specialize in a particular source domain. Each such classifier is an expert to its own domain and a non-exper... | {
"title": "Domain Adaptive Ensemble Learning",
"url": "https://paperswithcode.com/paper/domain-adaptive-ensemble-learning"
} | 2,000 | https://arxiv.org/abs/2003.07325v3 | Domain Adaptive Ensemble Learning | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Domain Adaptation"
}
] |
https://paperswithcode.com/method/lapstyle | LapStyle | Laplacian Pyramid Network | **LapStyle**, or **Laplacian Pyramid Network**, is a feed-forward style transfer method. It uses a [Drafting Network](https://paperswithcode.com/method/drafting-network) to transfer global style patterns in low-resolution, and adopts higher resolution [Revision Networks](https://paperswithcode.com/method/revision-netwo... | {
"title": "Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer",
"url": "https://paperswithcode.com/paper/drafting-and-revision-laplacian-pyramid"
} | 2,000 | https://arxiv.org/abs/2104.05376v2 | Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Style Transfer Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] | |
https://paperswithcode.com/method/beta-vae | Beta-VAE | Beta-VAE | **Beta-VAE** is a type of variational autoencoder that seeks to discover disentangled latent factors. It modifies [VAEs](https://paperswithcode.com/method/vae) with an adjustable hyperparameter $\beta$ that balances latent channel capacity and independence constraints with reconstruction accuracy. The idea is to maximi... | {
"title": "beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework",
"url": "https://paperswithcode.com/paper/beta-vae-learning-basic-visual-concepts-with"
} | 2,000 | https://openreview.net/forum?id=Sy2fzU9gl | beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework | https://github.com/AntixK/PyTorch-VAE/blob/master/models/beta_vae.py | 30 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Likelihood-Based Generative Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] |
https://paperswithcode.com/method/31-ways-to-connect-can-i-change-the-name-of-a | 31 Ways to Connect Can I change the name of a passenger on a Carnival cruise: A Step by Step Guide | 31 Ways to Connect Can I change the name of a passenger on a Carnival cruise: A Step by Step Guide | Carnival Cruises Name Change Policy+1-855-732-4023 Guide to Passenger Name Corrections & Transfers
Planning a voyage with Carnival Cruises is an exciting experience, but if you notice a name error on your booking, contacting +1-855-732-4023 should be your first step to ensure accuracy before sailing. Carnival Cruise... | {
"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/why-are-flights-so-cheap-in-turkey-offer | Why are flights so cheap in Turkey? @offer competitive fares | Why are flights so cheap in Turkey?@ offer competitive fares | Flights to and from Turkey are often cheap due to a combination of factors including Istanbul's strategic location as a major hub, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅competitive market strategies, and potentially lower operating costs. ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅Turkish Airlines, in particul... | {
"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/32-ways-to-speak-can-you-transfer-a-cruise | 32 Ways to Speak Can you transfer a cruise ticket to another person Carnival: A Step by Step Guide | 32 Ways to Speak Can you transfer a cruise ticket to another person Carnival: A Step by Step Guide | Carnival Cruises Name Change Policy+1-855-732-4023 Guide to Passenger Name Corrections & Transfers
Planning a voyage with Carnival Cruises is an exciting experience, but if you notice a name error on your booking, contacting +1-855-732-4023 should be your first step to ensure accuracy before sailing. Carnival Cruise... | {
"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/fast-ocr | Fast-OCR | Fast-OCR | Fast-OCR is a new lightweight detection network that incorporates features from existing models focused on the speed/accuracy trade-off, such as [YOLOv2](https://paperswithcode.com/method/yolov2), [CR-NET](https://paperswithcode.com/method/cr-net), and Fast-[YOLOv4](https://paperswithcode.com/method/yolov4). | {
"title": "Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach",
"url": "https://paperswithcode.com/paper/towards-image-based-automatic-meter-reading"
} | 2,000 | https://arxiv.org/abs/2009.10181v5 | Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/vc-r-cnn | VC R-CNN | Visual Commonsense Region-based Convolutional Neural Network | **VC R-CNN** is an unsupervised feature representation learning method, which uses Region-based Convolutional Neural Network ([R-CNN](https://paperswithcode.com/method/r-cnn)) as the visual backbone, and the causal intervention as the training objective. Given a set of detected object regions in an image (e.g., using [... | {
"title": "Visual Commonsense R-CNN",
"url": "https://paperswithcode.com/paper/visual-commonsense-r-cnn"
} | 2,000 | https://arxiv.org/abs/2002.12204v3 | Visual Commonsense R-CNN | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] |
https://paperswithcode.com/method/dma | DMA | Dual Multimodal Attention | In image inpainting task, the mechanism extracts complementary features from the word embedding in two paths by reciprocal attention, which is done by comparing the descriptive text and complementary image areas through reciprocal attention. | {
"title": "Text-Guided Neural Image Inpainting",
"url": "https://paperswithcode.com/paper/neural-image-inpainting-guided-with"
} | 2,000 | https://arxiv.org/abs/2004.03212v4 | Text-Guided Neural Image Inpainting | 39 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
https://paperswithcode.com/method/faq-how-much-money-will-i-lose-if-i-cancel-my | [{FAQ}]How much money will I lose if I cancel my flight? | [{FAQ}]How much money will I lose if I cancel my flight? | How much money will I lose if I cancel my flight?
Typically, Basic Economy fares result in a 100% loss unless +1-833-667-0020 (US) or +44-203-970-0065 (UK) cancel within 24 hours of booking. Standard Economy fares may allow cancellations with penalties ranging from $50 to $200, depending on destination. Before makin... | {
"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/41-ways-to-dial-how-do-i-purchase-aeverage | 41 Ways to Dial How do i purchase Aeverage packages for Silversea Cruises: A Full Support Guide | 41 Ways to Dial How do i purchase Aeverage packages for Silversea Cruises: A Full Support Guide | Silversea'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:
Silversea International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/expedia-live-help-what-is-the-non-refundable | [Expedia-Live-Help]What is the non-refundable policy on Expedia? | [Expedia-Live-Help]What is the non-refundable policy on Expedia? | Expedia offers both refundable and non-refundable booking options, depending on the airline, hotel, or vacation package you select+1-888-829-0881 or +1-805-330-4056.. . To determine whether your reservation qualifies for a refund, check the cancellation policy before booking. If you need assistance, contact Expedia cus... | {
"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/iq-learn | IQ-Learn | Inverse Q-Learning | **Inverse Q-Learning (IQ-Learn)** is a a simple, stable & data-efficient framework for Imitation Learning (IL), that directly learns *soft Q-functions* from expert data. IQ-Learn enables **non-adverserial** imitation learning, working on both offline and online IL settings. It is performant even with very sparse expert... | null | 2,000 | null | null | 4 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Imitation Learning Methods"
}
] | |
https://paperswithcode.com/method/qatar-q-how-can-i-talk-to-someone-in-qatar | [@QATAR~Q@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How can I talk to someone in Qatar? | [@QATAR~Q@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How can I talk to someone in Qatar? | To communicate with someone in Qatar ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, you can use standard phone calls or VoIP services like WhatsApp, Skype, or Zoom. For direct calls ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, dial the country code +974 followed by the recipient's phone number ☎️+1-801-(855)-(5905) o... | {
"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/neuralrecon | NeuralRecon | NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video | **NeuralRecon** is a framework for real-time 3D scene reconstruction from a monocular video. Unlike previous methods that estimate single-view depth maps separately on each key-frame and fuse them later, NeuralRecon proposes to directly reconstruct local surfaces represented as sparse TSDF volumes for each video fragme... | {
"title": "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video",
"url": "https://paperswithcode.com/paper/neuralrecon-real-time-coherent-3d"
} | 2,000 | https://arxiv.org/abs/2104.00681v1 | NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video | https://zju3dv.github.io/neuralrecon/ | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Meshing"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/early-dropout | Early Dropout | Early Dropout | Introduced by Hinton et al. in 2012, dropout has stood the test of time as a regularizer for preventing overfitting in neural networks. In this study, we demonstrate that dropout can also mitigate underfitting when used at the start of training. During the early phase, we find dropout reduces the directional variance o... | {
"title": "Dropout Reduces Underfitting",
"url": "https://paperswithcode.com/paper/dropout-reduces-underfitting"
} | 2,000 | https://arxiv.org/abs/2303.01500v2 | Dropout Reduces Underfitting | https://gist.github.com/ericup/e437162a1ddb33276d2c3601b2044379 | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
https://paperswithcode.com/method/how-do-i-get-a-callback-from-robinhood | How do I get a callback from Robinhood support? | How do I get a callback from Robinhood support? | call +1.844.610.2676 To speak directly with Robinhood customer service, the first step is to request a callback in the app or call +1.844.610.2676 for assistance. This number, +1.844.610.2676, ensures that your issue is classified correctly and submitted without delay. After you complete the form, you’ll receive a conf... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/ryanair-name-change-policy-how-strict-is | [{ryanair name change policy}] How strict is Ryanair with names? | [{ryanair name change policy}]How strict is Ryanair with names? | Ryanair is strict about passenger names on tickets—the +1-808-751-2262 (US), or +44-203-900-3009 (UK). name on your boarding pass must exactly match your government-issued ID. Even minor spelling mistakes can cause check-in problems. To update or correct your name, contact Ryanair customer support at +1-808-751-2262 (U... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/connect-now-how-do-i-get-american-airlines-to | CONNECT~~NOW~~How Do I Get American Airlines to Respond? | CONNECT~~NOW~~How Do I Get American Airlines to Respond? | How Do I Get American Airlines to Respond?
For a fast response from American Airlines, your best option is to call ☎️(+1(804)-853-9001). Whether it’s about flights, delays, or refunds, ☎️(+1(804)-853-9001) is the number to call. To follow up on emails or online claims, call (+1(804)-853-9001). If you haven’t heard b... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-s-agent-is-klm-open-on-24-7 | FAQ's-AgenT-Is KLM open on 24/7? | FAQ's-AgenT-Is KLM open on 24/7? | Yes, KLM offers 24/7 customer service through their official channels. This includes phone support and assistance via social media. For example, you can reach their customer service hotline at +1-801-855-5905.or +1-801-855-5905., according to KLM's website. They also actively staff their social media accounts 24/7 | {
"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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-24-7support-how-do-i-make-a-complaint-to | {FAQs~24/7SuPport}How do I make a complaint to Celebrity Cruises? | {FAQs~24/7SuPport}How do I make a complaint to Celebrity Cruises? | SALES SERVICE
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CRUISE ENHANCEMENTS | S... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/can-i-change-the-name-of-a-passenger-on-a | Can I change the name of a passenger on a Carnival cruise? | Can I change the name of a passenger on a Carnival cruise? | Yes, you can change the name of a passenger on a Carnival cruise 1-800-950-4401, but restrictions and fees apply. Name changes are allowed for minor corrections (e.g., spelling) at no charge 1-800-950-4401. However, a full name change or transferring the booking to another person may incur a fee and must be approved by... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/deep-lstm-reader | Deep LSTM Reader | Deep LSTM Reader | The **Deep LSTM Reader** is a neural network for reading comprehension. We feed documents one word at a time into a Deep [LSTM](https://paperswithcode.com/method/lstm) encoder, after a delimiter we then also feed the query into the encoder. The model therefore processes each document query pair as a single long sequenc... | {
"title": "Teaching Machines to Read and Comprehend",
"url": "https://paperswithcode.com/paper/teaching-machines-to-read-and-comprehend"
} | 2,000 | http://arxiv.org/abs/1506.03340v3 | Teaching Machines to Read and Comprehend | null | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Reading Comprehension Models"
},
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Recurrent Neural Networks"
}
] |
https://paperswithcode.com/method/43-ways-to-call-can-i-speak-to-someone-about | 43 Ways to Call Can i speak to someone about Silversea Cruises drink packages: A Full Support Guide | 43 Ways to Call Can i speak to someone about Silversea Cruises drink packages: A Full Support Guide | Silversea'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:
Silversea International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"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/gradient-sparsification | Gradient Sparsification | Gradient Sparsification | **Gradient Sparsification** is a technique for distributed training that sparsifies stochastic gradients to reduce the communication cost, with minor increase in the number of iterations. The key idea behind our sparsification technique is to drop some coordinates of the stochastic gradient and appropriately amplify th... | {
"title": "Gradient Sparsification for Communication-Efficient Distributed Optimization",
"url": "https://paperswithcode.com/paper/gradient-sparsification-for-communication"
} | 2,000 | http://arxiv.org/abs/1710.09854v1 | Gradient Sparsification for Communication-Efficient Distributed Optimization | 38 | [
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
},
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
},
{
"area": "General"... | |
https://paperswithcode.com/method/ipa-gnn | IPA-GNN | Instruction Pointer Attention Graph Neural Network | **Instruction Pointer Attention Graph Neural Network**, or **IPA-GNN**, is a learning-interpreter neural network (LNN) based on GNNs for learning to execute programmes. It achieves improved systematic generalization on the task of learning to execute programs using control flow graphs. The model arises by considering R... | {
"title": "Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks",
"url": "https://paperswithcode.com/paper/learning-to-execute-programs-with-instruction"
} | 2,000 | https://arxiv.org/abs/2010.12621v1 | Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks | null | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] |
https://paperswithcode.com/method/vsgnet | VSGNet | Visual-Spatial-Graph Network | **Visual-Spatial-Graph Network** (VSGNet) is a network for human-object interaction detection. It extracts visual features from the image representing the human-object pair, refines the features with spatial configurations of the pair, and utilizes the structural connections between the pair via graph convolutions. | {
"title": "VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions",
"url": "https://paperswithcode.com/paper/vsgnet-spatial-attention-network-for"
} | 2,000 | https://arxiv.org/abs/2003.05541v1 | VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Human Object Interaction Detectors"
}
] |
https://paperswithcode.com/method/hpo | HPO | Hyper-parameter optimization | In machine learning, a hyperparameter is a parameter whose value is used to control learning process, and HPO is the problem of choosing a set of optimal hyperparameters for a learning algorithm. | {
"title": "Algorithms for Hyper-Parameter Optimization",
"url": "https://paperswithcode.com/paper/algorithms-for-hyper-parameter-optimization"
} | 2,000 | http://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization | Algorithms for Hyper-Parameter Optimization | null | 154 | [
{
"area": "General",
"area_id": "general",
"collection": "AutoML"
}
] |
https://paperswithcode.com/method/connect-now-does-copa-have-a-senior-discount | CONNECT~~NOW~~Does Copa have a senior discount? | CONNECT~~NOW~~Does Copa have a senior discount? | Yes, Copa Airlines does offer senior discounts ( 1⇌8.01-85.5⇌59.05) or ( 1⇌8.04-85.3⇌90.01), but availability is not consistent across all routes and may depend on local regulations. ( 1⇌8.01-85.5⇌59.05) or ( 1⇌8.04-85.3⇌90.01) These discounts are typically offered in countries where local laws mandate benefits for sen... | {
"title": "0-dimensional Homology Preserving Dimensionality Reduction with TopoMap",
"url": "https://paperswithcode.com/paper/0-dimensional-homology-preserving"
} | 2,000 | https://openreview.net/forum?id=zrDNDWjOGwH | 0-dimensional Homology Preserving Dimensionality Reduction with TopoMap | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/pyramid-pooling-module | Pyramid Pooling Module | Pyramid Pooling Module | A **Pyramid Pooling Module** is a module for semantic segmentation which acts as an effective global contextual prior. The motivation is that the problem of using a convolutional network like a [ResNet](https://paperswithcode.com/method/resnet) is that, while the receptive field is already larger than the input image, ... | {
"title": "Pyramid Scene Parsing Network",
"url": "https://paperswithcode.com/paper/pyramid-scene-parsing-network"
} | 2,000 | http://arxiv.org/abs/1612.01105v2 | Pyramid Scene Parsing Network | null | 75 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Modules"
}
] |
https://paperswithcode.com/method/fsaf | FSAF | FSAF | **FSAF**, or Feature Selective Anchor-Free, is a building block for single-shot object detectors. It can be plugged into single-shot detectors with feature pyramid structure. The FSAF module addresses two limitations brought up by the conventional anchor-based detection: 1) heuristic-guided feature selection; 2) overla... | {
"title": "Feature Selective Anchor-Free Module for Single-Shot Object Detection",
"url": "https://paperswithcode.com/paper/feature-selective-anchor-free-module-for"
} | 2,000 | http://arxiv.org/abs/1903.00621v1 | Feature Selective Anchor-Free Module for Single-Shot Object Detection | https://github.com/hdjang/Feature-Selective-Anchor-Free-Module-for-Single-Shot-Object-Detection/blob/d6ba356e0e9b65d658752fa7b712368addec7e31/mmdet/models/detectors/fsaf.py#L8 | 7 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Feature Extractors"
}
] |
https://paperswithcode.com/method/factorized-dense-synthesized-attention | Factorized Dense Synthesized Attention | Factorized Dense Synthesized Attention | **Factorized Dense Synthesized Attention** is a synthesized attention mechanism, similar to [dense synthesized attention](https://paperswithcode.com/method/dense-synthesized-attention), but we factorize the outputs to reduce parameters and prevent overfitting. It was proposed as part of the [Synthesizer](https://papers... | {
"title": "Synthesizer: Rethinking Self-Attention in Transformer Models",
"url": "https://paperswithcode.com/paper/synthesizer-rethinking-self-attention-in"
} | 2,000 | https://arxiv.org/abs/2005.00743v3 | Synthesizer: Rethinking Self-Attention in Transformer Models | null | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Synthesized Attention Mechanisms"
},
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] |
https://paperswithcode.com/method/comprendre-les-regles-dannulation-detihad | Comprendre les règles d’annulation d’Etihad Airways? | Comprendre les règles d’annulation d’Etihad Airways? | Comprendre les règles d’annulation d’Etihad Airways?
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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/comment-annuler-un-billet-etihad-sans-stress | Comment annuler un billet Etihad sans stress | Comment annuler un billet Etihad sans stress | Vous souhaitez annuler votre vol Etihad mais vous ne savez pas par où commencer ? Le plus simple est d’appeler immédiatement le +33 159 002 947 (FRANCE). Ce numéro vous connecte à un conseiller capable de résilier votre vol ou de transformer votre billet selon les conditions du tarif.
Certains billets peuvent être ann... | {
"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/help-faqs-how-to-get-a-senior-discount-on | [HELP-FAQS]How to Get a Senior Discount on American Airlines? | [HELP-FAQS]How to Get a Senior Discount on American Airlines? | American Airlines offers senior discounts to passengers aged 65 and older 📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 (USA), typically ranging from 5% to 15% on select routes 📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 (USA). These discounts are not automatically applied and must be selected during the booking pr... | {
"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/resnet-rs | ResNet-RS | ResNet-RS | **ResNet-RS** is a family of [ResNet](https://paperswithcode.com/method/resnet) architectures that are 1.7x faster than [EfficientNets](https://paperswithcode.com/method/efficientnet) on TPUs, while achieving similar accuracies on ImageNet. The authors propose two new scaling strategies: (1) scale model depth in regime... | {
"title": "Revisiting ResNets: Improved Training and Scaling Strategies",
"url": "https://paperswithcode.com/paper/revisiting-resnets-improved-training-and"
} | 2,000 | https://arxiv.org/abs/2103.07579v1 | Revisiting ResNets: Improved Training and Scaling Strategies | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] | |
https://paperswithcode.com/method/faqs-proper-how-do-i-file-a-dispute-with | [FAqs-Proper]How do I file a dispute with Expedia? | [FAqs-Proper]How do I file a dispute with Expedia? | To file a dispute with Expedia, contact their customer support at+1-888-829-0881 or +1-805-330-4056 Clearly explain your issue with all booking details. If unresolved, escalate to a supervisor, use online chat or email, and consider filing a complaint with the BBB or disputing the charge with your bank. Who do I compla... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/k3m | K3M | K3M | **K3M** is a multi-modal pretraining method for e-commerce product data that introduces knowledge modality to correct the noise and supplement the missing of image and text modalities. The modal-encoding layer extracts the features of each modality. The modal-interaction layer is capable of effectively modeling the int... | {
"title": "Knowledge Perceived Multi-modal Pretraining in E-commerce",
"url": "https://paperswithcode.com/paper/knowledge-perceived-multi-modal-pretraining"
} | 2,000 | https://arxiv.org/abs/2109.00895v1 | Knowledge Perceived Multi-modal Pretraining in E-commerce | null | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Model Pre-Training"
}
] |
https://paperswithcode.com/method/how-do-i-connect-with-someone-on-singapore | How do I connect with someone on Singapore Airlines? | How do I connect with someone on Singapore Airlines? | To connect with someone at Singapore Airlines, you can call +1-888-666-3330 (US) or +44-(20)-3900 0930 (UK) to reach their customer service team by phone. If you're in the UK, call +44-(20)-3900 0930. For customers in the US, dial 1-888-666-3330. Their representatives are available to assist with flight bookings, chan... | {
"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/tabularargn | TabularARGN | Tabular Auto-Regressive Generative Network | Unlike synthetic data generators that rely on increasingly complex and resource-heavy architectures, TabularARGN adopts a more **focused and efficient model design**. These design choices result in:
* **High Fidelity**: TabularARGN achieves synthetic data quality on par with state-of-the-art (SOTA) models
* **Priva... | null | 2,000 | null | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Tabular Data Generation"
}
] | |
https://paperswithcode.com/method/como-puedo-hablar-con-un-asesor-de-american | Cómo puedo hablar con un asesor de American? | Cómo puedo hablar con un asesor de American | +1➤808➤470➤7107 (Estados Unidos) para resolver tus dudas. 📞¿Cómo comunicarte rápido con un agente en español? Marca [+1➤808➤470➤7107] (MX), +1➤808➤470➤7107(España) o +1➤808➤470➤7107 (Estados Unidos) y selecciona el idioma español en el menú. | {
"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/poker-software-developer | Poker Software Developer | POKSODE | Poker is a game of skill that uses probability concepts based on true randomization and, to some extent, opponent behavioral psychology. In the current AI era, NLP and other data science methods play a vital role for players as well as game operators to offer secure, non-breachable software solutions.
Current studi... | {
"title": "PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations",
"url": "https://paperswithcode.com/paper/pokerkit-a-comprehensive-python-library-for"
} | 2,000 | https://arxiv.org/abs/2308.07327v6 | PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Active Learning"
}
] |
https://paperswithcode.com/method/delta-flights-what-are-the-cheapest-days-to | {{Delta Flights}} What are the cheapest days to Fly Delta? | What are the cheapest days to Fly Delta? | The cheapest days to fly Delta are generally Tuesdays, Wednesdays, and Saturdays, +44-(20)-3900 0930 (UK) or 1-888-666-3330 (US). as these days tend to have less demand. To find the best deals, consider booking in advance and flying during off-peak times like early mornings or late evenings. For more personalized assis... | {
"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/gnncl | GNNCL | Graph Neural Networks with Continual Learning | Although significant effort has been applied to fact-checking, the prevalence of fake news over social media, which has profound impact on justice, public trust and our society, remains a serious problem. In this work, we focus on propagation-based fake news detection, as recent studies have demonstrated that fake news... | {
"title": "Graph Neural Networks with Continual Learning for Fake News Detection from Social Media",
"url": "https://paperswithcode.com/paper/graph-neural-networks-with-continual-learning"
} | 2,000 | https://arxiv.org/abs/2007.03316v2 | Graph Neural Networks with Continual Learning for Fake News Detection from Social Media | null | 2 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] |
https://paperswithcode.com/method/cruise-does-royal-caribbean-offer-senior | [[Cruise]]Does Royal Caribbean offer senior discounts? | [[Cruise]]Does Royal Caribbean offer senior discounts? | You can reachRoyal Caribbean customer serviceby calling their main hotline at +1-855-732-4023 or 1-808-900-8011. If you prefer an alternative, you can also email them at RoyalGuestRelations@rccl.com.
For individual reservations, call 1-855-732-4023 or 1-808-900-8011. They are available Monday-Sunday from 7am-2am (E... | {
"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/2025-cruises-faqs-way-to-contact-carnival-1 | [[2025 Cruises FAQS]]➡️Way to contact carnival cruise cancellation phone number? | [[2025 Cruises FAQS]]➡️Way to contact carnival cruise cancellation phone number? | How Do I contact Carnival cruise 24 hour Customer service?
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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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
https://paperswithcode.com/method/qatar-q-how-to-communicate-with-someone-in | [@QATAR~Q@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How to communicate with someone in Qatar? | [@QATAR~Q@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How to communicate with someone in Qatar? | To communicate with someone in Qatar ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, you can use standard phone calls or VoIP services like WhatsApp, Skype, or Zoom. For direct calls ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, dial the country code +974 followed by the recipient's phone number. | {
"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-update-my-coinspot-phone-number | How do I update my CoinSpot phone number? | How do I update my CoinSpot phone number? | To update your CoinSpot phone number, contact ☎️〘61.3.5.-9_2.-9_4808 for support. Log into your CoinSpot account, go to “Settings,” then “Security,” and select the phone number update option. Submit a clear photo of yourself holding a valid ID (e.g., driver’s license) and a handwritten note: “My name is [Your Full Name... | {
"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/faq-s-call-what-is-the-cheapest-day-to-book-a | “[FAQ's-Call] What is the cheapest day to book a Lufthansa flight? | “[FAQ's-Call] What is the cheapest day to book a Lufthansa flight? | The cheapest day to book flights on Lufthansa Airline ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ is typically Tuesday, Wednesday, and Saturdays ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ EE. These are considered off-peak travel days when demand is lower, leading to cheapest fares ☎️+1-801-(855)-(5905) or +1-804-(... | {
"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/graphesn | GraphESN | Graph Echo State Network | **Graph Echo State Network** (**GraphESN**) model is a generalization of the Echo State Network (ESN) approach to graph domains. GraphESNs allow for an efficient approach to Recursive Neural Networks (RecNNs) modeling extended to deal with cyclic/acyclic, directed/undirected, labeled graphs. The recurrent reservoir of ... | null | 2,010 | null | null | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
https://paperswithcode.com/method/faqs-support-is-royal-caribbean-a-luxury | [FAQs-Support]Is Royal Caribbean a luxury cruise? | [FAQs-Support]Is Royal Caribbean a luxury cruise? | Royal Caribbean is not considered a luxury cruise line +1-855-732-4023 or +1-808-900-8011, though it does offer luxurious experiences within its Royal Suite Class. While Royal Caribbean is known for its large, innovative ships and focus on family-friendly attractions +1-855-732-4023 or +1-808-900-8011, it is not positi... | {
"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/herry | [Booking~Human~Exedia]How do I get a human at Expedia? | [Booking~Human~Exedia]How do I get a human at Expedia? | How Do I Get a Human at Expedia Immediately? Need to speak to a real person at Expedia? Skip the wait and call +1-(888)-829-0881 (OTA) to reach Expedia customer service immediately +1-(888)-829-0881 . When you're facing a travel emergency — like a canceled flight, lost hotel reservation, or a last-minute booking issue ... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
https://paperswithcode.com/method/adafactor | Adafactor | Adafactor | **Adafactor** is a stochastic optimization method based on [Adam](https://paperswithcode.com/method/adam) that reduces memory usage while retaining the empirical benefits of adaptivity. This is achieved through maintaining a factored representation of the squared gradient accumulator across training steps. Specifically... | {
"title": "Adafactor: Adaptive Learning Rates with Sublinear Memory Cost",
"url": "https://paperswithcode.com/paper/adafactor-adaptive-learning-rates-with"
} | 2,000 | http://arxiv.org/abs/1804.04235v1 | Adafactor: Adaptive Learning Rates with Sublinear Memory Cost | https://github.com/DeadAt0m/adafactor-pytorch/blob/561e627239c29c0be11256171a795b49e0404098/adafactor.py#L7 | 733 | [
{
"area": "General",
"area_id": "general",
"collection": "Large Batch Optimization"
},
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/noisy-net | Noisy Linear Layer | Noisy Linear Layer | A **Noisy Linear Layer** is a [linear layer](https://paperswithcode.com/method/linear-layer) with parametric noise added to the weights. This induced stochasticity can be used in reinforcement learning networks for the agent's policy to aid efficient exploration. The parameters of the noise are learned with gradient de... | {
"title": "Noisy Networks for Exploration",
"url": "https://paperswithcode.com/paper/noisy-networks-for-exploration"
} | 2,000 | https://arxiv.org/abs/1706.10295v3 | Noisy Networks for Exploration | null | 11 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Randomized Value Functions"
}
] |
https://paperswithcode.com/method/reduction-b | Reduction-B | Reduction-B | **Reduction-B** is an image model block used in the [Inception-v4](https://paperswithcode.com/method/inception-v4) architecture. | {
"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/kentsommer/keras-inceptionV4/blob/ef1db6f09b6511779c05fab47d374741bc89b5ee/inception_v4.py#L136 | 13 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/faqs-call24-7-how-do-you-call-someone-on | {{FAQs~CALL24/7}}How do you call someone on Royal Caribbean? | {{FAQs~CALL24/7}}How do you call someone on Royal Caribbean? | General Customer Service (US & Canada): +1-855-732-4023 or +1-808-900-8011 . This number can be used for general inquiries, booking changes, and pre-cruise assistance. You can also text this number for post-cruise assistance.
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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/help-usa-what-am-i-entitled-to-if-my-flight | [Help~usa]What am I entitled to if my flight is cancelled? | [Help~usa]What am I entitled to if my flight is cancelled? | If your flight is cancelled ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, you are generally entitled to a refund for the unused portion of your ticket ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, regardless of whether it's a refundable or non-refundable ticket, as long as you decline any alternative offered by the a... | {
"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-helpline-24-7-carnival-cruise-24-hour-1 | [[FAQS-Helpline-24/7]] Carnival cruise 24 hour Customer service? | [[FAQS-Helpline-24/7]] Carnival cruise 24 hour Customer service? | How Do I contact Carnival cruise 24 hour Customer service?
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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-you-transfer-an-air-canada-ticket-to | Can you transfer an Air Canada ticket to someone else? | Can you transfer an Air Canada ticket to someone else? | Changing the entire passenger name is considered a ticket transfer and is not allowed. Still, call +1 (833) 667-0020 Or +44 (203) 970-0065 to ask about cancellation and rebooking. You might be able to cancel for a credit and book a new flight for someone else. +44 (203) 970-0065 will provide all available refund and fa... | {
"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/relic | ReLIC | ReLIC | **ReLIC**, or **Representation Learning via Invariant Causal Mechanisms**, is a self-supervised learning objective that enforces invariant prediction of proxy targets across augmentations through an invariance regularizer which yields improved generalization guarantees.
We can write the objective as:
$$
\unders... | {
"title": "Representation Learning via Invariant Causal Mechanisms",
"url": "https://paperswithcode.com/paper/representation-learning-via-invariant-causal-1"
} | 2,000 | https://arxiv.org/abs/2010.07922v1 | Representation Learning via Invariant Causal Mechanisms | 12 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] | |
https://paperswithcode.com/method/get-us-call-how-do-i-get-a-senior-discount-on | [Get~us~Call] How do I get a senior discount on Alaska Airlines? | [Get~us~Call] How do I get a senior discount on Alaska Airlines? | Alaska Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ does offer senior discounts for passengers 65 and older, but these discounts aren't always prominently displayed online ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ To check for eligibility and secure the best possible fare, it's recommended to contact ☎️+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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/fpg | FPG | Feature Pyramid Grid | **Feature Pyramid Grids**, or **FPG**, is a deep multi-pathway feature pyramid, that represents the feature scale-space as a regular grid of parallel bottom-up pathways which are fused by multi-directional lateral connections. It connects the backbone features, $C$, of a ConvNet with a regular structure of $p$ parallel... | {
"title": "Feature Pyramid Grids",
"url": "https://paperswithcode.com/paper/feature-pyramid-grids"
} | 2,000 | https://arxiv.org/abs/2004.03580v1 | Feature Pyramid Grids | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Feature Pyramid Blocks"
}
] | |
https://paperswithcode.com/method/node2vec | node2vec | node2vec | **node2vec** is a framework for learning graph embeddings for nodes in graphs. Node2vec maximizes a likelihood objective over mappings which preserve neighbourhood distances in higher dimensional spaces. From an algorithm design perspective, node2vec exploits the freedom to define neighbourhoods for nodes and provide a... | {
"title": "node2vec: Scalable Feature Learning for Networks",
"url": "https://paperswithcode.com/paper/node2vec-scalable-feature-learning-for"
} | 2,000 | http://arxiv.org/abs/1607.00653v1 | node2vec: Scalable Feature Learning for Networks | null | 104 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] |
https://paperswithcode.com/method/what-is-the-penalty-for-cancelling-a-flight | |Flights~booked~EX**|Can I change flights booked on Expedia? | |Flights~booked~EX**|Can I change flights booked on Expedia? | Expedia ' cancellation policy allows you to cancel a flight within 24 hours of Booking for a full refund, as long as the departure is at least 7 days away. Cancellations after 24 hours may incur fees. For more details, contact customer care at ☎️+1-(805)-330-(4056) ⌛ or ☎️+1-(805)-330-(4056) ⌛
Can I change my fligh... | {
"title": "0-1 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/faqs-24-7support-what-is-the-phone-number-for-2 | {{FAQs~24/7SupPOrt}}What is the phone number for Royal Caribbean group reservations? | {{FAQs~24/7SupPOrt}}What is the phone number for Royal Caribbean group reservations? | General Customer Service (US & Canada): +1-855-732-4023 or +1-808-900-8011 . This number can be used for general inquiries, booking changes, and pre-cruise assistance. You can also text this number for post-cruise assistance.
Individual Reservations (US & Canada): 1-855-732-4023 or +1-808-900-8011 . Available 7 days... | {
"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/ai-powered-chat-how-do-i-ask-a-question-at | (AI-powered chat)How do I ask a question at Alaska Airlines? | (AI-powered chat)How do I ask a question at Alaska Airlines? | To ask a question at Alaska Airlines <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>>, you have several options. You can use their "Ask Alaska" AI-powered chat assistant on their website, call their customer service line <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>>, or utilize their text-based help center. For immediat... | {
"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/advisor-can-you-get-a-better-deal-by-calling | [[Advisor]]Can you get a better deal by calling Royal Caribbean? | [[Advisor]]Can you get a better deal by calling Royal Caribbean? | You can reachRoyal Caribbean customer serviceby calling their main hotline at +1-855-732-4023 or 1-808-900-8011. If you prefer an alternative, you can also email them at RoyalGuestRelations@rccl.com.
For individual reservations, call 1-855-732-4023 or 1-808-900-8011. They are available Monday-Sunday from 7am-2am (E... | {
"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-cruises-r-way-to-contact-carnival-cruise-1 | [FAQS Cruises®️]➡️Way To contact carnival cruise refund phone number? | [FAQS Cruises®️]➡️Way To contact carnival cruise refund phone number? | How Do I contact Carnival cruise 24 hour Customer service?
Carnival Cruise Line provides 24-hour customer service for
urgent situations and specific programs only+1-855-732-4023, not general inquiries.
Here's how to contact them based on your needs:
For urgent matters, call 1-855-732-4023, available 24/7.
... | {
"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/providing-evidence-how-do-i-file-a-dispute | [Providing~Evidence]How do I file a dispute with Expedia? | [Providing~Evidence]How do I file a dispute with Expedia? | To file a dispute with Expedia, first gather all relevant booking details and supporting documentation. Then, contact Expedia's customer service via phone at +(1)(805)(330)(4056) or +(1)(805)(330)(4056), live chat, or email, explaining the issue and providing evidence. If you don't get a satisfactory resolution, you ca... | {
"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/qs-support-what-is-the-number-for-royal-1 | [[^%QS-Support*&^]]What is the number for Royal Caribbean group reservations? | [[^%QS-Support*&^]]What is the number for Royal Caribbean group reservations? | To make a Royal Caribbean group booking of 8 or more staterooms, call their customer service line at 1-855-732-4023 or 1-808-900-8011. Alternatively, you can work with a local travel advisor. A group number will be assigned during the initial call, according to Royal Caribbean Cruises.
Yes 1-855-732-4023 or 1-808-90... | {
"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/airfrance-r-what-is-the-cheapest-day-to-book | AirFrance®What is the cheapest day to book Air France flights? | AirFrance®What is the cheapest day to book Air France flights? | The cheapest day to book Air France flights is generally Tuesday or Wednesday 1-833-705-0001(US), as airlines often release discounted fares early in the week. Booking flights during midweek can help you find lower prices compared to weekends 1-833-705-0001(US), when demand is higher. For the best deals, aim to book 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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