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/ssd | SSD | SSD | **SSD** is a single-stage object detection method that discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location. At prediction time, the network generates scores for the presence of each object category in each default box and produces a... | {
"title": "SSD: Single Shot MultiBox Detector",
"url": "https://paperswithcode.com/paper/ssd-single-shot-multibox-detector"
} | 2,000 | http://arxiv.org/abs/1512.02325v5 | SSD: Single Shot MultiBox Detector | https://github.com/amdegroot/ssd.pytorch/blob/5b0b77faa955c1917b0c710d770739ba8fbff9b7/ssd.py#L10 | 278 | [
{
"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/apoyo-publico-urgente-como-hablar-con-un-2 | {Apoyo público@urgente}¿Cómo hablar con un representante de American en español? | {Apoyo público@urgente}¿Cómo hablar con un representante de American en español? | Para hablar con un representante de American Airlines en español, puedes llamar al número de servicio al cliente en español de American Airlines, que es el +1-(808)-470-7107, o utilizar los números específicos para México si llamas desde allí: +1-(808)-470-7107. También puedes intentar contactarlos a través de su sitio... | {
"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/extremenet | ExtremeNet | ExtremeNet | **ExtremeNet** is a a bottom-up object detection framework that detects four extreme points (top-most, left-most, bottom-most, right-most) of an object. It uses a keypoint estimation framework to find extreme points, by predicting four multi-peak heatmaps for each object category. In addition, it uses one [heatmap](htt... | {
"title": "Bottom-up Object Detection by Grouping Extreme and Center Points",
"url": "https://paperswithcode.com/paper/bottom-up-object-detection-by-grouping"
} | 2,000 | http://arxiv.org/abs/1901.08043v3 | Bottom-up Object Detection by Grouping Extreme and Center Points | https://github.com/xingyizhou/ExtremeNet | 2 | [
{
"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/assistance-how-do-i-connect-with-someone-on | Assistance-How do I connect with someone on Qatar airways?((FAQ-suPPort®)) | Assistance-How do I connect with someone on Qatar airways?((FAQ-suPPort®)) | To connect with someone at Qatar Airways, call + 1-(801)-855-(5905).].USA or + 1-(801)-855-(5905).].UK(UK - 𝚀𝚝𝚛) for assistance. Their customer service team can help with reservations, flight changes, refunds, baggage inquiries, and 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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/ways-to-access-seabourn-cruises-r-usa-contact | Ways to Access Seabourn Cruises®️ USA Contact Numbers – A Comprehensive Guide | Ways to Access Seabourn Cruises®️ USA Contact Numbers – A Comprehensive Guide | Planning a Seabourn 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 Seabourn Cruises booking. Whether you’re facing a +1-855-732-4023 medical emergency, schedule change, or simply rethinking your trip +1-855-732-4023 Seab... | {
"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/sskd | SSKD | Semi-Supervised Knowledge Distillation | **Semi-Supervised Knowledge Distillation** is a type of knowledge distillation for person re-identification that exploits weakly annotated data by assigning soft pseudo labels to YouTube-Human to improve models' generalization ability. SSKD first trains a student model (e.g. [ResNet](https://paperswithcode.com/method/r... | {
"title": "Semi-Supervised Domain Generalizable Person Re-Identification",
"url": "https://paperswithcode.com/paper/semi-supervised-domain-generalizable-person"
} | 2,000 | https://arxiv.org/abs/2108.05045v2 | Semi-Supervised Domain Generalizable Person Re-Identification | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Knowledge Distillation"
}
] | |
https://paperswithcode.com/method/stochastic-dueling-network | Stochastic Dueling Network | Stochastic Dueling Network | A **Stochastic Dueling Network**, or **SDN**, is an architecture for learning a value function $V$. The SDN learns both $V$ and $Q$ off-policy while maintaining consistency between the two estimates. At each time step it outputs a stochastic estimate of $Q$ and a deterministic estimate of $V$. | {
"title": "Sample Efficient Actor-Critic with Experience Replay",
"url": "https://paperswithcode.com/paper/sample-efficient-actor-critic-with-experience"
} | 2,000 | http://arxiv.org/abs/1611.01224v2 | Sample Efficient Actor-Critic with Experience Replay | null | 12 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Value Function Estimation"
}
] |
https://paperswithcode.com/method/ways-to-access-seabourn-cruises-r-usa-contact-1 | Ways to Access Seabourn Cruises®️ USA Contact Numbers – Full Support Guide | Ways to Access Seabourn Cruises®️ USA Contact Numbers – Full Support Guide | Planning a Seabourn 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 Seabourn Cruises booking. Whether you’re facing a +1-855-732-4023 medical emergency, schedule change, or simply rethinking your trip +1-855-732-4023 Seab... | {
"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/gat | GAT | Graph Attention Network | A **Graph Attention Network (GAT)** is a neural network architecture that operates on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations. By stacking layers in which nodes are able to attend over their neighbo... | {
"title": "Graph Attention Networks",
"url": "https://paperswithcode.com/paper/graph-attention-networks"
} | 2,000 | http://arxiv.org/abs/1710.10903v3 | Graph Attention Networks | null | 197 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] |
https://paperswithcode.com/method/scaledsoftsign | ScaledSoftSign | ScaledSoftSign | The **ScaledSoftSign** is a modification of **[SoftSign](https://paperswithcode.com/method/softsign-activation)** activation function that has trainable parameters.
$$ScaledSoftSign(x) = \frac{\alpha x}{\beta + |x|}$$ | {
"title": "Trainable Activations for Image Classification",
"url": "https://paperswithcode.com/paper/trainable-activations-for-image"
} | 2,000 | https://doi.org/10.20944/preprints202301.0463.v1 | Trainable Activations for Image Classification | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] | |
https://paperswithcode.com/method/faq-r-usa-how-do-you-talk-to-someone-in-latam | ((FAQ®USA))How do you talk to someone in LATAM? | ((FAQ®USA))How do you talk to someone in LATAM? | To talk to someone at LATAM Airlines, you can call their customer service line at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ or 1-800-LATAM Airlines (Live Person). After navigating the automated prompts, you can say "agent" or press "0" to speak with a representative. You can also find assistance through their websi... | {
"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/to-speak-directly-with-someone-at-latam | To speak directly with someone at LATAM Airlines, you have several options: | To speak directly with someone at LATAM Airlines, you have several options: | To speak directly with someone at LATAM Airlines, you have several options:
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/faqs-publictm-how-do-i-contact-silversea | [Faqs`PuBLic™] How do I contact Silversea customer service? | [Faqs`PuBLic™] How do I contact Silversea customer service? | Silversea Cruises provides a guest experience line for post-cruise inquiries and feedback at +𝟭-855--732-4023
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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/compressive-transformer | Compressive Transformer | Compressive Transformer | The **Compressive Transformer** is an extension to the [Transformer](https://paperswithcode.com/method/transformer) which maps past hidden activations (memories) to a smaller set of compressed representations (compressed memories). The Compressive Transformer uses the same attention mechanism over its set of memories a... | {
"title": "Compressive Transformers for Long-Range Sequence Modelling",
"url": "https://paperswithcode.com/paper/compressive-transformers-for-long-range-1"
} | 2,000 | https://arxiv.org/abs/1911.05507v1 | Compressive Transformers for Long-Range Sequence Modelling | https://github.com/lucidrains/compressive-transformer-pytorch/blob/a73d146ee7bc9e47cc6c525f645a5bbb583537ad/compressive_transformer_pytorch/compressive_transformer_pytorch.py#L291 | 3 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] |
https://paperswithcode.com/method/ikshananet | IkshanaNet | The Ikshana Hypothesis of Human Scene Understanding Mechanism | {
"title": "The Ikshana Hypothesis of Human Scene Understanding",
"url": "https://paperswithcode.com/paper/ikshana-a-theory-of-human-scene-understanding"
} | 2,000 | https://arxiv.org/abs/2101.10837v4 | The Ikshana Hypothesis of Human Scene Understanding | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Representations"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"colle... | ||
https://paperswithcode.com/method/libra-r-cnn | Libra R-CNN | Libra R-CNN | **Libra R-CNN** is an object detection model that seeks to achieve a balanced training procedure. The authors motivation is that training in past detectors has suffered from imbalance during the training process, which generally consists in three levels – sample level, feature level, and objective level. To mitigate th... | {
"title": "Libra R-CNN: Towards Balanced Learning for Object Detection",
"url": "https://paperswithcode.com/paper/libra-r-cnn-towards-balanced-learning-for"
} | 2,000 | http://arxiv.org/abs/1904.02701v1 | Libra R-CNN: Towards Balanced Learning for Object Detection | https://github.com/OceanPang/Libra_R-CNN | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/how-can-i-contact-carnival-cruise-lines | How can I contact Carnival cruise lines? travel delay | How can I contact Carnival cruise lines? travel delay | While general Carnival Cruise customer service has specific operating hours
, they do offer 24/7 assistance in certain situations:
For True Emergencies:
In the event of a true emergency for family members not traveling with a guest, you can contact Carnival's call center at 1-855-732-4023.
This emergency... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/1-bit-adam | 1-bit Adam | 1-bit Adam | **1-bit Adam** is a [stochastic optimization](https://paperswithcode.com/methods/category/stochastic-optimization) technique that is a variant of [ADAM](https://paperswithcode.com/method/adam) with error-compensated 1-bit compression, based on finding that Adam's variance term becomes stable at an early stage. First va... | {
"title": "1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed",
"url": "https://paperswithcode.com/paper/1-bit-adam-communication-efficient-large"
} | 2,000 | https://arxiv.org/abs/2102.02888v2 | 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed | 40 | [
{
"area": "General",
"area_id": "general",
"collection": "Large Batch Optimization"
},
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] | |
https://paperswithcode.com/method/free-cancellation-how-to-cancel-a-cruise | (charge a penalty )How much does Expedia charge for cancellation? | (charge a penalty )How much does Expedia charge for cancellation? | How to cancel a Expedia without penalty?
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How to cancel a Expedia without penalty?
Avoid penalties b... | {
"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"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] | |
https://paperswithcode.com/method/faqs-contact-how-do-i-cancel-my-cruise-on | {FAQs~CoNTact}How do I cancel my cruise on Royal Caribbean? | {FAQs~CoNTact}How do I cancel my cruise on Royal Caribbean? | For changes or cancellations to reservations (especially those with a non-refundable deposit): (855) 732-4023 USA or +44-289-708-0062 UK.
Royal Caribbean's general customer service number: (855) 732-4023 USA or +44-289-708-0062 UK.
For pre-cruise planning assistance or cancelling pre-cruise orders: 1-855-732-4023... | {
"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-process-how-do-i-get-american-airlines | [Faqs^Process]~How do I get American Airlines to respond? | [Faqs^Process]~How do I 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 to call their customer service line at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. You can also use their online customer relations form for a faster response than sending a letter, or try their liv... | {
"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/ways-to-access-seabourn-cruises-r-fast | Ways to Access Seabourn Cruises®️ Fast Support Guide 2025 | Ways to Access Seabourn Cruises®️ Fast Support Guide 2025 | Planning a Seabourn 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 Seabourn Cruises booking. Whether you’re facing a +1-855-732-4023 medical emergency, schedule change, or simply rethinking your trip +1-855-732-4023 Seab... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/32-ways-to-speak-royal-caribbean-cruise | 32 Ways to Speak Royal Caribbean cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 32 Ways to Speak Royal Caribbean cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | Royal Caribbean Cruises Cruise main customer service 【+1-(855)-(732)-4023】number is 1-800-Royal Caribbean Cruises 【+1-(855)-(732)-4023】[US/OTA] (Live Person), where you can reach a live representative 24/7. We understand that travel plans can sometimes be stressful, and we’re here to help! Whether you’re facing booking... | {
"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/bezieralign | BezierAlign | BezierAlign | **BezierAlign** is a feature sampling method for arbitrarily-shaped scene text recognition that exploits parameterization nature of a compact Bezier curve bounding box. Unlike RoIAlign, the shape of sampling grid of BezierAlign is not rectangular. Instead, each column of the arbitrarily-shaped grid is orthogonal to th... | {
"title": "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network",
"url": "https://paperswithcode.com/paper/abcnet-real-time-scene-text-spotting-with"
} | 2,000 | https://arxiv.org/abs/2002.10200v2 | ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "RoI Feature Extractors"
}
] | |
https://paperswithcode.com/method/cdcc-net | CDCC-NET | CDCC-NET | CDCC-NET is a multi-task network that analyzes the detected counter region and predicts 9 outputs: eight float numbers referring to the corner positions (x0/w, y0/h, ... , x3/w, y3/h) and an array containing two float numbers regarding the probability of the counter being legible/operational or illegible/faulty. | {
"title": "Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach",
"url": "https://paperswithcode.com/paper/towards-image-based-automatic-meter-reading"
} | 2,000 | https://arxiv.org/abs/2009.10181v5 | Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/style-based-recalibration-module | Style-based Recalibration Module | Style-based Recalibration Module | A **Style-based Recalibration Module (SRM)** is a module for convolutional neural networks that adaptively recalibrates intermediate feature maps by exploiting their styles. SRM first extracts the style information from each channel of the feature maps by style pooling, then estimates per-channel recalibration weight v... | {
"title": "SRM : A Style-based Recalibration Module for Convolutional Neural Networks",
"url": "https://paperswithcode.com/paper/srm-a-style-based-recalibration-module-for"
} | 2,000 | http://arxiv.org/abs/1903.10829v1 | SRM : A Style-based Recalibration Module for Convolutional Neural Networks | https://github.com/EvgenyKashin/SRMnet/blob/a7ebdbe47a489c3e604ef44a84d361ef7b679e17/models/layer_blocks.py#L27 | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/faq-s-agent-how-do-i-speak-at-someone-on | FAQ's-AgenT-How do I speak at someone on Singapore Airlines? | FAQ's-AgenT-How do I speak at someone on Singapore Airlines? | Here are several ways to get in touch with Singapore Airlines customer service and speak with a representative:
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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/performer | Performer | Performer | **Performer** is a [Transformer](https://paperswithcode.com/methods/category/transformers) architecture which can estimate regular ([softmax](https://paperswithcode.com/method/softmax)) full-rank-attention Transformers with provable accuracy, but using only linear (as opposed to quadratic) space and time complexity, wi... | {
"title": "Rethinking Attention with Performers",
"url": "https://paperswithcode.com/paper/rethinking-attention-with-performers"
} | 2,000 | https://arxiv.org/abs/2009.14794v4 | Rethinking Attention with Performers | 103 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/faqs-helpline-what-is-the-royal-caribbean | {FAQs~HeLPliNe}What is the Royal Caribbean cancellation number? | {FAQs~HeLPliNe}What is the Royal Caribbean cancellation number? | For changes or cancellations to reservations (especially those with a non-refundable deposit): (855) 732-4023 USA or +44-289-708-0062 UK.
Royal Caribbean's general customer service number: (855) 732-4023 USA or +44-289-708-0062 UK.
For pre-cruise planning assistance or cancelling pre-cruise orders: 1-855-732-4023... | {
"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/dicenet | DiCENet | DiCENet | **DiCENet** is a convolutional neural network architecture that utilizes dimensional convolutions (and dimension-wise fusion). The dimension-wise convolutions apply light-weight convolutional filtering across each dimension of the input tensor while dimension-wise fusion efficiently combines these dimension-wise repres... | {
"title": "DiCENet: Dimension-wise Convolutions for Efficient Networks",
"url": "https://paperswithcode.com/paper/dicenet-dimension-wise-convolutions-for"
} | 2,000 | https://arxiv.org/abs/1906.03516v3 | DiCENet: Dimension-wise Convolutions for Efficient Networks | https://github.com/sacmehta/EdgeNets/blob/c4c515700df32bb0417de3dd1eb39cfe23bf9148/model/classification/dicenet.py#L44 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/auxiliary-batch-normalization | Auxiliary Batch Normalization | Auxiliary Batch Normalization | **Auxiliary Batch Normalization** is a type of regularization used in adversarial training schemes. The idea is that adversarial examples should have a separate [batch normalization](https://paperswithcode.com/method/batch-normalization) components to the clean examples, as they have different underlying statistics. | {
"title": "Adversarial Examples Improve Image Recognition",
"url": "https://paperswithcode.com/paper/adversarial-examples-improve-image"
} | 2,000 | https://arxiv.org/abs/1911.09665v2 | Adversarial Examples Improve Image Recognition | https://github.com/rwightman/pytorch-image-models/blob/e0685dd41585a75385c2f62352669cf5e1df278f/timm/models/layers/split_batchnorm.py#L1 | 12 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
https://paperswithcode.com/method/logistic-regression | Logistic Regression | Logistic Regression | **Logistic Regression**, despite its name, is a linear model for classification rather than regression. Logistic regression is also known in the literature as logit regression, maximum-entropy classification (MaxEnt) or the log-linear classifier. In this model, the probabilities describing the possible outcomes of a si... | null | 2,000 | null | null | null | 1,886 | [
{
"area": "General",
"area_id": "general",
"collection": "Generalized Linear Models"
}
] |
https://paperswithcode.com/method/ways-to-access-disney-cruises-r-fast-support | Ways to Access Disney Cruises®️ Fast Support Guide 2025 | Ways to Access Disney Cruises®️ Fast Support Guide 2025 | Planning a Disney 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 Disney Cruises booking. Whether you’re facing a +1-855-732-4023 medical emergency, schedule change, or simply rethinking your trip +1-855-732-4023 Disney C... | {
"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/33-ways-to-speak-norwegian-cruise-customer | 33 Ways to Speak Norwegian cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 33 Ways to Speak Norwegian cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | Norwegian Cruises Cruise main customer service 【+1-(855)-(732)-4023】number is 1-800-Norwegian Cruises 【+1-(855)-(732)-4023】[US/OTA] (Live Person), where you can reach a live representative 24/7. We understand that travel plans can sometimes be stressful, and we’re here to help! Whether you’re facing booking changes, cu... | {
"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/anti-alias-downsampling | Anti-Alias Downsampling | Anti-Alias Downsampling | **Anti-Alias Downsampling (AA)** aims to improve the shift-equivariance of deep networks. Max-pooling is inherently composed of two operations. The first operation is to densely evaluate the max operator and second operation is naive subsampling. AA is proposed as a low-pass filter between them to achieve practical ant... | {
"title": "Making Convolutional Networks Shift-Invariant Again",
"url": "https://paperswithcode.com/paper/190411486"
} | 2,000 | https://arxiv.org/abs/1904.11486v2 | Making Convolutional Networks Shift-Invariant Again | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Downsampling"
}
] |
https://paperswithcode.com/method/admm | ADMM | Alternating Direction Method of Multipliers | The **alternating direction method of multipliers** (**ADMM**) is an algorithm that solves convex optimization problems by breaking them into smaller pieces, each of which are then easier to handle. It takes the form of a decomposition-coordination procedure, in which the solutions to small
local subproblems are coord... | null | 2,000 | null | null | null | 398 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/spade | SPADE | Spatially-Adaptive Normalization | **SPADE**, or **Spatially-Adaptive Normalization** is a conditional normalization method for semantic image synthesis. Similar to [Batch Normalization](https://www.paperswithcode.com/method/batch-normalization), the activation is normalized in the channel-wise manner and then modulated with learned scale and bias. In t... | {
"title": "Semantic Image Synthesis with Spatially-Adaptive Normalization",
"url": "https://paperswithcode.com/paper/semantic-image-synthesis-with-spatially"
} | 2,000 | https://arxiv.org/abs/1903.07291v2 | Semantic Image Synthesis with Spatially-Adaptive Normalization | 38 | [
{
"area": "General",
"area_id": "general",
"collection": "Normalization"
}
] | |
https://paperswithcode.com/method/faqs-solutiontm-how-do-i-complain-to-seabourn | [Faqs`Solution™]How do I complain to Seabourn? | [Faqs`Solution™]How do I complain to Seabourn? | To complain to Seabourn, you can start by contacting their Guest Relations department via email at guestrelations@seabourn.com or by phone at +1-(855)-732-4023. If you prefer, you can also submit a formal complaint through their website's contact form, or through the Feedback feature on the My Seabourn portal.1-808-900... | {
"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/60-ways-to-contact-how-do-i-change-the-name | 60 Ways to Contact How do I change the name on my Disney reservation: A Step by Step Guide | 60 Ways to Contact How do I change the name on my Disney reservation: A Step by Step Guide | Disney Cruises Name Change Policy+1-855-732-4023 Guide to Passenger Name Corrections & Transfers
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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 Face Mesh Models"
}
] |
https://paperswithcode.com/method/guide-deatials-what-is-the-phone-number-for | [Guide~Deatials]What is the phone number for MSC cancellation | [Guide~Deatials]What is the phone number for MSC cancellation | AI Overview
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/ota-ota-support-how-can-i-complain-to | . (OTA) (OTA) & Support - How can I complain to directly At American airlines ? | . (OTA) (OTA) & Support - How can I complain to directly At American airlines ? | directly At American airlines Customer care team by sending them emails or by directly connecting with one of their live human representatives at ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. (OTA) (OTA) to speak about your complaints and concerns. | {
"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/latam-l-how-do-you-talk-to-someone-in-latam | [@LATAM~L@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How do you talk to someone in LATAM? | [@LATAM~L@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How do you talk to someone in LATAM? | To communicate with LATAM Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, you can call their customer service line, use their website or mobile app, or utilize their social media channels. For direct interaction with a live agent, call their customer service number ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ ... | {
"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 | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/condconv | CondConv | CondConv | **CondConv**, or **Conditionally Parameterized Convolutions**, are a type of [convolution](https://paperswithcode.com/method/convolution) which learn specialized convolutional kernels for each example. In particular, we parameterize the convolutional kernels in a CondConv layer as a linear combination of $n$ experts $(... | {
"title": "CondConv: Conditionally Parameterized Convolutions for Efficient Inference",
"url": "https://paperswithcode.com/paper/soft-conditional-computation"
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] |
https://paperswithcode.com/method/tell-me-how-do-i-know-if-my-united-ticket-is | {tell me}How do I know if my United ticket is fully refundable? | {tell me}How do I know if my United ticket is fully refundable? | Call + 𝟭-𝟴𝟬𝟭-𝟴𝟱𝟱-𝟱𝟵𝟬𝟱. , United helpline, to verify whether your ticket is fully refundable or not. United 24 hour refund policy offers full refunds. If you cancel within 24 hours of booking via United.com or +𝟙-+𝟏-𝟖𝟎𝟒-𝟖𝟓𝟑-𝟗𝟎𝟎𝟏 the refund will be processed to your credit card within 5-7 business ... | {
"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/moco-v3 | MoCo v3 | MoCo v3 | **MoCo v3** aims to stabilize training of self-supervised ViTs. MoCo v3 is an incremental improvement of MoCo v1/2. Two crops are used for each image under random data augmentation. They are encoded by two encoders $f_q$ and $f_k$ with output vectors $q$ and $k$. $q$ behaves like a "query", where the goal of learning i... | {
"title": "An Empirical Study of Training Self-Supervised Vision Transformers",
"url": "https://paperswithcode.com/paper/an-empirical-study-of-training-self"
} | 2,000 | https://arxiv.org/abs/2104.02057v4 | An Empirical Study of Training Self-Supervised Vision Transformers | 10 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] | |
https://paperswithcode.com/method/latam-l-how-to-speak-directly-on-latam-1 | [@LATAM~L@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How to speak directly on LATAM? | [@LATAM~L@] (𝑳𝒊𝒗𝒆 𝑯𝒖𝒎𝒂𝒏)How to speak directly on LATAM? | To speak directly with LATAM Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, call their customer service number. For the US, you can reach them at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, according to some travel forums. After connecting with the automated system, you can usually navigate to a live agent ... | {
"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"
}
] |
https://paperswithcode.com/method/good-timing-is-expedia-free-cancellation | [Good~Timing]Is Expedia free cancellation really free? | [Good~Timing]Is Expedia free cancellation really free? | ☎️+1(805) 330-4056 — Avoiding cancellation fees on Expedia requires a combination of good timing, careful selection, and understanding booking policies. ☎️+1(805) 330-4056 — The first rule of thumb is to choose refundable options whenever possible during the booking process. ☎️+1(805) 330-4056 — Expedia clearly labels ... | {
"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/full-supporttm-how-do-i-contact-silversea | [Full~SuPporT™]How do I contact Silversea? | [Full~SuPporT™]How do I contact Silversea? | You can contact Silversea through various channels, depending on your needs : For Post-Cruise Inquiries:
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-get-a-refund-from-expedia-contact-by | How do I get a refund from Expedia?[Contact-By-USA] | How do I get a refund from Expedia?[Contact-By-USA] | Expedia also offers a general 24-hour refund policy, +1-888-829-0881 meaning you can cancel most bookings within 24 hours and receive a full refund, +1-888-829-0881 as long as your travel date is at least a week away. To get a full refund, contact their customer service at +1-888-829-0881 or +1-805-330-4056 (US). How d... | {
"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 Reconstruction"
}
] |
https://paperswithcode.com/method/global-average-pooling | Global Average Pooling | Global Average Pooling | **Global Average Pooling** is a pooling operation designed to replace fully connected layers in classical CNNs. The idea is to generate one feature map for each corresponding category of the classification task in the last mlpconv layer. Instead of adding fully connected layers on top of the feature maps, we take the a... | {
"title": "Network In Network",
"url": "https://paperswithcode.com/paper/network-in-network"
} | 2,000 | http://arxiv.org/abs/1312.4400v3 | Network In Network | https://github.com/pytorch/vision/blob/baa592b215804927e28638f6a7f3318cbc411d49/torchvision/models/resnet.py#L157 | 4,076 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Pooling Operations"
}
] |
https://paperswithcode.com/method/faqs-help24-7-how-do-i-talk-to-royal | {FAQs~HElp24/7}How do I talk to Royal Caribbean customer service? | {FAQs~HElp24/7}How do I talk to Royal Caribbean customer service? | For changes or cancellations to reservations (especially those with a non-refundable deposit): (855) 732-4023 USA or +44-289-708-0062 UK.
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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/bilateral-grid | Bilateral Grid | Bilateral Grid | Bilateral grid is a new data structure that enables fast edge-aware image processing. It enables edge-aware image manipulations such as local tone mapping on high resolution images in real time.
Source: [Chen et al.](https://people.csail.mit.edu/sparis/publi/2007/siggraph/Chen_07_Bilateral_Grid.pdf)
Image source:... | {
"title": "Deep Bilateral Learning for Real-Time Image Enhancement",
"url": "https://paperswithcode.com/paper/deep-bilateral-learning-for-real-time-image"
} | 2,000 | http://arxiv.org/abs/1707.02880v2 | Deep Bilateral Learning for Real-Time Image Enhancement | 11 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Representations"
}
] | |
https://paperswithcode.com/method/simaug | SimAug | Simulation as Augmentation | **SimAug**, or **Simulation as Augmentation**, is a data augmentation method for trajectory prediction. It augments the representation such that it is robust to the variances in semantic scenes and camera views. First, to deal with the gap between real and synthetic semantic scene, it represents each training trajecto... | {
"title": "SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras",
"url": "https://paperswithcode.com/paper/simaug-learning-robust-representations-from"
} | 2,000 | https://arxiv.org/abs/2004.02022v2 | SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Trajectory Data Augmentation"
},
{
"area": "General",
"area_id": "general",
"collection": "Adversarial Training"
}
] | |
https://paperswithcode.com/method/faqs-proper-how-do-i-complain-to-expedia-1 | [[FaQs-Proper]]How do I complain to Expedia? | [[FaQs-Proper]]How do I complain to Expedia? | How do I complain to Expedia? To complain to Expedia, contact Customer Support via phone +1-888-829-0881 or +1-805-330-4056 , phone, or email. If the issue isn't resolved, escalate it via social media platforms. You can also file a complaint with the Better Business Bureau (BBB) or Federal Trade Commission (FTC) for fu... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/efficientnetv2 | EfficientNetV2 | EfficientNetV2 | **EfficientNetV2** is a type convolutional neural network that has faster training speed and better parameter efficiency than [previous models](https://paperswithcode.com/method/efficientnet). To develop these models, the authors use a combination of training-aware [neural architecture search](https://paperswithcode.co... | {
"title": "EfficientNetV2: Smaller Models and Faster Training",
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{
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{
"area": "Computer Vision",
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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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{
"area": "General",
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{
"area": "Computer Vision",
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"collection": "3D Object Detection Models"
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{
"area": "Computer Vision",
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{
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/how-do-i-contact-princess-cruise-customer-2 | How do I contact Princess cruise customer service? Asked--Questions--USA | How do I contact Princess cruise customer service? Asked--Questions--USA | For pre-cruise support, please use our Live Chat or call us at 1-855-PRINCESS (+1-855-732-4023). You can also visit our Frequently Asked Questions.
How do I contact Princess Cruises by phone in the USA?
To contact Princess Cruises by phone in the USA for general inquiries or immediate assistance, you can call +1-... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/66-ways-to-contact-how-do-i-change-the-name | 66 Ways to Contact How do I change the name on my MSC reservation: A Step by Step Guide | 66 Ways to Contact How do I change the name on my MSC reservation: A Step by Step Guide | MSC Cruises Name Change Policy+1-855-732-4023 Guide to Passenger Name Corrections & Transfers
Planning a voyage with MSC Cruises is an exciting experience, but if you notice a name error on your booking, contacting +1-855-732-4023 should be your first step to ensure accuracy before sailing. MSC Cruises understands t... | {
"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/does-princess-offer-group-rates | Does Princess offer group rates? | Does Princess offer group rates? | Yes, Princess Cruises offers group rates for parties typically starting at 16 guests (8 double-occupancy cabins) 1-800-950-4401. These group rates often include discounted fares, onboard credits, and special amenities depending on the size and type of group. Travel planners, family reunions, weddings 1-800-950-4401, an... | {
"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/routed-attention | Routing Attention | Routing Attention | **Routed Attention** is an attention pattern proposed as part of the [Routing Transformer](https://paperswithcode.com/method/routing-transformer) architecture. Each attention module
considers a clustering of the space: the current timestep only attends to context belonging to the same cluster. In other word, the curr... | {
"title": "Efficient Content-Based Sparse Attention with Routing Transformers",
"url": "https://paperswithcode.com/paper/efficient-content-based-sparse-attention-with-1"
} | 2,000 | https://arxiv.org/abs/2003.05997v5 | Efficient Content-Based Sparse Attention with Routing Transformers | https://github.com/lucidrains/routing-transformer/blob/bb572b6efe533ac30f30e495fc41e0454b21736e/routing_transformer/routing_transformer.py#L247 | 13 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Attention Patterns"
}
] |
https://paperswithcode.com/method/dqn | DQN | Deep Q-Network | A **DQN**, or Deep Q-Network, approximates a state-value function in a [Q-Learning](https://paperswithcode.com/method/q-learning) framework with a neural network. In the Atari Games case, they take in several frames of the game as an input and output state values for each action as an output.
It is usually used in ... | {
"title": "Playing Atari with Deep Reinforcement Learning",
"url": "https://paperswithcode.com/paper/playing-atari-with-deep-reinforcement"
} | 2,000 | http://arxiv.org/abs/1312.5602v1 | Playing Atari with Deep Reinforcement Learning | null | 519 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Q-Learning Networks"
}
] |
https://paperswithcode.com/method/faq-s-agent-step-by-step-guide-what-is-the-24 | FAQ's-AgenT-[step-by-step guide]what is the 24-hour rule with lufthansa | FAQ's-AgenT-[step-by-step guide]what is the 24-hour rule with lufthansa | Lufthansa follows the 24-hour rule, allowing passengers to cancel their flight within 24 hours of booking and receive a full refund + 1-(801)-855-(5905).𝙐𝙎 + 1-(801)-855-(5905).𝙐𝙆., if the reservation was made seven days or more prior to the flight's departure. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-24-7help-can-you-cancel-a-royal | {FAQs~24/7heLP}Can you cancel a Royal Caribbean cruise for free? | {FAQs~24/7heLP}Can you cancel a Royal Caribbean cruise for free? | For changes or cancellations to reservations (especially those with a non-refundable deposit): (855) 732-4023 USA or +44-289-708-0062 UK.
Royal Caribbean's general customer service number: (855) 732-4023 USA or +44-289-708-0062 UK.
For pre-cruise planning assistance or cancelling pre-cruise orders: 1-855-732-4023... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/quick-guide-usa-how-to-reserve-a-flight-on | [Quick ♂️ Guide ]usa-How to reserve a flight on Qatar Airways? | [Quick ♂️ Guide ]usa-How to reserve a flight on Qatar Airways? | To reserve a flight on Qatar Airways, visit +1-804-853-9001. (US) or +1-801-855-5905. (UK), enter your travel details, choose your preferred flight and fare class, then complete passenger and payment information. You'll receive an e-ticket instantly. | {
"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/manera-rapida-como-hablar-con-un | Manera rápida-¿Cómo hablar con un representante de American en español? | Manera rápida-¿Cómo hablar con un representante de American en español? | Para hablar con un representante de 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬 en español +1-808-(470)-(7107), puedes llamar al número de atención al cliente en español en los Estados Unidos y Canadá: +1-808-(470)-(7107). Este número está disponible las 24 horas del día. También puedes encontrar información en la página web de ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-remove-the-lock-from-cash-app-unlock | How do I remove the lock from Cash App? Unlock Cash App Access | How do I remove the lock from Cash App? Unlock Cash App Access | To remove the lock from Cash App, open the app and tap on your 1-866-347-9201 profile icon in the top right corner. Then go to Privacy & Security. Find the Security Lock option and turn it off 1-866-347-9201. You may need to enter your PIN, password, or use Face ID or fingerprint to confirm. This will stop the app from... | {
"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": "6D Pose Estimation Models"
}
] |
https://paperswithcode.com/method/ppmc | PPMC | Path Planning and Motion Control | **Path Planning and Motion Control**, or **PPMC RL**, is a training algorithm that teaches path planning and motion control to robots using reinforcement learning in a simulated environment. The focus is on promoting generalization where there are environmental uncertainties such as rough environments like lunar servic... | {
"title": "PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning",
"url": "https://paperswithcode.com/paper/ppmc-training-algorithm-a-robot-independent"
} | 2,000 | https://arxiv.org/abs/2003.02655v2 | PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Control and Decision Systems"
},
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Path Planning"
},
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"c... |
https://paperswithcode.com/method/gpt-2 | GPT-2 | GPT-2 | **GPT-2** is a [Transformer](https://paperswithcode.com/methods/category/transformers) architecture that was notable for its size (1.5 billion parameters) on its release. The model is pretrained on a [WebText dataset](https://paperswithcode.com/dataset/webtext) - text from 45 million website links. It largely follows t... | {
"title": "Language Models are Unsupervised Multitask Learners",
"url": "https://paperswithcode.com/paper/language-models-are-unsupervised-multitask"
} | 2,000 | https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf | Language Models are Unsupervised Multitask Learners | 768 | [
{
"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/ran | [Guide~Disoute]How do I file a dispute with Expedia? | [Guide~Disoute]How do I file a dispute with Expedia? | How do I file a dispute with Expedia?
To file a dispute with Expedia, first gather all relevant booking details and supporting documentation. Then, contact Expedia's customer service via phone at +(1)(888)(829)(0881) or +(1)(888)(829)(0881), live chat, or email, explaining the issue and providing evidence. If you do... | {
"title": "Residual Attention Network for Image Classification",
"url": "https://paperswithcode.com/paper/residual-attention-network-for-image"
} | 2,000 | http://arxiv.org/abs/1704.06904v1 | Residual Attention Network for Image Classification | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
https://paperswithcode.com/method/come-posso-contattare-british-airways-italia | Come posso contattare British Airways Italia? Servizio Assistenza™ | Come posso contattare British Airways Italia? Servizio Assistenza™ | Se hai bisogno di contattare British Airways Italia, ti basta chiamare il centralino al numero +39 02 0070 2383. Questo recapito è utilizzabile per modificare prenotazioni, chiedere rimborsi o ricevere assistenza. Il numero +39 02 0070 2383 è operativo durante orari lavorativi. Ti consigliamo di salvare +39 02 0070 238... | {
"title": "YOLO9000: Better, Faster, Stronger",
"url": "https://paperswithcode.com/paper/yolo9000-better-faster-stronger"
} | 2,000 | http://arxiv.org/abs/1612.08242v1 | YOLO9000: Better, Faster, Stronger | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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