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/inception-v3 | Inception-v3 | Inception-v3 | **Inception-v3** is a convolutional neural network architecture from the Inception family that makes several improvements including using [Label Smoothing](https://paperswithcode.com/method/label-smoothing), Factorized 7 x 7 convolutions, and the use of an auxiliary classifer to propagate label information lower down t... | {
"title": "Rethinking the Inception Architecture for Computer Vision",
"url": "https://paperswithcode.com/paper/rethinking-the-inception-architecture-for"
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/geomancer | GEOMANCER | Geometric Manifold Component Estimator | **Geomancer** is a nonparametric algorithm for symmetry-based disentangling of data manifolds. It learns a set of subspaces to assign to each point in the dataset, where each subspace is the tangent space of one disentangled submanifold. This means that geomancer can be used to disentangle manifolds for which there may... | {
"title": "Disentangling by Subspace Diffusion",
"url": "https://paperswithcode.com/paper/disentangling-by-subspace-diffusion"
} | 2,000 | https://arxiv.org/abs/2006.12982v2 | Disentangling by Subspace Diffusion | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Manifold Disentangling"
}
] |
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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 Object Detection Models"
}
] |
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"title": "Pixel Recurrent Neural Networks",
"url": "https://paperswithcode.com/paper/pixel-recurrent-neural-networks"
} | 2,000 | http://arxiv.org/abs/1601.06759v3 | Pixel Recurrent Neural Networks | https://github.com/carpedm20/pixel-rnn-tensorflow | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Likelihood-Based Generative Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "Graph Neural Networks with convolutional ARMA filters",
"url": "https://paperswithcode.com/paper/graph-neural-networks-with-convolutional-arma"
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{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
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"title": "An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection",
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
},
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "General",
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"collection": "2D Parallel Distributed Methods"
}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "Miscellaneous Components"
}
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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{
"area": "General",
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
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}
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{
"area": "General",
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{
"area": "General",
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}
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{
"area": "General",
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}
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{
"area": "General",
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{
"area": "General",
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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{
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}
] |
https://paperswithcode.com/method/live-agent-how-do-i-speak-at-someone-on | [{#Live Agent}]How do I speak at someone on Singapore Airlines? | [{#Live Agent}]How do I speak at someone on Singapore Airlines? | "To speak with someone at Singapore Airlines, you have several options:
Phone:
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If you're in the ... | {
"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/does-celebrity-have-a-live-chat-faqs-24 | Does Celebrity have a live chat?{[FAQs~24/7GuidE]} | Does Celebrity have a live chat?{[FAQs~24/7GuidE]} | Days Prior to Cruise Departure and cancellation Charges 1-855-732-4023 USA or +44-289-708-0062 UK: 151 or more days: deposit is refundable except in the case of non- refundable deposit promotions and airfares 1-855-732-4023 USA or +44-289-708-0062 UK. 150-71 days: loss of deposit. 70-46 days: 25% of fare*
To cancel ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-number-for-1 | What is the number for 𝟙-𝟚𝟘𝟞-𝟡𝟚𝟚-𝟘𝟠𝟠𝟘? | What is the number for 𝟙-𝟚𝟘𝟞-𝟡𝟚𝟚-𝟘𝟠𝟠𝟘? | if you're in the U.S., call Expedia customer service at (805) 330-(4056). If you're outside the U.S., call +1 (888) 829-0881. Alternatively, email Expedia at travel@chat.expedia.com or sign into their website and click the Help icon to contact the chatbot.
Expedia's actual phone support number in the United States is ... | {
"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-cancel-my-lufthansa-flight-for-free | [Expedia~Booking~live]]How do I cancel my Expedia booking? | [Expedia~Booking~live]]How do I cancel my Expedia booking? | 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/what-time-does-carnival-cruise-customer | What time does Carnival cruise customer service open? | What time does Carnival cruise customer service open? | Carnival Cruise Line's main customer service line ((855) 732-4023) or 1-808-900-8011 operates with specific hours, but they do offer 24-hour support in certain situations.
Emergencies (for family not traveling with guests): If a true emergency occurs and you need to contact someone on board a Carnival cruise ship, ... | {
"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/faqstm24-free-solution-what-is-the-penalty | [Faqs™24 free~Solution] What is the penalty for cancelling a flight on American Airlines? | [Faqs™24 free~Solution] What is the penalty for cancelling a flight on American Airlines? | The cancellation penalty for American Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ flights depends on the ticket type. Most tickets, including nonrefundable ones, can be canceled without a fee ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, but the original fare may be forfeited as a travel credit. Basic Econo... | {
"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": "Action Recognition Models"
}
] |
https://paperswithcode.com/method/actually-refund-does-expedia-actually-refund | Actually@reFUND--Does Expedia actually refund money? | Actually@reFUND--Does Expedia actually refund money? | 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 ☎️+𝟭-𝟖𝟖𝟖-𝟠𝟚𝟡-𝟬𝟴𝟴𝟭) ⌛ or ☎️++1*805*330*4056) ⌛
Can I change my ... | {
"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/qa-direcy-call-how-do-i-complain-to-qatar | {{QA~Direcy~Call}} How do I complain to Qatar Airways? | {{QA~Direcy~Call}} How do I complain to Qatar Airways? | To file a complaint with Qatar Airways, the best first step is to call ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. When you call ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, request to speak with customer support regarding your issue. Be clear and specific—whether it’s about delays, baggage problems, or poor servi... | {
"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/td-vae | TD-VAE | TD-VAE | **TD-VAE**, or **Temporal Difference VAE**, is a generative sequence model that learns representations containing explicit beliefs about states several steps into the future, and that can be rolled out directly without single-step transitions. TD-VAE is trained on pairs of temporally separated time points, using an ana... | {
"title": "Temporal Difference Variational Auto-Encoder",
"url": "https://paperswithcode.com/paper/temporal-difference-variational-auto-encoder"
} | 2,000 | http://arxiv.org/abs/1806.03107v3 | Temporal Difference Variational Auto-Encoder | null | 2 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Generative Sequence Models"
}
] |
https://paperswithcode.com/method/nt-asgd | NT-ASGD | Non-monotonically Triggered ASGD | **NT-ASGD**, or **Non-monotonically Triggered ASGD**, is an averaged stochastic gradient descent technique.
In regular ASGD, we take steps identical to [regular SGD](https://paperswithcode.com/method/sgd) but instead of returning the last iterate as the solution, we return $\frac{1}{\left(K-T+1\right)}\sum^{T}\_{i=... | {
"title": "Regularizing and Optimizing LSTM Language Models",
"url": "https://paperswithcode.com/paper/regularizing-and-optimizing-lstm-language"
} | 2,000 | http://arxiv.org/abs/1708.02182v1 | Regularizing and Optimizing LSTM Language Models | https://github.com/salesforce/awd-lstm-lm/blob/32fcb42562aeb5c7e6c9dec3f2a3baaaf68a5cb5/main.py#L275 | 6 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/sa-how-do-i-get-a-response-from-spirit | SA-How do i get a response from Spirit Airlines? | SA-How do i get a response from Spirit Airlines? | To get a response from Spirit Airlines, try their 24/7 customer service line at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, utilize the live chat feature on their website or app during operating hours, or engage with them on social media platforms. For faster responses, call during off-peak hours or try social media... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/contact-usa-1-855-732-4023-what-is-the-phone-1 | [[Contact-USA=1-855-732-4023]] What is the phone number for Windstar travel agent? | [[Contact-USA=1-855-732-4023]] What is the phone number for Windstar travel agent? | You can call their dedicated line for travel agent information and reservations at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). This line is available Monday-Friday, 8am-10pm EST; Saturday, 9am-7:30pm EST; and Sunday, 10am-6:30pm EST. You can also reach them via fax at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK).... | {
"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/gcnfn | GCNFN | Graph Convolutional Networks for Fake News Detection | Social media are nowadays one of the main news sources for millions of people around the globe due to their low cost, easy access and rapid dissemination. This however comes at the cost of dubious trustworthiness and significant risk of exposure to 'fake news', intentionally written to mislead the readers. Automaticall... | {
"title": "Fake News Detection on Social Media using Geometric Deep Learning",
"url": "https://paperswithcode.com/paper/fake-news-detection-on-social-media-using"
} | 2,000 | http://arxiv.org/abs/1902.06673v1 | Fake News Detection on Social Media using Geometric Deep Learning | null | 2 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] |
https://paperswithcode.com/method/altclip | AltCLIP | AltCLIP | In this work, we present a conceptually simple and effective method to train a strong bilingual multimodal representation model. Starting from the pretrained multimodal representation model CLIP released by OpenAI, we switched its text encoder with a pretrained multilingual text encoder XLM-R, and aligned both language... | {
"title": "AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities",
"url": "https://paperswithcode.com/paper/altclip-altering-the-language-encoder-in-clip"
} | 2,000 | https://arxiv.org/abs/2211.06679v2 | AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] | |
https://paperswithcode.com/method/calculation-of-price-graphs-reversal-point | Calculation of Price Graphs Reversal Point Using Average Regression Lines Method | Calculation of Price Graphs Reversal Point Using Average Regression Lines Method | Calculation of Price Graphs Reversal Point Using Average Regression Lines Method
Abstract
Forecasting methods from averaging regression analysis lines, reversed and direct lines. With both lines intercepting laid the turning points in direction of original line. The average regression method.
Keywords: average r... | {
"title": "SSRNet: Scalable 3D Surface Reconstruction Network",
"url": "https://paperswithcode.com/paper/tsrnet-scalable-3d-surface-reconstruction"
} | 2,000 | https://arxiv.org/abs/1911.07401v2 | SSRNet: Scalable 3D Surface Reconstruction Network | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Non-Parametric Regression"
}
] |
https://paperswithcode.com/method/cgnn | CGNN | Crystal Graph Neural Network | The full architecture of CGNN is presented at [CGNN's official site](https://tony-y.github.io/cgnn/architectures/). | {
"title": "Crystal Graph Neural Networks for Data Mining in Materials Science",
"url": "https://paperswithcode.com/paper/crystal-graph-neural-networks-for-data-mining"
} | 2,000 | https://www.researchgate.net/publication/333667001_Crystal_Graph_Neural_Networks_for_Data_Mining_in_Materials_Science | Crystal Graph Neural Networks for Data Mining in Materials Science | 12 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
https://paperswithcode.com/method/concrete-dropout | Concrete Dropout | Concrete Dropout | Please enter a description about the method here | {
"title": "Concrete Dropout",
"url": "https://paperswithcode.com/paper/concrete-dropout"
} | 2,000 | http://arxiv.org/abs/1705.07832v1 | Concrete Dropout | null | 14 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
https://paperswithcode.com/method/egt | EGT | Edge-augmented Graph Transformer | Transformer neural networks have achieved state-of-the-art results for unstructured data such as text and images but their adoption for graph-structured data has been limited. This is partly due to the difficulty of incorporating complex structural information in the basic transformer framework. We propose a simple yet... | {
"title": "Global Self-Attention as a Replacement for Graph Convolution",
"url": "https://paperswithcode.com/paper/edge-augmented-graph-transformers-global-self"
} | 2,000 | https://arxiv.org/abs/2108.03348v3 | Global Self-Attention as a Replacement for Graph Convolution | 10 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/what-number-do-i-call-to-cancel-my-royal-1 | What number do I call to cancel my Royal Caribbean cruise? FAQS--Help | What number do I call to cancel my Royal Caribbean cruise? FAQS--Help | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +1-808-900-8011. You can also manage your booking and potentially find cancellation information on their website.
To cancel a Royal Caribbean 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/elr | ELR | Early Learning Regularization | {
"title": "Early-Learning Regularization Prevents Memorization of Noisy Labels",
"url": "https://paperswithcode.com/paper/early-learning-regularization-prevents"
} | 2,000 | https://arxiv.org/abs/2007.00151v2 | Early-Learning Regularization Prevents Memorization of Noisy Labels | null | 7 | [
{
"area": "General",
"area_id": "general",
"collection": "Robust Training"
}
] | |
https://paperswithcode.com/method/pruning | Pruning | Pruning | {
"title": "Pruning Filters for Efficient ConvNets",
"url": "https://paperswithcode.com/paper/pruning-filters-for-efficient-convnets"
} | 2,000 | http://arxiv.org/abs/1608.08710v3 | Pruning Filters for Efficient ConvNets | null | 3,874 | [
{
"area": "General",
"area_id": "general",
"collection": "Model Compression"
}
] | |
https://paperswithcode.com/method/ayuda-oficial-como-llamar-a-american-airlines | [Ayuda oficial]¿Cómo llamar a American Airlines en español? | [Ayuda oficial]¿Cómo llamar a American Airlines en español? | Para llamar a 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬 en español, marca el número de servicio al cliente +1-808-(470)-(7107) (EE. UU.) o al +1-808-(470)-(7107) (México) y selecciona la opción para atención en español. Este servicio está disponible las 24 horas del día, los 7 días de la semana. Puedes realizar reservas, consu... | {
"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/paqs-support-how-to-contact-royal-caribbean | [[PAQs-Support]]How to contact Royal Caribbean by phone for free? | [[PAQs-Support]]How to contact Royal Caribbean by phone for free? | The main customer service number for Royal Caribbean International is +1-855-732-4023 or +1-808-900-8011. If you are calling from outside the U.S. and need to contact someone on board the ship, the number is +1-855-732-4023 or +1-808-900-8011. If you are a Diamond Plus or Pinnacle Club member of the Crown & Anchor Soci... | {
"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/tm-dreams-when-can-i-cancel-my-disney-cruise | (𝗗𝗶𝘀𝗻𝗲𝘆™-Dreams)When can I cancel my Disney Cruise without penalty? | When can I cancel my Disney Cruise without penalty? | (𝗗𝗶𝘀𝗻𝗲𝘆™-Dreams)When can I cancel my Disney Cruise without penalty,+1-(855)-732-4023. You can generally cancel a standard Disney Cruise without penalty if you do so at least 90 days before the cruise's start date for sailings of 5 nights or less +1-(855)-732-4023, or at least 120 days for sailings of 6 nights 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/just-dial-how-to-communicate-with-someone-in | [Just~Dial] How to communicate with someone in Qatar | [Just~Dial] 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 international phone calls or VoIP services like WhatsApp, Skype, or Zoom.☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ When calling directly, dial the Qatar country code followed by the recipient's phone number. For cost-eff... | {
"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/srgan-residual-block | SRGAN Residual Block | SRGAN Residual Block | **SRGAN Residual Block** is a residual block used in the [SRGAN](https://paperswithcode.com/method/srgan) generator for image super-resolution. It is similar to standard [residual blocks](https://paperswithcode.com/method/residual-block), although it uses a [PReLU](https://paperswithcode.com/method/prelu) activation fu... | {
"title": "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network",
"url": "https://paperswithcode.com/paper/photo-realistic-single-image-super-resolution"
} | 2,000 | http://arxiv.org/abs/1609.04802v5 | Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | https://github.com/Lornatang/SRGAN-PyTorch | 34 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
},
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
}
] |
https://paperswithcode.com/method/random-mutation-search | Random Mutation Search | Random Mutation Search | {
"title": "Self-Constructing Neural Networks Through Random Mutation",
"url": "https://paperswithcode.com/paper/self-constructing-neural-networks-through"
} | 2,000 | https://arxiv.org/abs/2103.15692v1 | Self-Constructing Neural Networks Through Random Mutation | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Neural Architecture Search"
}
] | |
https://paperswithcode.com/method/faqs-24-7-how-do-i-contact-celebrity-cruises | {FAQs~!24/7!!}How do I contact Celebrity Cruises customer service? | {FAQs~!24/7!!}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/associative-lstm | Associative LSTM | Associative LSTM | An **Associative LSTM** combines an [LSTM](https://paperswithcode.com/method/lstm) with ideas from Holographic Reduced Representations (HRRs) to enable key-value storage of data. HRRs use a “binding” operator to implement key-value
binding between two vectors (the key and its associated content). They natively impleme... | {
"title": "Associative Long Short-Term Memory",
"url": "https://paperswithcode.com/paper/associative-long-short-term-memory"
} | 2,000 | http://arxiv.org/abs/1602.03032v2 | Associative Long Short-Term Memory | null | 1 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Recurrent Neural Networks"
}
] |
https://paperswithcode.com/method/imagemorph | imagemorph | Random elastic image morphing | M. Bulacu, A. Brink, T. v. d. Zant and L. Schomaker, "Recognition of Handwritten Numerical Fields in a Large Single-Writer Historical Collection," 2009 10th International Conference on Document Analysis and Recognition, Barcelona, Spain, 2009, pp. 808-812, doi: 10.1109/ICDAR.2009.8.
Code: https://github.com/GrHound/... | null | 2,000 | null | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/rocket | ROCKET | Random Convolutional Kernel Transform | Linear classifier using random convolutional kernels applied to time series. | {
"title": "ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels",
"url": "https://paperswithcode.com/paper/rocket-exceptionally-fast-and-accurate-time"
} | 2,000 | https://arxiv.org/abs/1910.13051v1 | ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels | null | 79 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Time Series Analysis"
}
] |
https://paperswithcode.com/method/how-do-i-check-my-carnival-cruise-reservation-3 | How do I check my Carnival Cruise reservation?➡️Future Cruise Credits | How do I check my Carnival Cruise reservation?➡️Future Cruise Credits | Way to contact carnival cruise cancellation phone number?
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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/cam | CAM | Class-activation map | Class activation maps could be used to interpret the prediction decision made by the convolutional neural network (CNN).
Image source: [Learning Deep Features for Discriminative Localization](https://paperswithcode.com/paper/learning-deep-features-for-discriminative) | {
"title": "Is Object Localization for Free? - Weakly-Supervised Learning With Convolutional Neural Networks",
"url": "https://paperswithcode.com/paper/is-object-localization-for-free-weakly"
} | 2,000 | http://openaccess.thecvf.com/content_cvpr_2015/html/Oquab_Is_Object_Localization_2015_CVPR_paper.html | Is Object Localization for Free? - Weakly-Supervised Learning With Convolutional Neural Networks | 267 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
},
{
"area": "General",
"area_id": "general",
"collection": "Interpretability"
}
] | |
https://paperswithcode.com/method/24-ways-to-contact-viking-river-cruise | 24 Ways to Contact Viking River Cruise Customer Service by Phone, Live chat and Email Detailed: A Step by Step Guide | 24 Ways to Contact Viking River Cruise Customer Service by Phone, Live chat and Email Detailed: A Step by Step Guide | 23 Ways to Speak Viking River Cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide
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"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"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/how-to-contact-robinhood-immediately-by-phone-3 | How to Contact Robinhood Immediately by Phone? Just Dial +1-844-610-2676 Right Now—Support Is Waiting! | How to Contact Robinhood Immediately by Phone? Just Dial +1-844-610-2676 Right Now—Support Is Waiting! | If you’re stuck on Robinhood, don’t waste a +1-844-610-2676 second—grab your phone and dial +1-844-610-2676. Yes, +1-844-610-2676 is your direct gateway to live, expert help. From login trouble to withdrawal delays, trade glitches to verification errors—+1-844-610-2676 connects you to a real human, not a robot. No more... | {
"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 Reconstruction"
}
] |
https://paperswithcode.com/method/golu | GoLU | Gompertz Linear Unit | Activation functions are fundamental elements of deep learning architectures as they significantly influence training dynamics. ReLU, while widely used, is prone to the dying neuron problem, which has been mitigated by variants such as LeakyReLU, PReLU, and ELU that better handle negative neuron outputs. Recently, self... | null | 2,000 | null | null | https://github.com/automl/GoLU | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Representation Learning"
},
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/connect-now-when-can-you-book-american | CONNECT~~NOW~~When can you book American Airlines flights? | CONNECT~~NOW~~When can you book American Airlines flights? | American Airlines typically responds to general inquiries within 24 to 48 hours via their website☎📞 +1 (804) 853-9001 or email. For formal complaints,☎📞 +1(801) 855-5905 the response time is usually 7 to 10 business days,☎📞 +1(801) 855-5905 but this can vary depending on the complexity of the issue. For faster resol... | {
"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/23-ways-to-speak-viking-river-cruise-customer | 23 Ways to Speak Viking River Cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 23 Ways to Speak Viking River Cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 23 Ways to Speak Viking River Cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide
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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/meuzz | MEUZZ | MEUZZ | **MEUZZ** is a machine learning-based hybrid fuzzer which employs supervised machine learning for adaptive and generalizable seed scheduling -- a prominent factor in determining the yields of hybrid fuzzing. MEUZZ determines which new seeds are expected to produce better fuzzing yields based on the knowledge learned fr... | {
"title": "MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing",
"url": "https://paperswithcode.com/paper/meuzz-smart-seed-scheduling-for-hybrid"
} | 2,000 | https://arxiv.org/abs/2002.08568v2 | MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Hybrid Fuzzing"
},
{
"area": "General",
"area_id": "general",
"collection": "Hybrid Optimization"
}
] |
https://paperswithcode.com/method/adafisher | AdaFisher | Adaptive Second Order Optimization via Fisher Information | AdaFisher – an adaptive second-order optimizer that leverages a block-diagonal approximation to the Fisher information matrix for adaptive gradient preconditioning. | {
"title": "AdaFisher: Adaptive Second Order Optimization via Fisher Information",
"url": "https://paperswithcode.com/paper/adafisher-adaptive-second-order-optimization"
} | 2,000 | https://arxiv.org/abs/2405.16397v3 | AdaFisher: Adaptive Second Order Optimization via Fisher Information | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/iou-guided-nms | IoU-guided NMS | IoU-guided NMS | **IoU-guided NMS** is a type of non-maximum suppression that help to eliminate the suppression failure caused by the misleading classification confidences. This is achieved through using the predicted IoU instead of the classification confidence as the ranking keyword for bounding boxes. | {
"title": "Acquisition of Localization Confidence for Accurate Object Detection",
"url": "https://paperswithcode.com/paper/acquisition-of-localization-confidence-for"
} | 2,000 | http://arxiv.org/abs/1807.11590v1 | Acquisition of Localization Confidence for Accurate Object Detection | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Proposal Filtering"
}
] |
https://paperswithcode.com/method/1-855-298-9557-what-is-the-venmo-atm | +1 (855) 298-9557 What is the Venmo ATM withdrawal limit? | +1 (855) 298-9557 What is the Venmo ATM withdrawal limit? | +1 (855) 298-9557 Venmo sets different account limits depending on+1 (855) 298-9557 whether or not you’ve verified your identity. For questions about your personal limit, call +1 (855) 298-9557. Unverified users typically have a sending limit of $299.99 per week. To confirm your current cap and learn how to increase it... | {
"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": "6D Pose Estimation Models"
}
] |
https://paperswithcode.com/method/vpsnet | VPSNet | Video Panoptic Segmentation Network | **Video Panoptic Segmentation Network**, or **VPSNet**, is a model for video panoptic segmentation. On top of UPSNet, which is a method for image panoptic segmentation, VPSNet is designed to take an additional frame as the reference to correlate time information at two levels: pixel-level fusion and object-level tracki... | {
"title": "Video Panoptic Segmentation",
"url": "https://paperswithcode.com/paper/video-panoptic-segmentation-1"
} | 2,000 | https://arxiv.org/abs/2006.11339v1 | Video Panoptic Segmentation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Video Panoptic Segmentation Models"
}
] |
https://paperswithcode.com/method/faqs-anytimetm-how-to-cancel-a-cruise-without | [FaQs``Anytime™]How to cancel a cruise without penalty? | [FaQs``Anytime™]How to cancel a cruise without penalty? | Currently most cruise lines let you cancel without penalty, sometimes up to 24--48 hours before departure. Most will give either future travel credit +1-(855)-732-4023 , sometimes as much as 125% of what you paid, or give you a full refund. This is during the coronavirus period.+1-808-900-8011
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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 Reconstruction"
}
] |
https://paperswithcode.com/method/22-ways-to-contact-seabourn-cruise | 22 Ways to Contact Seabourn Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | 22 Ways to Contact Seabourn Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | Seabourn Cruise Cancellation Policy – Full Guide for Stress-Free Travel Changes
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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 Reconstruction"
}
] |
https://paperswithcode.com/method/synann | SynaNN | Synaptic Neural Network | A Synaptic Neural Network (SynaNN) consists of synapses and neurons. Inspired by the synapse research of neuroscience, we built a synapse model with a nonlinear and log-concave synapse function of excitatory and inhibitory probabilities of channels. | {
"title": "A Synaptic Neural Network and Synapse Learning",
"url": "https://paperswithcode.com/paper/a-synaptic-neural-network-and-synapse"
} | 2,000 | https://openreview.net/forum?id=ryGpEiAcFQ | A Synaptic Neural Network and Synapse Learning | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Neural Architecture Search"
}
] |
https://paperswithcode.com/method/dyged | DyGED | Dynamic Graph Event Detection | {
"title": "Event Detection on Dynamic Graphs",
"url": "https://paperswithcode.com/paper/event-detection-on-dynamic-graphs"
} | 2,000 | https://arxiv.org/abs/2110.12148v2 | Event Detection on Dynamic Graphs | null | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Representation Learning"
}
] | |
https://paperswithcode.com/method/trip-travel-how-do-i-talk-to-someone-at | [Trip&Travel] How do I talk to someone at Breeze? | [Trip&Travel] How do I talk to someone at Breeze? | While we don't have a phone number to call, you can text us at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, message us through in-app chat, or click the Contact Us Now button at the bottom of this page. Messaging & data rates may apply ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. Text STOP to opt-out at any time. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/touch-with-live-person-how-do-i-ask-a | Touch with Live Person"How do I ask a question at Alaska Airlines? | Touch with Live Person"How do I ask a question at Alaska Airlines? | “To contact a live representative at Alaska Airlines, + 𝟭-𝟴𝟬𝟭-𝟴𝟱𝟱-𝟱𝟵𝟬𝟱. call their 24/7 customer service hotline at （+ 𝟭-𝟴𝟬𝟭-𝟴𝟱𝟱-𝟱𝟵𝟬𝟱.) Or (+ 𝟭-𝟴𝟬𝟭-𝟴𝟱𝟱-𝟱𝟵𝟬𝟱.)） or 1-800-Alaska . You can also use their website's live chat or email for assistance.To inquire your queries or to ask your 𝘲u... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-a-how-to-get-american-airlines-to | ((FAQs*A))How to get American Airlines to respond? | ((FAQs*A))How to get American Airlines to respond? | To get a response from American Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ the fastest method is typically through their live chat feature or by calling their customer service hotline. For less urgent matters,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can use their online Customer Relations form or 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/scse | Concurrent Spatial and Channel Squeeze & Excitation | Concurrent Spatial and Channel Squeeze & Excitation (scSE) | Combines the channel attention of the widely known [spatial squeeze and channel excitation (SE)](https://paperswithcode.com/method/squeeze-and-excitation-block) block and the spatial attention of the [channel squeeze and spatial excitation (sSE)](https://paperswithcode.com/method/channel-squeeze-and-spatial-excitation#... | {
"title": "Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks",
"url": "https://paperswithcode.com/paper/recalibrating-fully-convolutional-networks"
} | 2,000 | http://arxiv.org/abs/1808.08127v1 | Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks | https://github.com/qubvel/segmentation_models.pytorch/blob/a6e1123983548be55d4d1320e0a2f5fd9174d4ac/segmentation_models_pytorch/base/modules.py#L50 | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] |
https://paperswithcode.com/method/how-do-i-cancel-a-reservation-on-allegiant | How do I cancel a reservation on Allegiant? | How do I cancel a reservation on Allegiant? | To cancel a reservation on Allegiant, visit allegiantair.com and log in to Manage Travel using your confirmation number 1-833-705-0001(US) and email. Select your trip, then choose “Cancel Reservation.” If eligible, you may receive a credit voucher for future travel 1-833-705-0001(US). Allegiant’s Trip Flex option allow... | {
"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/1d-cnn | 1D CNN | 1-Dimensional Convolutional Neural Networks | 1D Convolutional Neural Networks are similar to well known and more established 2D Convolutional Neural Networks. 1D Convolutional Neural Networks are used mainly used on text and 1D signals. | {
"title": "Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs",
"url": "https://paperswithcode.com/paper/convolutional-neural-network-and-rule-based"
} | 2,000 | https://www.researchgate.net/publication/348288032_Convolutional_Neural_Network_and_Rule-Based_Algorithms_for_Classifying_12-lead_ECGs | Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs | null | 92 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] |
https://paperswithcode.com/method/disp-r-cnn | Disp R-CNN | Disp R-CNN | **Disp R-CNN** is a 3D object detection system for stereo images. It utilizes an instance disparity estimation network (iDispNet) that predicts disparity only for pixels on objects of interest and learns a category-specific shape prior for more accurate disparity estimation. To address the challenge from scarcity of di... | {
"title": "Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation",
"url": "https://paperswithcode.com/paper/disp-r-cnn-stereo-3d-object-detection-via"
} | 2,000 | https://arxiv.org/abs/2004.03572v1 | Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/graphsage | GraphSAGE | GraphSAGE | GraphSAGE is a general inductive framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data.
Image from: [Inductive Representation Learning on Large Graphs](https://arxiv.org/pdf/1706.02216v4.pdf) | {
"title": "Inductive Representation Learning on Large Graphs",
"url": "https://paperswithcode.com/paper/inductive-representation-learning-on-large"
} | 2,000 | http://arxiv.org/abs/1706.02216v4 | Inductive Representation Learning on Large Graphs | 132 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
https://paperswithcode.com/method/faqs-helpline-how-do-i-contact-carnival-about | [[FAQS-Helpline]] How do I contact Carnival about booking? ➡️ | [[FAQS-Helpline]] How do I contact Carnival about booking? ➡️ | Way to contact carnival cruise cancellation phone number?
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/way-to-contact-seabourn-cruise-cancellation | Way to Contact Seabourn cruise cancellation by phone,chat number | Way to Contact Seabourn cruise cancellation by phone,chat number | The main phone number to contact Seabourn Cruise Line for cancellations is+1-(855)-732-4023. Important Notes:This number is also the general customer service line for North America If you booked your cruise through a travel agent,+1-(855)-732-4023. you must contact them directly to handle the cancellation. +1-(855)-73... | {
"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/way-to-connect-how-do-i-connect-with-someone | 【Way_To_ConnecT】How do I connect with someone on Qatar Airways? | 【Way_To_ConnecT】How do I connect with someone on Qatar Airways? | To connect with someone at Qatar Airways, ☎️+1-801-(855)-(5905)or +1-804-853-9001✅✈️ you can contact their customer service team via phone, live chat, email, or social media ☎️+1-801-(855)-(5905)or +1-804-853-9001✅✈️ The fastest way to speak with a live agent is by calling their customer support number ☎️+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/come-chiamare-gratuitamente-ryanair-chiama-il | Come chiamare gratuitamente Ryanair? "chiama il numero gratuito" | Come chiamare gratuitamente Ryanair? "chiama il numero gratuito" | Per contattare gratuitamente Ryanair dall’Italia, chiama il numero di riferimento del servizio clienti: (+39) 0298-847-432. Un operatore ti assisterà con qualsiasi richiesta relativa ai tuoi voli: cambi di data, check-in online, bagagli smarriti o modifiche dell’itinerario. Il servizio è (+39) 0298-847-432 disponibile ... | {
"title": "1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020",
"url": "https://paperswithcode.com/paper/1st-place-solution-for-ava-kinetics-crossover"
} | 2,000 | https://arxiv.org/abs/2006.09116v1 | 1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020 | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/quick-connect-contact-us-how-do-i-connect | 【quick_connect】 !!Contact~us!!How do I connect with someone on Qatar Airways? | 【quick_connect】 !!Contact~us!!How do I connect with someone on Qatar Airways? | To connect with someone at Qatar Airways, ☎️+1-801-(855)-(5905)or +1-804-853-9001✅✈️ you can contact their customer service team via phone, live chat, email, or social media ☎️+1-801-(855)-(5905)or +1-804-853-9001✅✈️ The fastest way to speak with a live agent is by calling their customer support number ☎️+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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/what-is-the-phone-number-for-royal-caribbean-7 | What is the phone number for Royal Caribbean cancel? FAQS--Solution | What is the phone number for Royal Caribbean cancel? FAQS--Solution | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +1-808-900-8011. You can also manage your booking and potentially find cancellation information on their website.
To cancel a Royal Caribbean 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/12-ways-to-speak-to-msc-cruise-cancellation | 12 Ways to Speak to MSC cruise cancellation by Phone, Chat, and Email.com | 12 Ways to Speak to MSC cruise cancellation by Phone, Chat, and Email.com | MSC Cruises offers extra flexibility for some guests through their “Cruise with Confidence” initiative +1-(855)-732-4023, which may allow cancellations up to 48 hours prior to sailing. Cancel at least 48 hours before departure +1-808-900-8011 and receive a Future Cruise Credit for 100% of the paid value. | {
"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/convolution | Convolution | Convolution | A **convolution** is a type of matrix operation, consisting of a kernel, a small matrix of weights, that slides over input data performing element-wise multiplication with the part of the input it is on, then summing the results into an output.
Intuitively, a convolution allows for weight sharing - reducing the numb... | null | 1,980 | null | null | 19,588 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] | |
https://paperswithcode.com/method/tdn | TDN | Temporaral Difference Network | **TDN**, or **Temporaral Difference Network**, is an action recognition model that aims to capture multi-scale temporal information. To fully capture temporal information over the entire video, the TDN is established with a two-level difference modeling paradigm. Specifically, for local motion modeling, temporal differ... | {
"title": "TDN: Temporal Difference Networks for Efficient Action Recognition",
"url": "https://paperswithcode.com/paper/tdn-temporal-difference-networks-for"
} | 2,000 | https://arxiv.org/abs/2012.10071v2 | TDN: Temporal Difference Networks for Efficient Action Recognition | null | 8 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Action Recognition Models"
}
] |
https://paperswithcode.com/method/how-to-reserve-a-seat-in-etihad-airways | How to reserve a seat in Etihad Airways? | How to reserve a seat in Etihad Airways? | To reserve a seat on Etihad Airways, visit etihad.com, log in to "Manage My Booking" using your booking reference and last name 1-833-705-0001(US)/+44 (20) 39003980(UK). Seat selection is available during booking, check-in, or through the mobile app. Economy passengers can choose standard or extra legroom seats for a f... | {
"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/step-by-step-guide-does-copa-airlines-have-a | 【Step-by-Step Guide】Does Copa Airlines have a free cancellation policy? | 【Step-by-Step Guide】Does Copa Airlines have a free cancellation policy? | Copa Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ does offer a 24-hour risk-free cancellation policy for tickets purchased at least 7 days before the flight's departure date ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. This means you can cancel your reservation within 24 hours of booking and receive a full ... | {
"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/taa-faqs-how-do-i-talk-to-a-directly-at | {{[TAA/FAQ’s]}} How do I talk to a directly At directly At American airlines representative? | {{[TAA/FAQ’s]}} How do I talk to a directly At directly At American airlines representative? | 𝒒𝒖𝒊𝒄𝒌𝒍𝒚 𝒄𝒐𝒏𝒏𝒆𝒄𝒕 𝒘𝒊𝒕𝒉 𝒂 𝒍𝒊𝒗𝒆 𝒓𝒆𝒑𝒓𝒆𝒔𝒆𝒏𝒕𝒂𝒕𝒊𝒗𝒆 𝒂𝒕 American 𝑨𝒊𝒓𝒍𝒊𝒏𝒆𝒔, 𝒄𝒂𝒍𝒍 𝒄𝒖𝒔𝒕𝒐𝒎𝒆𝒓 𝒔𝒆𝒓𝒗𝒊𝒄𝒆 𝒂𝒕 +𝟙-𝟠𝟘𝟜-::𝟠𝟝𝟛-::𝟡𝟘𝟘𝟙. 𝒐𝒓 +𝟙-𝟠𝟘𝟜-::𝟠𝟝𝟛-::𝟡𝟘𝟘𝟙. (𝑶𝑻𝑨) 𝒕𝒉𝒓𝒐𝒖𝒈𝒉 𝒂𝒏 𝑶𝒏𝒍𝒊𝒏𝒆 𝑻𝒓𝒂𝒗𝒆𝒍 𝑨𝒈𝒆𝒏𝒄𝒚 (𝑶𝑻𝑨) 𝒂𝒕 +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/contact-usa-24-7-hours-how-do-i-call-royal | [[Contact-USA 24/7 Hours]]How do I call Royal Caribbean customer service? | [[Contact-USA 24/7 Hours]]How do I call Royal Caribbean customer service? | The main customer service number for Royal Caribbean International is +1-855-732-4023 or +1-808-900-8011. If you are calling from outside the U.S. and need to contact someone on board the ship, the number is +1-855-732-4023 or +1-808-900-8011. If you are a Diamond Plus or Pinnacle Club member of the Crown & Anchor Soci... | {
"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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