url stringlengths 36 82 | name stringlengths 2 143 | full_name stringlengths 2 143 โ | description stringlengths 0 9.95k | paper dict | introduced_year int64 1.95k 2.02k | source_url stringlengths 32 228 โ | source_title stringlengths 9 170 โ | code_snippet_url stringclasses 464
values | num_papers int64 0 37.4k | collections listlengths 0 6 |
|---|---|---|---|---|---|---|---|---|---|---|
https://paperswithcode.com/method/how-to-make-money-on-coinspot | How to make money on CoinSpot? | How to make money on CoinSpot? | call ๏ผ๏ผใผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผ. To start trading in the CoinSpot app, first call ๏ผ๏ผใผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผ. to get a walkthrough of the interface. ๏ผ๏ผใผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผ. will guide you in finding the market, buy, and sell tabs inside the app. If your app is outdated or crashing, ๏ผ๏ผใผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผใผ๏ผ๏ผ๏ผ๏ผ. can help troubleshoot updates. To place a tr... | {
"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/booking-can-i-upgrade-from-economy-to | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]Can I upgrade from economy to business class on Turkish Airlines? | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]Can I upgrade from economy to business class on Turkish Airlines? | You can take advantage (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))) of Last Minute Upgrade at check-in counters before your flight. If you are a Economy Class ticketholder (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))), you can upgrade to Business Class if there is cabin seat availability and you have enough Mi... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-s-how-do-i-get-a-refund-from-expedia-live | [FaQ's]How do I get a refund from Expedia?{{LIVE!!GUIDE!!CENTRE}} | [FaQ's]How do I get a refund from Expedia?{{LIVE!!GUIDE!!CENTRE}} | If you're trying to resolve a travel issue quickly, the most effective way to reach a live human at Expedia is by calling ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ(USA) or +๐-๐ ๐๐-๐๐๐-๐๐๐๐
. How do I get a human at Expedia? Connecting with an Expedia agent is simple. Call either +๐-๐ ๐๐-๐๐๐-๐๐๐๐
(USA) or ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ... | {
"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/contact-usa-how-do-i-cancel-my-regent-seven-1 | [{Contact--USA]] How do I cancel my Regent Seven Seas cruise? | [{Contact--USA]] How do I cancel my Regent Seven Seas cruise? | To cancel a Regent Seven Seas cruise, you'll need to contact their reservations department directly . You can reach them by phone at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). Their hours of operation are Monday - Friday: 8 am - 8 pm ET and Saturday and Sunday: 9:30 am - 5:30 pm ET.
To cancel a Regent Seven Sea... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/srs | SRS | Sticker Response Selector | **Sticker Response Selector**, or **SRS**, is a model for multi-turn dialog that automatically selects a sticker response. SRS first employs a convolutional based sticker image encoder and a self-attention based multi-turn dialog encoder to obtain the representation of stickers and utterances. Next, deep interaction ne... | {
"title": "Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog",
"url": "https://paperswithcode.com/paper/learning-to-respond-with-stickers-a-framework"
} | 2,000 | https://arxiv.org/abs/2003.04679v1 | Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog | null | 45 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Conversational Models"
}
] |
https://paperswithcode.com/method/population-based-augmentation | Population Based Augmentation | Population Based Augmentation | **Population Based Augmentation**, or **PBA**, is a data augmentation strategy (PBA), which generates nonstationary augmentation policy schedules instead of a fixed augmentation policy. In PBA we consider the augmentation policy search problem as a special case of hyperparameter schedule learning. It leverages [Populat... | {
"title": "Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules",
"url": "https://paperswithcode.com/paper/190505393"
} | 2,000 | https://arxiv.org/abs/1905.05393v1 | Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules | https://github.com/arcelien/pba | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] |
https://paperswithcode.com/method/l1-regularization | L1 Regularization | L1 Regularization | **$L_{1}$ Regularization** is a regularization technique applied to the weights of a neural network. We minimize a loss function compromising both the primary loss function and a penalty on the $L\_{1}$ Norm of the weights:
$$L\_{new}\left(w\right) = L\_{original}\left(w\right) + \lambda{||w||}\_{1}$$
where $\lam... | null | 1,986 | null | null | 90 | [
{
"area": "General",
"area_id": "general",
"collection": "Parameter Norm Penalties"
},
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] | |
https://paperswithcode.com/method/csgld | CSGLD | Contour Stochastic Gradient Langevin Dynamics | Simulations of multi-modal distributions can be very costly and often lead to unreliable predictions. To accelerate the computations, we propose to sample from a flattened distribution to accelerate the computations and estimate the importance weights between the original distribution and the flattened distribution to ... | {
"title": "A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions",
"url": "https://paperswithcode.com/paper/a-contour-stochastic-gradient-langevin"
} | 2,000 | https://arxiv.org/abs/2010.09800v2 | A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions | https://github.com/WayneDW/Contour-Stochastic-Gradient-Langevin-Dynamics | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Markov Chain Monte Carlo"
}
] |
https://paperswithcode.com/method/booking-how-to-reserve-a-seat-on-singapore | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]How to reserve a seat on Singapore Airlines? | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]How to reserve a seat on Singapore Airlines? | Depending on the fare type you choose (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))), you may select a seat in advance for free or a fee. Alternatively, you may select any available Economy Class seat (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))) for free when online check-in opens, 48 hours before your flight d... | {
"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 Object Detection Models"
}
] |
https://paperswithcode.com/method/faq-s-how-do-i-connect-with-people-on-expedia | [FaQ's]How do I connect with people on Expedia?{{LIVE!!GUIDE!!CENTRE}} | [FaQ's]How do I connect with people on Expedia?{{LIVE!!GUIDE!!CENTRE}} | If you're trying to resolve a travel issue quickly, the most effective way to reach a live human at Expedia is by calling ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ(USA) or +๐-๐ ๐๐-๐๐๐-๐๐๐๐
. How do I get a human at Expedia? Connecting with an Expedia agent is simple. Call either +๐-๐ ๐๐-๐๐๐-๐๐๐๐
(USA) or ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ... | {
"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/impala | IMPALA | IMPALA | **IMPALA**, or the **Importance Weighted Actor Learner Architecture**, is an off-policy actor-critic framework that decouples acting from learning and learns from experience trajectories using [V-trace](https://paperswithcode.com/method/v-trace). Unlike the popular [A3C](https://paperswithcode.com/method/a3c)-based age... | {
"title": "IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures",
"url": "https://paperswithcode.com/paper/impala-scalable-distributed-deep-rl-with"
} | 2,000 | http://arxiv.org/abs/1802.01561v3 | IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures | null | 16 | [
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
},
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Distributed Reinforcement Learning"
},
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learn... |
https://paperswithcode.com/method/amsgrad | AMSGrad | AMSGrad | **AMSGrad** is a stochastic optimization method that seeks to fix a convergence issue with [Adam](https://paperswithcode.com/method/adam) based optimizers. AMSGrad uses the maximum of past squared gradients
$v\_{t}$ rather than the exponential average to update the parameters:
$$m\_{t} = \beta\_{1}m\_{t-1} + \left... | {
"title": "On the Convergence of Adam and Beyond",
"url": "https://paperswithcode.com/paper/on-the-convergence-of-adam-and-beyond-1"
} | 2,000 | http://arxiv.org/abs/1904.09237v1 | On the Convergence of Adam and Beyond | https://github.com/pytorch/pytorch/blob/b7bda236d18815052378c88081f64935427d7716/torch/optim/adam.py#L6 | 49 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/coat | CoaT | Co-Scale Conv-attentional Image Transformer | **Co-Scale Conv-Attentional Image Transformer** (CoaT) is a [Transformer](https://paperswithcode.com/method/transformer)-based image classifier equipped with co-scale and conv-attentional mechanisms. First, the co-scale mechanism maintains the integrity of Transformers' encoder branches at individual scales, while allo... | {
"title": "Co-Scale Conv-Attentional Image Transformers",
"url": "https://paperswithcode.com/paper/co-scale-conv-attentional-image-transformers"
} | 2,000 | https://arxiv.org/abs/2104.06399v2 | Co-Scale Conv-Attentional Image Transformers | null | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] |
https://paperswithcode.com/method/moco-v2 | MoCo v2 | MoCo v2 | **MoCo v2** is an improved version of the [Momentum Contrast](https://paperswithcode.com/method/moco) self-supervised learning algorithm. Motivated by the findings presented in the [SimCLR](https://paperswithcode.com/method/simclr) paper, authors:
- Replace the 1-layer fully connected layer with a 2-layer MLP head w... | {
"title": "Improved Baselines with Momentum Contrastive Learning",
"url": "https://paperswithcode.com/paper/improved-baselines-with-momentum-contrastive"
} | 2,000 | https://arxiv.org/abs/2003.04297v1 | Improved Baselines with Momentum Contrastive Learning | https://github.com/facebookresearch/moco | 30 | [
{
"area": "General",
"area_id": "general",
"collection": "Semi-Supervised Learning Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] |
https://paperswithcode.com/method/residual-srm | Residual SRM | Residual SRM | A **Residual SRM** is a module for convolutional neural networks that uses a [Style-based Recalibration Module](https://paperswithcode.com/method/style-based-recalibration-module) within a [residual block](https://paperswithcode.com/method/residual-block) like structure. The Style-based Recalibration Module (SRM) adapt... | {
"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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
},
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
}
] |
https://paperswithcode.com/method/booking-what-is-the-difference-between-flight | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]What is the difference between flight booking and reservation? | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]What is the difference between flight booking and reservation? | Reservations and bookings (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))) are often used interchangeably, but they do have differences. A reservation typically secures a spot or service for future use (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))), like a table at a restaurant, while a booking confirms your paymen... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-s-how-do-i-complain-to-expedia-live-guide | [FaQ's]How do I complain to Expedia?{{LIVE!!GUIDE!!CENTRE}} | [FaQ's]How do I complain to Expedia?{{LIVE!!GUIDE!!CENTRE}} | If you're trying to resolve a travel issue quickly, the most effective way to reach a live human at Expedia is by calling ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ(USA) or +๐-๐ ๐๐-๐๐๐-๐๐๐๐
. How do I get a human at Expedia? Connecting with an Expedia agent is simple. Call either +๐-๐ ๐๐-๐๐๐-๐๐๐๐
(USA) or ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ... | {
"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/what-is-the-phone-number-for-celebrity | What is the phone number for Celebrity retreat? [[Refund or cancellation]] | What is the phone number for Celebrity retreat? [[Refund or cancellation]] | Celebrity Cruises' cancellation policy varies based on how far in advance you cancel before your sail date+1-855-732-4023. Generally, the closer to the sail date, the higher the cancellation fees. If you cancel 151 or more days before departure+1-855-732-4023, your deposit is typically refundable, unless it was a non-r... | {
"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/proximity-regularization | Proximity Regularization | Proximity Regularization | {
"title": "Federated Optimization in Heterogeneous Networks",
"url": "https://paperswithcode.com/paper/federated-optimization-for-heterogeneous"
} | 2,000 | https://arxiv.org/abs/1812.06127v5 | Federated Optimization in Heterogeneous Networks | null | 6 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] | |
https://paperswithcode.com/method/12-ways-to-digital-expedia-customer-service | 12 Ways to Digital Expedia Customer Service Telephone Number 805-330-4056 | 12 Ways to Digital Expedia Customer Service Telephone Number 805-330-4056 | "31 Ways to Contact How can i speak to someone at Expedia Airlines- A
Step-by-Step Guide
Expedia main customer service number 1 (888) 829-0881 is 1-800-Expedia or 1 (888) 829-0881 [US-Expedia] or 1 (888) 829-0881 [UK-Expedia]
OTA (Live Person), available 24/7. This guide explains how to contact Expedia customer serv... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/what-is-the-cheapest-day-to-fly-qatar-airways | What is the cheapest day to fly Qatar Airways? | What is the cheapest day to fly Qatar Airways? | The cheapest days to fly Qatar Airways are usually midweek Tuesdays, Wednesdays, and Saturdays ๐ฐ+44-(20)-39000930 (UK) or 1-888-666-3330 (US). Flying on these days often offers lower fares because demand is lighter. To find the best deals, book early and compare dates. For personalized help or to check current prices,... | {
"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/united-now-do-seniors-get-discounts-on-united | {UnItED~NoW} Do seniors get discounts on United flights? | {UnItED~NoW} Do seniors get discounts on United flights? | United AirLines โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
offers senior discounts to passengers 65 years of age and older at โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
(USA). These discounts are not always available online and may require contacting United reservations directly at โ๏ธ+1-801-(855)-(5905) or +1-804-... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/basnet | BASNet | Boundary-Aware Segmentation Network | **BASNet**, or **Boundary-Aware Segmentation Network**, is an image segmentation architecture that consists of a predict-refine architecture and a hybrid loss. The proposed BASNet comprises a predict-refine architecture and a hybrid loss, for highly accurate image segmentation. The predict-refine architecture consists... | {
"title": "Boundary-Aware Segmentation Network for Mobile and Web Applications",
"url": "https://paperswithcode.com/paper/boundary-aware-segmentation-network-for"
} | 2,000 | https://arxiv.org/abs/2101.04704v2 | Boundary-Aware Segmentation Network for Mobile and Web Applications | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
}
] |
https://paperswithcode.com/method/htcn | HTCN | Hierarchical Transferability Calibration Network | **Hierarchical Transferability Calibration Network** (HTCN) is an adaptive object detector that hierarchically (local-region/image/instance) calibrates the transferability of feature representations for harmonizing transferability and discriminability. The proposed model consists of three components: (1) Importance Wei... | {
"title": "Harmonizing Transferability and Discriminability for Adapting Object Detectors",
"url": "https://paperswithcode.com/paper/harmonizing-transferability-and"
} | 2,000 | https://arxiv.org/abs/2003.06297v1 | Harmonizing Transferability and Discriminability for Adapting Object Detectors | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/company-for-assistance-how-do-i-file-a | [Company~For~Assistance]How do I file a dispute with Expedia? | [Company~For~Assistance]How do I file a dispute with Expedia? | To file a dispute with Expedia, gather all help details and supporting evidence. Contact their customer service at โ+(1) โฃ(805) โข (330) โค (4056) (OTA) or โ+(1) โฃ (805) โข (330) โค (4056) . Clearly explain the issue and provide documentation. If unresolved, request to escalate the matter. Keep records of all communication... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-s-how-do-i-ask-a-question-at-expedia-live | [FaQ's]How do I ask a question at Expedia?{{LIVE!!GUIDE!!CENTRE}} | [FaQ's]How do I ask a question at Expedia?{{LIVE!!GUIDE!!CENTRE}} | If you're trying to resolve a travel issue quickly, the most effective way to reach a live human at Expedia is by calling ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ(USA) or +๐-๐ ๐๐-๐๐๐-๐๐๐๐
. How do I get a human at Expedia? Connecting with an Expedia agent is simple. Call either +๐-๐ ๐๐-๐๐๐-๐๐๐๐
(USA) or ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ... | {
"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/bytescheduler | ByteScheduler | ByteScheduler | **ByteScheduler** is a generic communication scheduler for distributed DNN training acceleration. It is based on analysis that partitioning and rearranging the tensor transmissions can result in optimal results in theory and good performance in real-world even with scheduling overhead. | null | 2,019 | null | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Replicated Data Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/teacher-tutor-student-knowledge-distillation | Teacher-Tutor-Student Knowledge Distillation | Teacher-Tutor-Student Knowledge Distillation | **Teacher-Tutor-Student Knowledge Distillation** is a method for image virtual try-on models. It treats fake images produced by the parser-based method as "tutor knowledge", where the artifacts can be corrected by real "teacher knowledge", which is extracted from the real person images in a self-supervised way. Other t... | {
"title": "Parser-Free Virtual Try-on via Distilling Appearance Flows",
"url": "https://paperswithcode.com/paper/parser-free-virtual-try-on-via-distilling"
} | 2,000 | https://arxiv.org/abs/2103.04559v2 | Parser-Free Virtual Try-on via Distilling Appearance Flows | null | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Knowledge Distillation"
}
] |
https://paperswithcode.com/method/fff | FFF | Fast Feedforward Networks | A log-time alternative to feedforward layers outperforming both the vanilla feedforward and mixture-of-experts approaches. | {
"title": "Fast Feedforward Networks",
"url": "https://paperswithcode.com/paper/fast-feedforward-networks"
} | 2,000 | https://arxiv.org/abs/2308.14711v2 | Fast Feedforward Networks | null | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Backbone Architectures"
}
] |
https://paperswithcode.com/method/decorrelated-batch-normalization | Decorrelated Batch Normalization | Decorrelated Batch Normalization | **Decorrelated Batch Normalization (DBN)**
is a normalization technique which not just centers and scales activations but whitens them. ZCA whitening instead of [PCA](https://paperswithcode.com/method/pca) whitening is employed since PCA whitening causes a problem called *stochastic axis swapping*, which is detriment... | {
"title": "Decorrelated Batch Normalization",
"url": "https://paperswithcode.com/paper/decorrelated-batch-normalization"
} | 2,000 | http://arxiv.org/abs/1804.08450v1 | Decorrelated Batch Normalization | https://github.com/bhneo/decorrelated_bn/blob/ded9279387d62209c7fd4d1d21918431c0d6e96d/common/normalization.py#L16 | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Normalization"
}
] |
https://paperswithcode.com/method/nas-fcos | NAS-FCOS | NAS-FCOS | **NAS-FCOS** consists of two sub networks, an [FPN](https://paperswithcode.com/method/fpn) $f$ and a set of prediction heads $h$ which have shared structures. One notable difference with other FPN-based one-stage detectors is that our heads have partially shared weights. Only the last several layers of the predictions ... | {
"title": "NAS-FCOS: Fast Neural Architecture Search for Object Detection",
"url": "https://paperswithcode.com/paper/nas-fcos-fast-neural-architecture-search-for"
} | 2,000 | https://arxiv.org/abs/1906.04423v4 | NAS-FCOS: Fast Neural Architecture Search for Object Detection | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] | |
https://paperswithcode.com/method/how-do-i-contact-viking-stove-top-customer | How do I contact Viking stove top customer service? | How do I contact Viking stove top customer service? | Yes, you can wear jeans on a Viking cruise+1-855-732-4023, but the dress code varies depending on the time of day and the venue. During the day, jeans are perfectly acceptable for exploring the ship or going on excursions+1-855-732-4023, according to Viking Help. For evening dining, especially in the main dining room+1... | {
"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/quick-attention | Quick Attention | Quick Attention | \begin{equation}
QA\left( x \right) = \sigma\left( f\left( x \right)^{1x1} \right) + x \end{equation}
Quick Attention takes in the feature map as an input WxHxC (Width x Height x Channels) and creates two instances of the input feature map then it performs the 1x1xC convolution on the first instance and calculates ... | {
"title": "HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images",
"url": "https://paperswithcode.com/paper/histoseg-quick-attention-with-multi-loss"
} | 2,000 | https://arxiv.org/abs/2209.00729v1 | HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention"
}
] | |
https://paperswithcode.com/method/qs-support-what-is-the-number-for-royal | [[^%QS-Support*&^]]What is the number for Royal Caribbean group booking? | [[^%QS-Support*&^]]What is the number for Royal Caribbean group booking? | To make a Royal Caribbean group booking of 8 or more staterooms, call their customer service line at 1-855-732-4023 or 1-808-900-8011. Alternatively, you can work with a local travel advisor. A group number will be assigned during the initial call, according to Royal Caribbean Cruises.
Yes 1-855-732-4023 or 1-808-90... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-guidelinea-r-does-alaska-airlines-offer | [[FAQs-Guidelineรยฎ]]Does Alaska Airlines offer senior discounts for seniors? | [[FAQs-Guidelineรยฎ]]Does Alaska Airlines offer senior discounts for seniors? | Alaska Airlines flights cover a wide range of domestic and international destinations + 1-(801)-855-(5905). call for best fare, with flexible change policies and budget-friendly deals for all kinds of travelers. Does Alaska Airlines offer senior discounts for seniors? Yes, Alaska Airlines offers senior discounts for pa... | {
"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/scatnet | ScatNet | Scattering Transform | A wavelet **scattering transform** computes a translation invariant representation, which is stable to deformation, using a deep [convolution](https://paperswithcode.com/method/convolution) network architecture. It computes non-linear invariants with modulus and averaging pooling functions. It helps to eliminate the im... | {
"title": "Invariant Scattering Convolution Networks",
"url": "https://paperswithcode.com/paper/invariant-scattering-convolution-networks"
} | 2,000 | https://arxiv.org/abs/1203.1513v2 | Invariant Scattering Convolution Networks | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Representations"
}
] | |
https://paperswithcode.com/method/pytorch-ddp | PyTorch DDP | PyTorch DDP | **PyTorch DDP** (Distributed Data Parallel) is a distributed data parallel implementation for PyTorch. To guarantee mathematical equivalence, all replicas start from the same initial values for model parameters and synchronize gradients to keep parameters consistent across training iterations. To minimize the intrusive... | {
"title": "PyTorch Distributed: Experiences on Accelerating Data Parallel Training",
"url": "https://paperswithcode.com/paper/pytorch-distributed-experiences-on"
} | 2,000 | https://arxiv.org/abs/2006.15704v1 | PyTorch Distributed: Experiences on Accelerating Data Parallel Training | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Replicated Data Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/lbl2vec | Lbl2Vec | Lbl2Vec | {
"title": "Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics",
"url": "https://paperswithcode.com/paper/lbl2vec-an-embedding-based-approach-for"
} | 2,000 | https://arxiv.org/abs/2210.06023v1 | Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics | null | 2 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Text Classification Models"
}
] | |
https://paperswithcode.com/method/eend | EEND | End-to-End Neural Diarization | **End-to-End Neural Diarization** is a neural network for speaker diarization in which a neural network directly outputs speaker diarization results given a multi-speaker recording. To realize such an end-to-end model, the speaker diarization problem is formulated as a multi-label classification problem and a permutati... | {
"title": "End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification",
"url": "https://paperswithcode.com/paper/end-to-end-neural-diarization-reformulating"
} | 2,000 | https://arxiv.org/abs/2003.02966v1 | End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification | null | 26 | [
{
"area": "Audio",
"area_id": "audio",
"collection": "Speaker Diarization"
}
] |
https://paperswithcode.com/method/trans-encoder | Trans-Encoder | Trans-Encoder | Unsupervised knowledge distillation from a pretrained language model to *itself*, by alternating between its bi- and cross-encoder forms. | {
"title": "Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations",
"url": "https://paperswithcode.com/paper/trans-encoder-unsupervised-sentence-pair"
} | 2,000 | https://arxiv.org/abs/2109.13059v4 | Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Sentence Embeddings"
}
] | |
https://paperswithcode.com/method/patching | Patching | Activation Patching | Activation patching studies the model's computation by altering its latent representations, the token embeddings in transformer-based language models, during the inference process | {
"title": "Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models",
"url": "https://paperswithcode.com/paper/patchscope-a-unifying-framework-for"
} | 2,000 | https://arxiv.org/abs/2401.06102v4 | Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models | null | 102 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Inference Extrapolation"
}
] |
https://paperswithcode.com/method/what-is-the-average-age-of-viking-river | What is the average age of Viking river cruise customers? | What is the average age of Viking river cruise customers? | Yes, you can wear jeans on a Viking cruise+1-855-732-4023, but the dress code varies depending on the time of day and the venue. During the day, jeans are perfectly acceptable for exploring the ship or going on excursions+1-855-732-4023, according to Viking Help. For evening dining, especially in the main dining room+1... | {
"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/linear-warmup-with-linear-decay | Linear Warmup With Linear Decay | Linear Warmup With Linear Decay | **Linear Warmup With Linear Decay** is a learning rate schedule in which we increase the learning rate linearly for $n$ updates and then linearly decay afterwards. | null | 2,000 | null | null | null | 7,076 | [
{
"area": "General",
"area_id": "general",
"collection": "Learning Rate Schedules"
}
] |
https://paperswithcode.com/method/anycost-gan | Anycost GAN | Anycost GAN | **Anycost GAN** is a type of generative adversarial network for image synthesis and editing. Given an input image, we project it into the latent space with encoder $E$ and backward optimization. We can modify the latent code with user input to edit the image. During editing, a sub-generator of small cost is used for fa... | {
"title": "Anycost GANs for Interactive Image Synthesis and Editing",
"url": "https://paperswithcode.com/paper/anycost-gans-for-interactive-image-synthesis"
} | 2,000 | https://arxiv.org/abs/2103.03243v1 | Anycost GANs for Interactive Image Synthesis and Editing | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
}
] |
https://paperswithcode.com/method/faq-s-how-do-i-get-a-human-at-expedia-live | [FaQ's]How do I get a human at Expedia?{{LIVE!!GUIDE!!CENTRE}} | [FaQ's]How do I get a human at Expedia?{{LIVE!!GUIDE!!CENTRE}} | If you're trying to resolve a travel issue quickly, the most effective way to reach a live human at Expedia is by calling ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ(USA) or +๐-๐ ๐๐-๐๐๐-๐๐๐๐
. How do I get a human at Expedia? Connecting with an Expedia agent is simple. Call either +๐-๐ ๐๐-๐๐๐-๐๐๐๐
(USA) or ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ๏ผ... | {
"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/tm-call-support-tm-how-much-is-the-fee-to | @#โข{[CALL & SuPPorT]}โข#@How much is the fee to change a flight on United Airlines? | @#โข{[CALL & SuPPorT]}โข#@How much is the fee to change a flight on United Airlines? | For most United Airlines tickets (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001)), including those for travel within the US, Mexico, and the Caribbean, there are no change fees. This applies to most fare types like Economy, Economy Plus, First, Business, and United Premium Plus (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/booking-what-is-the-baggage-allowance-for | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]What is the baggage allowance for Turkish Airlines international flights? | [[Booking-๐๐ฟ๐ฎ๐ป๐ฟ๐ฒ๐ฎ๐]]What is the baggage allowance for Turkish Airlines international flights? | For Turkish Airlines (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))) international flights, the baggage allowance depends on the route and travel class. Generally, (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001))) Business Class passengers can check in two pieces of luggage, each weighing up to 32 kg, while Economy 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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/ways-to-support-how-can-i-speak-to-someone-at-2 | Ways to Support How can i speak to someone at Silversea Cruises (live chat email Option) | Ways to Support How can i speak to someone at Silversea Cruises (live chat email Option) | To speak with someone at Silversea Cruises, you can use one of the following methods: For US and Canada reservations and general inquiries: Call +1-(855)-732-4023.For post-cruise inquiries or Guest Experience: Reach Silversea Guest Experience at +1-(855)-732-4023 US/Canada) or ใ +1-808-900-8011.ใ (international). They ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/vilt | ViLT | Vision-and-Language Transformer | ViLT is a minimal vision-and-language pre-training transformer model where processing of visual inputs is simplified to just the same convolution-free manner that text inputs are processed. The model-specific components of ViLT require less computation than the transformer component for multimodal interactions. ViLTThe... | {
"title": "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision",
"url": "https://paperswithcode.com/paper/vilt-vision-and-language-transformer-without"
} | 2,000 | https://arxiv.org/abs/2102.03334v2 | ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] | |
https://paperswithcode.com/method/cubert | CuBERT | CuBERT | **CuBERT**, or **Code Understanding BERT**, is a [BERT](https://paperswithcode.com/method/bert) based model for code understanding. In order to achieve this, the authors curate a massive corpus of Python programs collected from GitHub. GitHub projects are known to contain a large amount of duplicate code. To avoid bias... | {
"title": "Learning and Evaluating Contextual Embedding of Source Code",
"url": "https://paperswithcode.com/paper/pre-trained-contextual-embedding-of-source-1"
} | 2,000 | https://arxiv.org/abs/2001.00059v3 | Learning and Evaluating Contextual Embedding of Source Code | 3 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Code Generation Transformers"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Autoencoding Transformers"
},
{
"area": "Natural La... | |
https://paperswithcode.com/method/lightautoml | LightAutoML | LightAutoML | **LightAutoML** is an AutoML solution targeted for financial services companies. A typical LightAutoML pipeline scheme is presented in the Figure, each pipeline containing:
- Reader: object that receives raw data and task as input, calculates some useful metadata, performs initial data cleaning and decides about dat... | {
"title": "LightAutoML: AutoML Solution for a Large Financial Services Ecosystem",
"url": "https://paperswithcode.com/paper/lightautoml-automl-solution-for-a-large"
} | 2,000 | https://arxiv.org/abs/2109.01528v2 | LightAutoML: AutoML Solution for a Large Financial Services Ecosystem | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "AutoML"
}
] | |
https://paperswithcode.com/method/what-is-the-cheapest-day-to-book-a-jetblue | [{FAQ}]What is the cheapest day to book a JetBlue flight? | [{FAQ}]What is the cheapest day to book a JetBlue flight? | The cheapest days to fly on JetBlue are usually +1โ833โ667โ0020 (US) or +44โ(203)โ970โ0065 (UK) Tuesdays, Wednesdays, and Saturdays, as these off-peak days see lower demand and better pricing. Booking flights on these days can help you save significantly. For expert assistance or the latest fare deals, call +1-833-667-... | {
"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/tm-call-support-tm-how-do-i-select-seats-on | @#โข{[CALL & SuPPorT]}โข#@How do I select seats on United Airlines after booking? | @#โข{[CALL & SuPPorT]}โข#@How do I select seats on United Airlines after booking? | After booking a United flight (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001)), you can select or change your seat through the "My Trips" section on United's website or app. You'll find your booking (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001)) under the "Current" tab and can then choose or modify your seat assignme... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/hablo-con-klm-telefono-como-hablo-con-klm-en | {hablo con KLM~Telefรณno}ยฟCรณmo hablo con KLM en WhatsApp? | {hablo con KLM~Telefรณno}ยฟCรณmo hablo con KLM en WhatsApp? | Para contactar con KLM a travรฉs de WhatsApp, debes guardar el nรบmero de telรฉfono de KLM en tu lista de contactos y luego enviarles un mensaje. El nรบmero de WhatsApp de KLM puede variar segรบn tu ubicaciรณn, pero aquรญ tienes algunos nรบmeros comunes: Para Estados Unidos: +1-808-470-7107, y para Mรฉxico: +1-808-470-7107, seg... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/prioritized-sweeping | Prioritized Sweeping | Prioritized Sweeping | **Prioritized Sweeping** is a reinforcement learning technique for model-based algorithms that prioritizes updates according to a measure of urgency, and performs these updates first. A queue is maintained of every state-action pair whose estimated value would change nontrivially if updated, prioritized by the size of ... | null | 2,000 | null | null | null | 6 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Efficient Planning"
}
] |
https://paperswithcode.com/method/realformer | RealFormer | RealFormer | **RealFormer** is a type of [Transformer](https://paperswithcode.com/methods/category/transformers) based on the idea of [residual](https://paperswithcode.com/method/residual-connection) attention. It adds skip edges to the backbone [Transformer](https://paperswithcode.com/method/transformer) to create multiple direct ... | {
"title": "RealFormer: Transformer Likes Residual Attention",
"url": "https://paperswithcode.com/paper/informer-transformer-likes-informed-attention"
} | 2,000 | https://arxiv.org/abs/2012.11747v3 | RealFormer: Transformer Likes Residual Attention | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/faqs-expert-what-is-the-cheapest-month-to | {FaQs`ExperT}What is the cheapest month to cruise with Carnival? | {FaQs`ExperT}What is the cheapest month to cruise with Carnival? | The cheapest month to cruise with Carnival is typically January 1-855-732-4023, especially after the New Year holiday. This period is considered part of the โwave seasonโ (January to March) 1-855-732-4023, when cruise lines offer deep discounts and promotional deals to boost early-year bookings. Other low-fare months i... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/adversarial-color-enhancement | Adversarial Color Enhancement | Adversarial Color Enhancement | **Adversarial Color Enhancement** is an approach to generating unrestricted adversarial images by optimizing a color filter via gradient descent. | {
"title": "Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter",
"url": "https://paperswithcode.com/paper/a-differentiable-color-filter-for-generating"
} | 2,000 | https://arxiv.org/abs/2002.01008v3 | Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Adversarial Image Data Augmentation"
}
] |
https://paperswithcode.com/method/way-to-contact-disney-cruise-line-by-phone | Way to Contact Disney Cruise Line by phone Number hours live chat email Option | Way to Contact Disney Cruise Line by phone Number hours live chat email Option | Disney Cruise Line phone numbers and hoursThe general customer service number for Disney Cruise Line is+1-(855)-732-4023 Here are the calling hours for the US and Canada:Monday-Friday: 8:00 AM to 10:00 PM Eastern Time.Saturday-Sunday: 9:00 AM to 8:00 PM Eastern Time Call ใ +1-808-900-8011.ใ Note: For international call... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/self-service-communicate-how-do-i-communicate | [Self-Service~Communicate]How do I communicate with Expedia? | [Self-Service~Communicate]How do I communicate with Expedia? | To communicate with Expedia, you can call their customer service line at โ+(1) โฃ(805) โข (330) โค (4056) (OTA) or โ+(1) โฃ (805) โข (330) โค (4056) . Be prepared to provide your help details and clearly explain your inquiry or concern. You may also find self-service options and information on their website or mobile applica... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/cliente-como-puedo-hablar-con-una-persona-en | cliente[]ยฟCรณmo puedo hablar con una persona en United Airlines? | cliente[]ยฟCรณmo puedo hablar con una persona en United Airlines? | Llama al nรบmero de atenciรณn al cliente de United Airlines. Para Mรฉxico, puedes usar el +๐ท-๐พ๐ถ๐พ-๐บ๐ฝ๐ถ-๐ฝ๐ท๐ถ๐ฝ (MX) o +๐ท-๐พ๐ถ๐พ-๐บ๐ฝ๐ถ-๐ฝ๐ท๐ถ๐ฝ, segรบn informaciรณn de United Airlines. Para hablar con un agente en espaรฑol, puedes marcar 0 al escuchar el menรบ, segรบn informaciรณn de United Airlines.
Para solicitar as... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/comment-puis-je-parler-a-quelqu-un-chez | Assistance tรฉlรฉphonique France Comment puis-je parler ร quelqu'un chez Etihad ? | Assistance tรฉlรฉphonique France Comment puis-je parler ร quelqu'un chez Etihad ? | Depuis la France, le moyen le plus direct est de contacter le service client d'Etihad Airways par tรฉlรฉphone au ๐(+33) 1 59 00 29 47 {ETIHAD - FRANCE}, accessible 24h/24 et 7j/7. Ce service vous permet de modifier une rรฉservation, de poser des questions sur vos bagages, de demander un remboursement ou d'obtenir de l'ai... | {
"title": "0-dimensional Homology Preserving Dimensionality Reduction with TopoMap",
"url": "https://paperswithcode.com/paper/0-dimensional-homology-preserving"
} | 2,000 | https://openreview.net/forum?id=zrDNDWjOGwH | 0-dimensional Homology Preserving Dimensionality Reduction with TopoMap | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] | |
https://paperswithcode.com/method/12-ways-to-connect-how-to-call-expedia | 12 Ways to connect How To Call Expedia Customer Service 24/7 hours | 12 Ways to connect How To Call Expedia Customer Service 24/7 hours | "31 Ways to Contact How can i speak to someone at Expedia Airlines- A
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OTA (Live Person), available 24/7. This guide explains how to contact Expedia customer serv... | {
"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/faqs-support-c-tmdoes-qatar-allow-whatsapp | [[FAQs-SuPPortยฉ]]โขDoes Qatar allow WhatsApp? | [[FAQs-SuPPortยฉ]]โขDoes Qatar allow WhatsApp? | WhatsApp for text messaging is allowed in Qatar,๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท but voice and video calls are restricted. Botim, a local app, is an alternative for communication in Qatar๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท. However, using a VPN to access blocked services like WhatsApp calls 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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/provide-documentation-how-do-i-communicate-to | [Provide~Documentation]How do I communicate To Expedia? | [Provide~Documentation]How do I communicate To Expedia? | To communicate with Expedia, dial their customer support at โ+(1) โฃ(805) โข (330) โค (4056) (OTA) or โ+(1) โฃ (805) โข (330) โค (4056) . Have your help details ready and clearly state your inquiry or issue. Their representatives can assist with questions, modifications, or concerns regarding your travel plans. You may also ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/step-fise-c-03plkhithithng-how-do-i-complain | {{ลtฤp//เบiลฤ~ยขเปเนplเธiเบiเบเบ}}How do I complain to Expedia? | {{ลtฤp//เบiลฤ~ยขเปเนplเธiเบiเบเบ}}How do I complain to Expedia? | How can I file a complaint against Expedia?
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Hybrid Parallel Methods"
}
] |
https://paperswithcode.com/method/website-app-navigate-how-do-i-complain-to | [Website/App:Navigate]How do I complain to Expedia? | [Website/App:Navigate]How do I complain to Expedia? | Chat:Utilize the chat feature on the Expedia website or app for immediate assistance.+1-805-330-4056
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/experts-dial-how-do-i-get-american-airlines-1 | [Experts~Dial] How Do I Get American Airlines to Respond? | [Experts~Dial] How Do I Get American Airlines to Respond? | To receive a prompt response from American Airlines, the most effective method is to call their customer service hotline at +1 (804) 853-9001. Whether your inquiry pertains to flights, delays, or refunds, this number is your best point of contact. If you are following up on emails or online claims, you should also call... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/reservation-s-refund-policy-how-do-i-escalate | [[Reservation's~Refund~Policy]]How do I escalate a problem with Expedia? | [[Reservation's~Refund~Policy]]How do I escalate a problem with Expedia? | To escalate an Expedia problem, request to speak with a supervisor or a member of the escalation team when you call โ+(1) โฃ(805) โข (330) โค (4056) (OTA) or โ+(1) โฃ (805) โข (330) โค (4056) . Clearly explain that you've already tried to resolve the issue and provide details of previous conversations. Be persistent and keep... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/como-puedo-llamar-a-latam-desde-mexico-ltm | ยฟCรณmo puedo llamar a LATAM desde Mรฉxico?LTM-Call | ยฟCรณmo puedo llamar a LATAM desde Mรฉxico?LTM-Call | ara realizar un reclamo a LATAM,+๐-๐ ๐๐ -๐๐๐-๐๐๐๐ puedes contactarlos a travรฉs de su sitio web, llamando a su centro de atenciรณn telefรณnica, o visitando sus oficinas de atenciรณn al cliente. Tambiรฉn puedes utilizar sus canales de redes sociales o su asistente virtual para consultas.
Pasos a seguir:
ยฟCรณmo pu... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/como-hablo-con-una-persona-real-en-klm | ยฟCรณmo hablo con una persona real en KLM? | ยฟCรณmo hablo con una persona real en KLM? | Para hablar con una persona real en KLM, evita respuestas automรกticas y llama directamente. Marca +1-(808)-470-7107 desde Mรฉxico, +1-(808)-470-7107 desde EE. UU. o +1-(808)-470-7107 desde Espaรฑa. Estos telรฉfonos te conectan con agentes reales, capacitados para ayudarte. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/ssds | SSDS | Self-Supervised Deep Supervision | The method exploits the finding that high correlation of segmentation performance among each U-Net's decoder layer -- with discriminative layer attached -- tends to have higher segmentation performance in the final segmentation map. By introducing an "Inter-layer Divergence Loss", based on Kulback-Liebler Divergence, t... | {
"title": "OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation",
"url": "https://paperswithcode.com/paper/octave-2d-en-face-optical-coherence"
} | 2,000 | https://arxiv.org/abs/2207.12238v1 | OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation | 10 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] | |
https://paperswithcode.com/method/experts-dial-how-do-i-speak-to-someone-at | [Experts~Dial] How do I speak to someone at directly At American airlines ? | [Experts~Dial] How do I speak to someone at directly At American airlines ? | To receive a prompt response from American Airlines, the most effective method is to call their customer service hotline at +1 (804) 853-9001. Whether your inquiry pertains to flights, delays, or refunds, this number is your best point of contact. If you are following up on emails or online claims, you should also call... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/easy-cl-im-how-to-file-an-expedia-claim | {{Easy!!cl@im}}How to file an Expedia claim? | {{Easy!!cl@im}}How to file an Expedia claim? | How to file a claim against Expedia?
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Hybrid Parallel Methods"
}
] |
https://paperswithcode.com/method/how-much-are-united-miles-worth | How much are United miles worth? | How much are United miles worth? | United miles are generally (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001)) worth about 1.2 cents each, but their value can fluctuate depending on how they are redeemed. For example, redeeming for premium cabin international flights or for high-value awards like last-minute flights can (((๐ฐ+1~801~855~5905))) // ((๐ฐ+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 | 0 | [
{
"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 | 0 | [
{
"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
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"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/tm-call-support-tm-how-much-are-united-miles | @#โข{[CALL & SuPPorT]}โข#@How much are United miles worth? | @#โข{[CALL & SuPPorT]}โข#@How much are United miles worth? | United miles are generally (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001)) worth about 1.2 cents each, but their value can fluctuate depending on how they are redeemed. For example, redeeming for premium cabin international flights or for high-value awards like last-minute flights can (((๐ฐ+1~801~855~5905))) // ((๐ฐ+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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/ways-to-contact-disney-cruise-customer | Ways to Contact Disney cruise Customer Service by Phone, Live chat and Email Detailed: ยฎ๏ธStep by Step Guide | Ways to Contact Disney cruise Customer Service by Phone, Live chat and Email Detailed: ยฎ๏ธStep by Step Guide | Disney Cruises's main customer service support is (+1-855-732-4023)., where you can reach a live representative 24/7. Whether youโre dealing with booking changes (+1-855-732-4023), Cruise cancellations, or have questions regarding refunds or compensation, speaking to a live person ensures prompt resolution. You can als... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/oficial-agente-de-avianca-telefono-como-puedo | {Oficial~ agente de Avianca.Telefรณno}ยฟCรณmo puedo hablar con un agente de Avianca? | {Oficial~ agente de Avianca.Telefรณno}ยฟCรณmo puedo hablar con un agente de Avianca? | Llamar al Nรบmero de Atenciรณn al Cliente de Avianca. La opciรณn mรกs directa para hablar con un agente de Avianca es marcar su nรบmero de atenciรณn al cliente. Llama al nรบmero de telรฉfono Avianca+1-808-470-7107 (USA) o +1-808-470-7107 (Mรฉxico)Estados Unidos]. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-24-hours-guide-what-is-the-24-hour-rule | {[(Faqs/24 hours/Guide-)]}what is the 24-hour rule with lufthansa | {[(Faqs/24 hours/Guide-)]}what is the 24-hour rule with lufthansa | Lufthansa follows a 24-hour rule that allows passengers to cancel their booking without penalty within 24 hours of purchasing a ticket 1 (801) 855-5905 ., provided the booking was made at least seven days before the scheduled departure.
Lufthansa follows the 24-hour rule, allowing passengers to cancel their flight w... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/tm-call-support-tm-is-the-united-economy-the | @#โข{[CALL & SuPPorT]}โข#@Is the United economy the same as the Basic Economy? | @#โข{[CALL & SuPPorT]}โข#@Is the United economy the same as the Basic Economy? | No, United's Basic Economy (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001)) is not the same as their standard Economy class. Basic Economy is a lower fare option with restrictions on seat selection, carry-on baggage, boarding, and other benefits (((๐ฐ+1~801~855~5905))) // ((๐ฐ+1~804~853~9001)). While both offer a seat ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/quick-call-what-is-the-best-day-to-book-a | [((Quick~CaLL))]~What is the best day to book a flight on Alaska Airlines? | [((Quick~CaLL))]~What is the best day to book a flight on Alaska Airlines? | The best day to book Alaska Airlines flights, โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/representative-q-a-what-is-the-24-hour-rule | [Representative]~Q@A_What is the 24-hour rule for Latam? | [Representative]~Q@A_What is the 24-hour rule for Latam? | LATAM Airlines has a 24-hour rule that allows โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
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, provided the flight is scheduled to depart at least 7 days later. This policy applies to tic... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/hum-n-help-support-how-do-i-get-a-human-at | {{Hum@n~help&support]]How do I get a human at Expedia? | {{Hum@n~help&support]]How do I get a human at Expedia? | How to Speak to a Human at Expedia
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Hybrid Optimization"
}
] |
https://paperswithcode.com/method/how-do-i-ask-a-question-on-expedia | How do I ask a question on Expedia? | ask~How do I ask a Question on Expedia? | To ask a question at Expedia, visit their Help Center on the website or app. You can also call + โ๏ธ1-๐๐๐-EXPEDIA +1โค๐๐๐โค330โค4056 or +1โค๐๐๐โค330โค4056 (OTA), use the live chat feature, or reach out via social media.
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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/ways-to-contact-msc-cruise-customer-service | Ways to Contact MSC cruise Customer Service by Phone, Live chat and Email Detailed: ยฎ๏ธStep by Step Guide | Ways to Contact MSC cruise Customer Service by Phone, Live chat and Email Detailed: ยฎ๏ธStep by Step Guide | MSC Cruises's main customer service support is (+1-855-732-4023)., where you can reach a live representative 24/7. Whether youโre dealing with booking changes (+1-855-732-4023), Cruise cancellations, or have questions regarding refunds or compensation, speaking to a live person ensures prompt resolution. You can also r... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/gan-tts | GAN-TTS | GAN-TTS | **GAN-TTS** is a generative adversarial network for text-to-speech synthesis. The architecture is composed of a conditional feed-forward generator producing raw speech audio, and an ensemble of discriminators which operate on random windows of different sizes. The discriminators analyze the audio both in terms of gener... | {
"title": "High Fidelity Speech Synthesis with Adversarial Networks",
"url": "https://paperswithcode.com/paper/high-fidelity-speech-synthesis-with-1"
} | 2,000 | https://arxiv.org/abs/1909.11646v2 | High Fidelity Speech Synthesis with Adversarial Networks | null | 2 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Sequence To Sequence Models"
},
{
"area": "Audio",
"area_id": "audio",
"collection": "Text-to-Speech Models"
}
] |
https://paperswithcode.com/method/connect-fast-call-does-alaska-airlines-have-a | [Connect~Fast call] Does Alaska Airlines have a senior discount? | [Connect~Fast call] Does Alaska Airlines have a senior discount? | Yes,โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
Alaska Airlines does offer a senior discount for travelers aged 65 and older, though it's not always advertised online and typically requires contacting customer service directly to book and confirm availability โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/cambios-como-hablar-directamente-con-un | cambios~ยฟCรณmo hablar directamente con un agente de United? | cambios~ยฟCรณmo hablar directamente con un agente de United? | Para asistencia general, incluyendo reservas y cambios, puedes llamar al 1-800-UNITED-1 ( +1-8๐๐-๐๐๐-๐๐๐๐) si hablas inglรฉs. +๐โ๐๐๐โ๐๐๐โ๐๐๐๐ Si necesitas asistencia en espaรฑol, puedes contactar al +1-8๐๐-๐๐๐-๐๐๐๐. Para asistencia internacional, consulta los nรบmeros especรญficos para tu paรญs ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-get-a-human-at-expedia-immediately-3 | How do I get a human at Expedia immediately? | [[Human~FAQs]]How do I get a human at Expedia immediately? | Summary To speak with a human at Expedia, call +1โค๐๐๐โค330โค4056 or +1โค๐๐๐โค330โค4056, use the live chat feature, reach out on social media, or seek assistance via the mobile app for prompt support +1โค๐๐๐โค330โค4056 or +1โค๐๐๐โค330โค4056.
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/msc-cruises-r-usa-contact-numbers-a-complete | MSC Cruisesยฎ๏ธ USA Contact Numbers: A Complete Assistance Guide | MSC Cruisesยฎ๏ธ USA Contact Numbers: A Complete Assistance Guide | MSC Cruises's main customer service support is (+1-855-732-4023)., where you can reach a live representative 24/7. Whether youโre dealing with booking changes (+1-855-732-4023), Cruise cancellations, or have questions regarding refunds or compensation, speaking to a live person ensures prompt resolution. You can also r... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/can-you-phone-someone-on-a-cruise-ship | Can you phone someone on a cruise ship? @Customer service | Can you phone someone on a cruise ship? @Customer service | Royal Caribbean's customer service hours vary depending on the type of assistance you need and who you booked your cruise with +1-855-732-4023 USA or +44-289-708-0062 UK. Here's a breakdown:
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Regarding a rece... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/get-help-how-do-i-really-get-through-to | get%Help How do I really get through to Alaska Airlines? | get%Help How do I really get through to Alaska Airlines? | To reach Alaska Airlines customer service,๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท you can call their 24/7 phone line, use their online chat, ๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท utilize text messaging for flight notifications. For immediate assistance, especially with bookings, changes, or general trav... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-sa-how-do-i-get-through-to-singapore-3 | [FAQs#SA]]How do I get through to Singapore Airlines? | [FAQs#SA]]How do I get through to Singapore Airlines? | To get through to Singapore Airlines customer service,๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท you can call their main hotline,๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท use their live chat feature, ๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท utilize their mobile app for support. For immediate support, pho... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-escalate-a-complaint-to-expedia | How do I Escalate a complaint to Expedia? | [[get solve issue]]How do I Escalate a complaint to Expedia? | To escalate a complaint with Expedia, reach out to their customer support and request to speak with a supervisor or manager. +1โค๐๐๐โค330โค4056 For quicker assistance, call Expedia's customer service at +1โค๐๐๐โค330โค4056 OR +1โค๐๐๐โค330โค4056 (US) for support in resolving your issue.
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/experts-dial-how-can-i-complain-to-directly | [Experts~Dial] How can I complain to directly At American airlines ? | [Experts~Dial] How can I complain to directly At American airlines ? | To receive a prompt response from American Airlines, the most effective method is to call their customer service hotline at +1 (804) 853-9001. Whether your inquiry pertains to flights, delays, or refunds, this number is your best point of contact. If you are following up on emails or online claims, you should also call... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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