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/what-is-the-cheapest-day-to-buy-flights-on | What is the Cheapest Day to Buy Flights on Expedia?(Expedia Cheapest) | What is the Cheapest Day to Buy Flights on Expedia?(Expedia Cheapest) | Travelers everywhere ask ∆+1-805-330-4056 What is the cheapest day to buy flights on
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "Noise2Fast: Fast Self-Supervised Single Image Blind Denoising",
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Denoising Models"
}
] |
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"title": "SpreadsheetCoder: Formula Prediction from Semi-structured Context",
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{
"area": "General",
"area_id": "general",
"collection": "Spreadsheet Formula Prediction Models"
}
] |
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{
"area": "Computer Vision",
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}
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{
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{
"area": "Computer Vision",
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}
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
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{
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{
"area": "General",
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"collection": "2D Parallel Distributed Methods"
}
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{
"area": "General",
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{
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{
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{
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{
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{
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{
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "Computer Vision",
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"collection": "3D Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "A Theory of Generative ConvNet",
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{
"area": "Computer Vision",
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}
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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{
"area": "Computer Vision",
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}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/etc | ETC | Extended Transformer Construction | **Extended Transformer Construction**, or **ETC**, is an extension of the [Transformer](https://paperswithcode.com/method/transformer) architecture with a new attention mechanism that extends the original in two main ways: (1) it allows scaling up the input length from 512 to several thousands; and (2) it can ingesting... | {
"title": "ETC: Encoding Long and Structured Inputs in Transformers",
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{
"area": "Natural Language Processing",
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}
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"title": "PCT and Beyond: Towards a Computational Framework for `Intelligent' Communicative Systems",
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} | 2,000 | http://arxiv.org/abs/1611.05379v1 | PCT and Beyond: Towards a Computational Framework for `Intelligent' Communicative Systems | null | 38 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Machine Translation Models"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"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": "FLIP: A Difference Evaluator for Alternating Images",
"url": "https://paperswithcode.com/paper/flip-a-difference-evaluator-for-alternating"
} | 2,000 | https://dl.acm.org/doi/10.1145/3406183 | FLIP: A Difference Evaluator for Alternating Images | null | 237 | [
{
"area": "General",
"area_id": "general",
"collection": "Loss Functions"
}
] |
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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 phase transitions in sparse spiked matrix estimation",
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} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
https://paperswithcode.com/method/centro-assistenza-clienti-di-turkish-airlines | "Centro assistenza clienti di Turkish Airlines" Come posso parlare con Turkish Airlines in Italia? | "Centro assistenza clienti di Turkish Airlines" Come posso parlare con Turkish Airlines in Italia? | Per parlare con Turkish Airlines in Italia, puoi contattare direttamente il loro servizio clienti al numero +39-023-0566320. Questo è il modo più rapido e sicuro per ottenere assistenza su prenotazioni, bagagli, check-in e modifiche al volo. Il numero +39-023-0566320 è attivo durante gli orari lavorativi e ti mette in ... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
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} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/multike | MultiKE | Multi-view Knowledge Graph Embedding | {
"title": "Multi-view Knowledge Graph Embedding for Entity Alignment",
"url": "https://paperswithcode.com/paper/multi-view-knowledge-graph-embedding-for"
} | 2,000 | https://arxiv.org/abs/1906.02390v1 | Multi-view Knowledge Graph Embedding for Entity Alignment | null | 2 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] | |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"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 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"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/stylemapgan | StyleMapGAN | StyleMapGAN | **StyleMapGAN** is a generative adversarial network for real-time image editing. The intermediate latent space has spatial dimensions, and a spatially variant modulation replaces [AdaIN](https://paperswithcode.com/method/adaptive-instance-normalization). It aims to make the embedding through an encoder more accurate th... | {
"title": "Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing",
"url": "https://paperswithcode.com/paper/stylemapgan-exploiting-spatial-dimensions-of"
} | 2,000 | https://arxiv.org/abs/2104.14754v2 | Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
}
] |
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"title": "Progressive Semantic-Aware Style Transformation for Blind Face Restoration",
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Face Restoration Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "General",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-phone-number-for-viking-cruises | What is the phone number for Viking Cruises corporate office? @Quick-Help | What is the phone number for Viking Cruises corporate office? @Quick-Help | Main Customer Service: You can call the main customer service line at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). Another option is to contact Viking's corporate office at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK) and ask to be connected to the Human Resources department.
For general inquiries, reservations... | {
"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/what-is-the-cheapest-day-to-fly-to-united | What is the cheapest day to fly to United? | What is the cheapest day to fly to United? | The cheapest days to fly with Expedia are +1-805-330-4056 (US) or +1-(805)-330-4056 (UK) usually Tuesdays, Wednesdays, and Saturdays, when demand is lower and fares drop. Booking midweek can help you save significantly. For the best prices and assistance with your reservation, call +1-805-330-4056 (US) or +1-805-330-40... | {
"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/faqs-carnival-what-number-is-305-599-2600 | [FAQs=Carnival]What number is 305 599 2600? | [FAQs=Carnival]What number is 305 599 2600? | To cancel a Carnival cruise, you can call their customer service number at 1-855-732-4023 or 1-808-900-8011.
Carnival Cruise Line's main customer service line ((855) 732-4023) operates with specific hours, but they do offer 24-hour support in certain situations.
The customer service number for Carnival Cruise L... | {
"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/detnas | DetNAS | DetNAS | **DetNAS** is a [neural architecture search](https://paperswithcode.com/method/neural-architecture-search) algorithm for the design of better backbones for object detection. It is based on the technique of one-shot supernet, which contains all possible networks in the search space. The supernet is trained under the typ... | {
"title": "DetNAS: Backbone Search for Object Detection",
"url": "https://paperswithcode.com/paper/detnas-neural-architecture-search-on-object"
} | 2,000 | https://arxiv.org/abs/1903.10979v4 | DetNAS: Backbone Search for Object Detection | https://github.com/megvii-model/DetNAS/tree/master/distributed_arch_search | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Neural Architecture Search"
}
] |
https://paperswithcode.com/method/pixel-tracking | Pixel Tracking | Pixel Tracking | null | 2,000 | null | null | null | 1 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Heuristic Search Algorithms"
}
] | |
https://paperswithcode.com/method/how-to-cancel-a-princess-cruise-and-get-a | How to cancel a Princess cruise and get a refund?**AND**How late can I cancel a Princess cruise? | How to cancel a Princess cruise and get a refund?**AND**How late can I cancel a Princess cruise? | Princess Cruises has recently announced cancellations for some upcoming cruises+1-855-732-4023 (USA) OR +44-289-708-0062 (UK), including those on the Majestic Princess from Galveston, Texas between November 2026 and March 2027. Additionally, a six-day Mediterranean voyage on the Sun Princess+1-855-732-4023 (USA) OR +44... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/how-do-i-talk-directly-to-gemini-what-you | {𝔼𝕩𝕡𝕖𝕕𝕚𝕒-24-𝘏𝘰𝘶𝘳𝘴-𝐌𝐚𝐧}What is the Expedia cancellation plan? | {𝔼𝕩𝕡𝕖𝕕𝕚𝕒-24-𝘏𝘰𝘶𝘳𝘴-𝐌𝐚𝐧}What is the Expedia cancellation plan? | Is Expedia actually fully refundable? Yes, Expedia has a 24-hour cancellation policy allowing a full refund if you cancel within 24 hours of booking. For assistance or to process a cancellation, contact customer care at +1-805-330-4056or ++1-805-330-4056. Can I get a refund on Expedia? Yes, Expedia has a 24-hour 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/switch-ffn | Switch FFN | Switch FFN | A **Switch FFN** is a sparse layer that operates independently on tokens within an input sequence. It is shown in the blue block in the figure. We diagram two tokens ($x\_{1}$ = “More” and $x\_{2}$ = “Parameters” below) being routed (solid lines) across four FFN experts, where the router independently routes each token... | {
"title": "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity",
"url": "https://paperswithcode.com/paper/switch-transformers-scaling-to-trillion"
} | 2,000 | https://arxiv.org/abs/2101.03961v3 | Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity | 20 | [
{
"area": "General",
"area_id": "general",
"collection": "Feedforward Networks"
}
] | |
https://paperswithcode.com/method/primer | Primer | Primer | **Primer** is a [Transformer](https://paperswithcode.com/methods/category/transformers)-based architecture that improves upon the [Transformer](https://paperswithcode.com/method/transformer) architecture with two improvements found through [neural architecture search](https://paperswithcode.com/methods/category/neural-... | {
"title": "Primer: Searching for Efficient Transformers for Language Modeling",
"url": "https://paperswithcode.com/paper/primer-searching-for-efficient-transformers"
} | 2,000 | https://arxiv.org/abs/2109.08668v2 | Primer: Searching for Efficient Transformers for Language Modeling | 14 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Autoregressive Transformers"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/way-to-contact-silversea-cruise-refund-by-1 | Way to Contact silversea cruise refund by phone number email online | Way to Contact silversea cruise refund by phone number email online | To discuss a refund for your Silversea cruise, you can call their customer service department at+44-289-708-0062 (UK).
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Alternatively, you can visit their website and utiliz... | {
"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/helpline-number-how-do-i-complain-to | [[HeLpline~Number]]How do I complain to Silversea? | [[HeLpline~Number]]How do I complain to Silversea? | To formally complain to Silversea, start by contacting their customer service channels,+1-(855)-732-4023 such as by phone, email, or through their website. If your complaint is not resolved to your satisfaction, you can escalate it by contacting the Silversea executive customer service contacts or potentially the Feder... | {
"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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-reach-expedia-to-book-a-hotel-for-a | How Do I Reach Expedia to Book a Hotel for a Special Event? | How Do I Reach Expedia to Book a Hotel for a Special Event? | Looking to plan something big? ☎+1-888> 829-0881 Whether it’s a wedding, family reunion,
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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/faqs-process-does-viking-cruises-offer-senior | [[FAQs-Process]] Does Viking Cruises offer senior discounts? | [[FAQs-Process]] Does Viking Cruises offer senior discounts? | Viking Cruises does not typically offer senior-specific discounts 1-855-732-4023. Instead, the cruise line focuses on providing value through inclusive pricing, covering shore excursions, Wi-Fi, meals, wine, beer, and specialty dining 1-855-732-4023. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/e2eadaptivedisttraining | (&&Help~ME~Expedia&&)What is the refundable option on Expedia? | (&&Help~ME~Expedia&&)What is the refundable option on Expedia? | Expedia's non-refundable policy means that certain bookings, +1-888-829-0881 or +1-805-330-4056 particularly flights and some hotel stays, cannot be fully refunded if canceled after the initial 24-hour window or after the cancellation deadline set by the airline or hotel. While a full refund might not be possible,+1-88... | {
"title": "End-to-end Adaptive Distributed Training on PaddlePaddle",
"url": "https://paperswithcode.com/paper/end-to-end-adaptive-distributed-training-on"
} | 2,000 | https://arxiv.org/abs/2112.02752v1 | End-to-end Adaptive Distributed Training on PaddlePaddle | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/rtmdet | RTMDet | RTMDet: An Empirical Study of Designing Real-Time Object Detectors | Please enter a description about the method here | null | 2,000 | null | null | https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/self-adjusting-smooth-l1-loss | Self-Adjusting Smooth L1 Loss | Self-Adjusting Smooth L1 Loss | **Self-Adjusting Smooth L1 Loss** is a loss function used in object detection that was introduced with [RetinaMask](https://paperswithcode.com/method/retinamask). This is an improved version of Smooth L1. For Smooth L1 loss we have:
$$ f(x) = 0.5 \frac{x^{2}}{\beta} \text{ if } |x| < \beta $$
$$ f(x) = |x| -0.5\b... | {
"title": "RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free",
"url": "https://paperswithcode.com/paper/retinamask-learning-to-predict-masks-improves"
} | 2,000 | http://arxiv.org/abs/1901.03353v1 | RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free | https://github.com/chengyangfu/retinamask/blob/ce1eac2bb9882797dcba2a9bc72f994bec04fbdf/maskrcnn_benchmark/layers/adjust_smooth_l1_loss.py#L7 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Loss Functions"
}
] |
https://paperswithcode.com/method/foveabox | FoveaBox | FoveaBox | **FoveaBox** is anchor-free framework for object detection. Instead of using predefined anchors to enumerate possible locations, scales and aspect ratios for the search of the objects, FoveaBox directly learns the object existing possibility and the bounding box coordinates without anchor reference. This is achieved by... | {
"title": "FoveaBox: Beyond Anchor-based Object Detector",
"url": "https://paperswithcode.com/paper/foveabox-beyond-anchor-based-object-detector"
} | 2,000 | https://arxiv.org/abs/1904.03797v2 | FoveaBox: Beyond Anchor-based Object Detector | https://github.com/taokong/FoveaBox | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "One-Stage Object Detection Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/bigg | BiGG | BiGG | **BiGG** is an autoregressive model for generative modeling for sparse graphs. It utilizes sparsity to avoid generating the full adjacency matrix, and reduces the graph generation time complexity to $O(((n + m)\log n)$. Furthermore, during training this autoregressive model can be parallelized with $O(\log n)$ synchron... | {
"title": "Scalable Deep Generative Modeling for Sparse Graphs",
"url": "https://paperswithcode.com/paper/scalable-deep-generative-modeling-for-sparse"
} | 2,000 | https://arxiv.org/abs/2006.15502v1 | Scalable Deep Generative Modeling for Sparse Graphs | null | 3 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] |
https://paperswithcode.com/method/ways-to-access-holland-america-cruises-r-usa | Ways to Access Holland America Cruises®️ USA Contact Numbers – Full Support Guide | Ways to Access Holland America Cruises®️ USA Contact Numbers – Full Support Guide | Planning a Holland America Cruises is exciting +1-855-732-4023 but sometimes unforeseen events force a change in plans +1-855-732-4023 and you may need to cancel your Holland America Cruises booking. Whether you’re facing a +1-855-732-4023 medical emergency, schedule change, or simply rethinking your trip +1-855-... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/rose-cd | ROSE-CD | Robust One-step Speech Enhancement via Consistency Distillation | Diffusion models have shown strong performance in speech enhancement, but their real-time applicability has been limited by multi-step iterative sampling. Consistency distillation has recently emerged as a promising alternative by distilling a one-step consistency model from a multi-step diffusion-based teacher model. ... | null | 2,000 | null | null | https://arxiv.org/abs/2507.05688 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Diffusion Models"
},
{
"area": "Audio",
"area_id": "audio",
"collection": "Speech enhancement"
}
] |
https://paperswithcode.com/method/faqs-support-what-is-the-phone-number-for-5 | [[FAQs--Support]] What is the phone number for Norwegian Cruise Line access desk? | [[FAQs--Support]] What is the phone number for Norwegian Cruise Line access desk? | If the guest is unable to connect to the internet, you can reach a person on a Norwegian Cruise Line ship from the United States or Canada, call +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). You will need to pay with a MasterCard, Visa, or American Express. | {
"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/faqs-help-what-is-the-carnival-phone-number | [FAQs-HElp]What is the Carnival phone number? | [FAQs-HElp]What is the Carnival phone number? | To cancel a Carnival cruise, you can call their customer service number at 1-855-732-4023 or 1-808-900-8011.
Carnival Cruise Line's main customer service line ((855) 732-4023) operates with specific hours, but they do offer 24-hour support in certain situations.
The customer service number for Carnival Cruise L... | {
"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-copa-what-is-the-24-hour-rule-for-copa | (FAQs`Copa)What is the 24 hour rule for Copa Airlines? | (FAQs`Copa)What is the 24 hour rule for Copa Airlines? | Copa Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ like many airlines, adheres to the US Department of Transportation's 24-hour rule. This rule allows passengers to cancel a flight booking for a full refund within 24 hours of purchase,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ provided the booking was made ... | {
"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-solutiiion-how-do-i-cancel-a-cruise | [[Faqs`Solutiiion]]How do I cancel a cruise without penalty? | [[Faqs`Solutiiion]]How do I cancel a cruise without penalty? | To cancel a cruise without penalty, the key is to understand and utilize the cruise line's cancellation policy and potentially consider travel insurance.+1-(855)-732-4023 Generally, you can cancel without penalty if you do so within a risk-free cancellation window (often 24-48 hours after booking)+1-(855)-732-4023 or i... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/faqstm24-free-solution-how-do-i-speak-at | [Faqs™24 free~Solution]How do I speak at someone on Singapore Airlines? | [Faqs™24 free~Solution]How do I speak at someone on Singapore Airlines? | To speak with someone at Singapore Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, the quickest method is to call their customer service hotline ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. For the US, you can call ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. You can also find live chat and email options on... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/13-ways-to-call-how-can-i-speak-to-someone-at | 13 Ways to Call How can i speak to someone at Silversea Cruises: A Step by Step Guide | 13 Ways to Call How can i speak to someone at Silversea Cruises: A Step by Step Guide | To contact a live representative at Silversea Cruises call their 24/7 customer service hotline at (+1-855-732-4023 (US) or +44-289-708-0062 (UK)) or 1-855-Silversea Cruises. You can also use their website-s live chat or email for assistance. Whether you-re changing a Cruise handling a booking issue or need general supp... | {
"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-what-is-the-24-hour-rule-for-air-france | [{FAQ}]What is the 24 hour rule for Air France? | [{FAQ}]What is the 24 hour rule for Air France? | What is the 24 hour rule for Air France?
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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/cp-conv | CP conv | Center-pivot convolution | {
"title": "Hypercorrelation Squeeze for Few-Shot Segmentation",
"url": "https://paperswithcode.com/paper/hypercorrelation-squeeze-for-few-shot"
} | 2,000 | https://arxiv.org/abs/2104.01538v3 | Hypercorrelation Squeeze for Few-Shot Segmentation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] | |
https://paperswithcode.com/method/btf | BTF | Back to the Feature | {
"title": "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection",
"url": "https://paperswithcode.com/paper/an-empirical-investigation-of-3d-anomaly"
} | 2,000 | https://arxiv.org/abs/2203.05550v3 | Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Point Cloud Representations"
}
] | |
https://paperswithcode.com/method/faq-is-air-france-open-on-24-7-customer | [{FAQ}]Is Air France open on 24/7? Customer Service | [{FAQ}]Is Air France open on 24/7? Customer Service | What number is 1 800 237 2747?
To speak with Air France on the phone, call the Air France U.S. customer service number 1-833-667)-0020) at +1-833-667-0020, (toll-free). Air France customer service hours are 8 a.m. to 11 p.m. Eastern Standard Time from Monday to Sunday. The customer service number for Air France 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"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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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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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
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}
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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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{
"area": "General",
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{
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
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}
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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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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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