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/24-ways-to-call-how-can-i-add-a-drink-package | 24 Ways to Call How can i add a drink package to Norwegian Cruises: A Full Support Guide | 24 Ways to Call How can i add a drink package to Norwegian Cruises: A Full Support Guide | Norwegian'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 recent cruise ex... | {
"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/way-to-contact-viking-cruise-refund-by-phone | Way to Contact viking cruise refund by phone number Email chat Online Option | Way to Contact viking cruise refund by phone number Email chat Online Option | You can contact Viking Cruises customer service to inquire about refunds by calling
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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/faqs-us-process-how-do-i-contact-princess | [[FAQs_(US)Process]] How do I contact Princess Cruises by phone in the USA? | [[FAQs_(US)Process]] How do I contact Princess Cruises by phone in the USA? | You can reach Princess Cruises' customer service to inquire about refunds by calling +1-855-732-4023 or +1-808-900-8011. Reasonable expenses that are a direct result of a change in your voyage or itinerary made by Princess Cruises may be submitted for consideration for reimbursement. For pre-cruise support, please use ... | {
"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/inquiries-what-number-is-800-227-6482 | [[Inquiries]]What number is 800 227 6482? | [[Inquiries]]What number is 800 227 6482? | The number 800-227-6482/1-855-732-4023 or 1-808-900-8011 is the emergency contact number for Carnival Cruise Line. It's specifically for family members not traveling with guests on a cruise to use in the event of a true emergency 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 | 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/f-aa-what-is-the-cheapest-day-to-book-flights | [F#AA]]What is the cheapest day to book flights with Alaska Airlines? | [F#AA]]What is the cheapest day to book flights with Alaska Airlines? | Research indicates that the cheapest days to book Alaska Airlines flights are typically📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷
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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/55-ways-to-contact-msc-cruise-cancellation-by | 55 Ways to Contact MSC Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | 55 Ways to Contact MSC Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | MSC Cruises Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
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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/ayuda-al-soporte-publico-como-hablar | [Ayuda al soporte público]¿Cómo hablar directamente con un agente de United? | [Ayuda al soporte público]¿Cómo hablar directamente con un agente de United? | Para hablar con un agente de United Airlines en México, llama al +1-808-470-7107 (MX) o +1-808-470-7107. Si estás en Estados Unidos, marca al +1-808-470-7107 (MX). Obtén soporte para tus consultas de viaje. | {
"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/1-888-829-0881-how-do-i-dispute-a-charge-on | (1)(888) 829 (0881) ||| How do I dispute a charge on Expedia? | (1)(888) 829 (0881) ||| How do I dispute a charge on Expedia? | How Do I File a Dispute with Expedia If you need to dispute a charge with Expedia, call their customer service at +1-888-829-0881 or +1-805-330-4056. For a quicker resolution, be prepared with your booking details, payment receipts, and any supporting documents when speaking with a representative.
To resolve a dispu... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/can-you-wear-jeans-on-azamara | Can you wear jeans on Azamara? | Can you wear jeans on Azamara? | What is the dress code? In all of our dining rooms we encourage guests to follow a “resort casual” dress code, following good taste and common sense +1-855-732-4023. Bare feet, tank tops, baseball caps, bathing suits, shorts, and jeans are not allowed in the main dining room or two specialty restaurants +1-855-732-4023... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/communicate-guide-how-can-i-communicate-with | {communicate~Guide}} How can I communicate with Alaska? | {communicate~Guide}} How can I communicate with Alaska? | What is the 24 hour rule for Copa Airlines? The "24-hour rule" for Copa flights ( 1⇌8.01-85.5⇌59.05) or ( 1⇌8.04-85.3⇌90.01) allows passengers to cancel a flight booking within 24 hours of purchase for a full refund ( 1⇌8.01-85.5⇌59.05) or ( 1⇌8.04-85.3⇌90.01), provided the flight was booked at least seven days before ... | {
"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": "Action Recognition Models"
}
] |
https://paperswithcode.com/method/27-ways-to-connect-how-can-i-upgrade-my | 27 Ways to Connect How can i upgrade my Celebrity Cruises drink package: A Full Support Guide | 27 Ways to Connect How can i upgrade my Celebrity Cruises drink package: A Full Support Guide | Celebrity'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:
Celebrity International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/wavetts | WaveTTS | WaveTTS | **WaveTTS** is a [Tacotron](https://paperswithcode.com/method/tacotron)-based text-to-speech architecture that has two loss functions: 1) time-domain loss, denoted as the waveform loss, that measures the distortion between the natural and generated waveform; and 2) frequency-domain loss, that measures the Mel-scale aco... | {
"title": "WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss",
"url": "https://paperswithcode.com/paper/wavetts-tacotron-based-tts-with-joint-time"
} | 2,000 | https://arxiv.org/abs/2002.00417v3 | WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss | null | 1 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Sequence To Sequence Models"
},
{
"area": "Audio",
"area_id": "audio",
"collection": "Text-to-Speech Models"
}
] |
https://paperswithcode.com/method/drop-prices-does-american-airlines-drop | ((Drop*Prices))Does American Airlines drop prices on Tuesdays? | ((Drop*Prices))Does American Airlines drop prices on Tuesdays? | Yes,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 it is a common belief and often true that American Airlines (and many other airlines) tend to drop prices on Tuesdays. This is because airlines often release new fares and sales on Monday evenings,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 and by Tuesday morning, 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/faqs-a-what-is-the-cheapest-day-of-the-week | ((FAQs%A))What is the cheapest day of the week to fly to Alaska? | ((FAQs%A))What is the cheapest day of the week to fly to Alaska? | The cheapest days to fly to Alaska on Alaska Airlines are typically Tuesdays and Wednesdays.📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 These days are often less expensive due to lower demand compared to weekends. Saturdays can also be a good option,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 while Sundays and Mo... | {
"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-alaska-telefono-como-puedo-cambiar-un | {Oficial@Alaska Telefóno}¿Cómo puedo cambiar un vuelo de Alaska Airlines? | {Oficial@Alaska Telefóno}¿Cómo puedo cambiar un vuelo de Alaska Airlines? | Para modificar un vuelo de Alaska Airlines, visita su sitio web o contacta al 【 +1-808-470-7107】 (MX) y 【+1-808-470-7107】 (EE. UU.). Podrás cambiar fechas, horarios o destinos según disponibilidad. | {
"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-help-how-do-i-get-a-response-from | %FAQs^Help How do I get a response from Singapore Airlines? | %FAQs^Help How do I get a response from Singapore Airlines? | To get a response from Singapore Airlines,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 you have several options: call their customer service line,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 use their mobile app, or submit a request through their website. For urgent matters,📞+1-801-(855)-(5905) or +1-804-(853)-(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/moga-c | MoGA-C | MoGA-C | **MoGA-C** is a convolutional neural network optimized for mobile latency and discovered via Mobile GPU-Aware (MoGA) [neural architecture search](https://paperswithcode.com/method/neural-architecture-search). The basic building block is MBConvs (inverted residual blocks) from [MobileNetV2](https://paperswithcode.com/me... | {
"title": "MoGA: Searching Beyond MobileNetV3",
"url": "https://paperswithcode.com/paper/moga-searching-beyond-mobilenetv3"
} | 2,000 | https://arxiv.org/abs/1908.01314v4 | MoGA: Searching Beyond MobileNetV3 | https://github.com/xiaomi-automl/MoGA/blob/5ddc4bb9a1be845953947f6ec056cfce5ef965b9/models/MoGA_C.py#L122 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Light-weight neural networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/predator | PREDATOR | PREDATOR | **PREDATOR** is a model for pairwise point-cloud registration with deep attention to the overlap region. Its key novelty is an overlap-attention block for early information exchange between the latent encodings of the two point clouds. In this way the subsequent decoding of the latent representations into per-point fea... | {
"title": "PREDATOR: Registration of 3D Point Clouds with Low Overlap",
"url": "https://paperswithcode.com/paper/predator-registration-of-3d-point-clouds-with"
} | 2,000 | https://arxiv.org/abs/2011.13005v3 | PREDATOR: Registration of 3D Point Clouds with Low Overlap | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Point Cloud Models"
}
] |
https://paperswithcode.com/method/r2d2 | R2D2 | Recurrent Replay Distributed DQN | Building on the recent successes of distributed training of RL agents, R2D2 is an RL approach that trains a RNN-based RL agents from distributed prioritized experience replay.
Using a single network architecture and fixed set of hyperparameters, Recurrent Replay Distributed DQN quadrupled the previous state of the ar... | {
"title": "Recurrent Experience Replay in Distributed Reinforcement Learning",
"url": "https://paperswithcode.com/paper/recurrent-experience-replay-in-distributed"
} | 2,000 | https://openreview.net/forum?id=r1lyTjAqYX | Recurrent Experience Replay in Distributed Reinforcement Learning | null | 25 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Offline Reinforcement Learning Methods"
}
] |
https://paperswithcode.com/method/faq-s-travel-is-there-a-grace-period-for-klm | FAQ's TraveL - Is there a grace period for KLM? | FAQ's TraveL - Is there a grace period for KLM? | Yes, KLM offers a 24-hour grace period for cancellations and modifications on flights purchased directly through them １ー（８０１）ー８５５ー５９０５, as long as the booking was made at least 7 days before departure. This allows you to cancel or change your flight within 24 hours of purchase without incurring any fees, １ー（８０１）ー８５５ー５９... | {
"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/resgld | reSGLD | Replica exchange stochastic gradient Langevin Dynamics | reSGLD proposes to simulate a high-temperature particle for exploration and a low-temperature particle for exploitation and allows them to swap simultaneously. Moreover, a correction term is included to avoid biases. | {
"title": "Non-convex Learning via Replica Exchange Stochastic Gradient MCMC",
"url": "https://paperswithcode.com/paper/non-convex-learning-via-replica-exchange"
} | 2,000 | https://arxiv.org/abs/2008.05367v3 | Non-convex Learning via Replica Exchange Stochastic Gradient MCMC | https://github.com/gaoliyao/Replica_Exchange_Stochastic_Gradient_MCMC | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Markov Chain Monte Carlo"
}
] |
https://paperswithcode.com/method/29-ways-to-dial-how-do-i-purchase-beverage | 29 Ways to Dial How do i purchase beverage packages for Celebrity Cruises: A Full Support Guide | 29 Ways to Dial How do i purchase beverage packages for Celebrity Cruises: A Full Support Guide | Celebrity'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:
Celebrity International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "6D Pose Estimation Models"
}
] |
https://paperswithcode.com/method/mixup | Mixup | Mixup | **Mixup** is a data augmentation technique that generates a weighted combination of random image pairs from the training data. Given two images and their ground truth labels: $\left(x\_{i}, y\_{i}\right), \left(x\_{j}, y\_{j}\right)$, a synthetic training example $\left(\hat{x}, \hat{y}\right)$ is generated as:
$$ \... | {
"title": "mixup: Beyond Empirical Risk Minimization",
"url": "https://paperswithcode.com/paper/mixup-beyond-empirical-risk-minimization"
} | 2,000 | http://arxiv.org/abs/1710.09412v2 | mixup: Beyond Empirical Risk Minimization | https://github.com/facebookresearch/mixup-cifar10 | 651 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] |
https://paperswithcode.com/method/tunable-network | Tunable Network | Tunable Network | {
"title": "Deep Network Interpolation for Continuous Imagery Effect Transition",
"url": "https://paperswithcode.com/paper/deep-network-interpolation-for-continuous"
} | 2,000 | http://arxiv.org/abs/1811.10515v1 | Deep Network Interpolation for Continuous Imagery Effect Transition | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Domain Adaptation"
}
] | |
https://paperswithcode.com/method/sophia | Sophia | Second-order Clipped Stochastic Optimization | Please enter a description about the method here | {
"title": "Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training",
"url": "https://paperswithcode.com/paper/sophia-a-scalable-stochastic-second-order"
} | 2,000 | https://arxiv.org/abs/2305.14342v4 | Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/vq-vae | VQ-VAE | VQ-VAE | **VQ-VAE** is a type of variational autoencoder that uses vector quantisation to obtain a discrete latent representation. It differs from [VAEs](https://paperswithcode.com/method/vae) in two key ways: the encoder network outputs discrete, rather than continuous, codes; and the prior is learnt rather than static. In ord... | {
"title": "Neural Discrete Representation Learning",
"url": "https://paperswithcode.com/paper/neural-discrete-representation-learning"
} | 2,000 | http://arxiv.org/abs/1711.00937v2 | Neural Discrete Representation Learning | 197 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Likelihood-Based Generative Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] | |
https://paperswithcode.com/method/seqint | SeqINT | Sequential Information Threading | Unsupervised machine learning approach for identifying information threads by leveraging answers to 5W1H questions from documents, the temporal relationships between documents and hierarchical agglomerative clustering (HAC). | {
"title": "Identifying chronological and coherent information threads using 5W1H questions and temporal relationships",
"url": "https://paperswithcode.com/paper/identifying-chronological-and-coherent"
} | 2,000 | https://www.sciencedirect.com/science/article/pii/S0306457323000110 | Identifying chronological and coherent information threads using 5W1H questions and temporal relationships | null | 0 | [] |
https://paperswithcode.com/method/what-has-happened-to-azamara | What has happened to Azamara? | What has happened to Azamara? | Royal Caribbean sold Azamara to Sycamore Partners during the pandemic shutdown and cruisers who'd tried it contacted me saying the line was nothing like it had had been, and it was rapidly going downhill +1-855-732-4023.
Azamara was sold to Sycamore Partners, a private equity group that quickly announced it had purcha... | {
"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/linea-de-ayuda-oficial-como-hablar-con | {Línea de ayuda oficial}¿Cómo hablar con alguien de Latam? | {Línea de ayuda oficial}¿Cómo hablar con alguien de Latam? | LATAM ofrece números de teléfono específicos para cada país y tipo de consulta. Por ejemplo, para México, puedes llamar al +1-808-470-7107 (OTA). Si estás en Estados Unidos, puedes marcar +1-808-470-7107. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/densenet-elastic | DenseNet-Elastic | DenseNet-Elastic | **DenseNet-Elastic** is a convolutional neural network that is a modification of a [DenseNet](https://paperswithcode.com/method/densenet) with elastic blocks (extra upsampling and downsampling). | {
"title": "ELASTIC: Improving CNNs with Dynamic Scaling Policies",
"url": "https://paperswithcode.com/paper/elastic-improving-cnns-with-instance-specific"
} | 2,000 | http://arxiv.org/abs/1812.05262v2 | ELASTIC: Improving CNNs with Dynamic Scaling Policies | https://github.com/allenai/elastic/blob/57345c600c63fbde163c41929d6d6dd894d408ce/models/densenet.py#L115 | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/mbs | MBS | Model-based Subsampling | To avoid the problem caused by low-frequent entity-relation pairs, our MBS uses the estimated probabilities from a trained model $\mathbf{\theta}'$ to calculate frequencies for each triplet and query. By using $\mathbf{\theta}'$, the NS loss in KGE with MBS is represented as follows:
\begin{align}
&\ell_{mbs}(\ma... | {
"title": "Model-based Subsampling for Knowledge Graph Completion",
"url": "https://paperswithcode.com/paper/model-based-subsampling-for-knowledge-graph"
} | 2,000 | https://arxiv.org/abs/2309.09296v1 | Model-based Subsampling for Knowledge Graph Completion | 11 | [
{
"area": "General",
"area_id": "general",
"collection": "Negative Sampling"
}
] | |
https://paperswithcode.com/method/can-you-dispute-with-expedia-help-now | Can you dispute with Expedia?#Help-Now | Can you dispute with Expedia?#Help-Now | To dispute with Expedia, contact Customer Support via phone +1-888-829-0881 or +1-805-330-4056, chat, or email to explain the issue. If unresolved, dispute the charge with your bank or credit card provider. You can also file a formal complaint with the Better Business Bureau (BBB) or escalate the issue via social media... | {
"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/weight-normalization | Weight Normalization | Weight Normalization | **Weight Normalization** is a normalization method for training neural networks. It is inspired by [batch normalization](https://paperswithcode.com/method/batch-normalization), but it is a deterministic method that does not share batch normalization's property of adding noise to the gradients. It reparameterizes each $... | {
"title": "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks",
"url": "https://paperswithcode.com/paper/weight-normalization-a-simple"
} | 2,000 | http://arxiv.org/abs/1602.07868v3 | Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks | https://github.com/pytorch/pytorch/blob/1c5c289b6218eb1026dcb5fd9738231401cfccea/torch/nn/utils/weight_norm.py#L8 | 88 | [
{
"area": "General",
"area_id": "general",
"collection": "Normalization"
}
] |
https://paperswithcode.com/method/class-mlp | Class-MLP | Class-MLP | **Class-MLP** is an alternative to [average pooling](https://paperswithcode.com/method/average-pooling), which is an adaptation of the class-attention token introduced in [CaiT](https://paperswithcode.com/method/cait). In CaiT, this consists of two layers that have the same structure as the [transformer](https://papers... | {
"title": "ResMLP: Feedforward networks for image classification with data-efficient training",
"url": "https://paperswithcode.com/paper/resmlp-feedforward-networks-for-image"
} | 2,000 | https://arxiv.org/abs/2105.03404v2 | ResMLP: Feedforward networks for image classification with data-efficient training | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Pooling Operations"
}
] |
https://paperswithcode.com/method/30-ways-to-call-how-can-i-add-a-drink-package | 30 Ways to Call How can i add a drink package to Celebrity Cruises: A Full Support Guide | 30 Ways to Call How can i add a drink package to Celebrity Cruises: A Full Support Guide | Celebrity'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:
Celebrity International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/fasttext | fastText | fastText | **fastText** embeddings exploit subword information to construct word embeddings. Representations are learnt of character $n$-grams, and words represented as the sum of the $n$-gram vectors. This extends the word2vec type models with subword information. This helps the embeddings understand suffixes and prefixes. Once ... | {
"title": "Enriching Word Vectors with Subword Information",
"url": "https://paperswithcode.com/paper/enriching-word-vectors-with-subword"
} | 2,000 | http://arxiv.org/abs/1607.04606v2 | Enriching Word Vectors with Subword Information | null | 240 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Static Word Embeddings"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Word Embeddings"
}
] |
https://paperswithcode.com/method/what-happened-to-azamara-cruises | What happened to Azamara Cruises? | What happened to Azamara Cruises? | Royal Caribbean sold Azamara to Sycamore Partners during the pandemic shutdown and cruisers who'd tried it contacted me saying the line was nothing like it had had been, and it was rapidly going downhill +1-855-732-4023.
Azamara was sold to Sycamore Partners, a private equity group that quickly announced it had purcha... | {
"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-how-do-i-check-if-my-flight-ticket-is | [[Booking-𝓞𝓿𝓮𝓻𝓿𝓲𝓮𝔀]]How do I check if my flight ticket is confirmed or not? | [[Booking-𝓞𝓿𝓮𝓻𝓿𝓲𝓮𝔀]]How do I check if my flight ticket is confirmed or not? | To check if your flight ticket is confirmed (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001))) , you can verify it on the airline's website or app by entering your booking (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001))) reference (PNR) and last name. You can also check through your online travel agency's website or by... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-cancel-my-azamara-cruise | How do I cancel my Azamara cruise? | How do I cancel my Azamara cruise? | 74–61 days before sailing: 25% of your total fare is forfeited 1-855-732-4023 (USA) or 44-289-708-0062 (UK) based on standard policy. 60–31 days prior: 50% of the cruise fare is charged as a penalty 1-855-732-4023 (USA) or 44-289-708-0062 (UK) so the refund is half. 30–15 days before departure: You lose 75% of the paid... | {
"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/visual-parsing | Visual Parsing | Visual Parsing | Visual Parsing is a vision and language pretrained model that adopts self-attention for visual feature learning where each visual token is an approximate weighted mixture of all tokens. Thus, visual parsing provides the dependencies of each visual token pair. It helps better learning of visual relation with the langua... | {
"title": "Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training",
"url": "https://paperswithcode.com/paper/probing-inter-modality-visual-parsing-with-1"
} | 2,000 | https://openreview.net/forum?id=e0nZIFEpmYh | Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] | |
https://paperswithcode.com/method/textgrad | TextGrad | TextGrad | TextGrad is a powerful framework building automatic ``differentiation'' via text. TextGrad implements backpropagation through text feedback provided by LLMs, strongly building on the gradient metaphor | {
"title": "TextGrad: Automatic \"Differentiation\" via Text",
"url": "https://paperswithcode.com/paper/textgrad-automatic-differentiation-via-text"
} | 2,000 | https://arxiv.org/abs/2406.07496v1 | TextGrad: Automatic "Differentiation" via Text | https://github.com/zou-group/textgrad | 5 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/31-ways-to-call-can-i-speak-to-someone-about | 31 Ways to Call Can i speak to someone about Celebrity Cruises drink packages: A Full Support Guide | 31 Ways to Call Can i speak to someone about Celebrity Cruises drink packages: A Full Support Guide | Celebrity'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:
Celebrity International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/call-now-what-is-the-cheapest-day-to-fly-to | ((CALL NOW)) What is the cheapest day to fly to Hawaii? | ((CALL NOW)) What is the cheapest day to fly to Hawaii? | Several sources indicate that flying on weekdays,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅particularly Tuesdays, Wednesdays, and Thursdays, generally leads to the cheapest flights to Hawaii. | {
"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/call-agent-does-alaska-airlines-offer-senior | [Call~Agent] Does Alaska Airlines offer senior discounts for seniors | [Call~Agent] Does Alaska Airlines offer senior discounts for seniors | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Alaska Airlines does offer senior discounts, typically for travelers aged 65 and older, though these discounts are not always prominently advertised and may vary by route and availability.☎️+1-801-(855)-(5905) or +1-804-(853)-(9001) ✅To confirm eligibility and book a di... | {
"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/efficientunet | EfficientUNet++ | EfficientUNet++ | Decoder architecture inspired on the [UNet++](https://paperswithcode.com/method/unet) structure and the [EfficientNet](https://paperswithcode.com/method/efficientnet) building blocks. Keeping the UNet++ structure, the EfficientUNet++ achieves higher performance and significantly lower computational complexity through t... | {
"title": "Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation",
"url": "https://paperswithcode.com/paper/encoder-decoder-architectures-for-clinically"
} | 2,000 | https://arxiv.org/abs/2106.11447v1 | Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation | https://github.com/jlcsilva/segmentation_models.pytorch/blob/53c7f956ca557eb2cf386d28faacadf30ce4d0e2/segmentation_models_pytorch/efficientunetplusplus/decoder.py#L85 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
}
] |
https://paperswithcode.com/method/delta-airlines-peru-c-como-llamar-a-delta-en | {Delta Airlines Peru}©¿Cómo llamar a Delta en Perú? | {Delta Airlines Peru}©¿Cómo llamar a Delta en Perú? | Para contactar a Delta en Perú, puedes llamar al número de teléfono +1-808-470-7107. Este número te conectará con el centro de atención al cliente de Delta en Perú, donde podrás realizar consultas sobre vuelos, reservas y otros servicios. También puedes encontrar información y asistencia en su sitio web o redes sociale... | {
"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/q-a-call-anytime-anyway-how-do-i-ask-a | [Q*A]call anytime anyway How do I ask a question at Alaska Airlines? | [Q*A]call anytime anyway How do I ask a question at Alaska Airlines? | To ask a question at Alaska Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, you have several options: you can use their "Ask Alaska" AI-powered chat assistant, call their customer service line ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, or visit the "Contact Us" page on their website, according to Alaska Air... | {
"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-delta-can-i-upgrade-my-delta-seat-after-1 | [FAQs$Delta]Can I upgrade my Delta seat after purchase? | [FAQs$Delta]Can I upgrade my Delta seat after purchase? | Yes,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 Delta allows you to upgrade your seat after purchasing a ticket, both with miles and for a fee,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 subject to availability and fare rules. You can explore upgrade options through "My Trips" on delta.com or the Fly Delta app, �... | {
"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-does-alaska-airlines-have | @#™{[CALL & SuPPorT]}™#@Does Alaska Airlines have discounts for seniors? | @#™{[CALL & SuPPorT]}™#@Does Alaska Airlines have discounts for seniors? | Yes, Alaska Airlines (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001)) offers senior discounts for passengers aged 65 and older. These discounts are not always widely advertised and may be more common on international flights (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001)). It's best to contact Alaska Airlines customer... | {
"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/experience-replay | Experience Replay | Experience Replay | **Experience Replay** is a replay memory technique used in reinforcement learning where we store the agent’s experiences at each time-step, $e\_{t} = \left(s\_{t}, a\_{t}, r\_{t}, s\_{t+1}\right)$ in a data-set $D = e\_{1}, \cdots, e\_{N}$ , pooled over many episodes into a replay memory. We then usually sample the mem... | null | 1,993 | null | null | null | 865 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Replay Memory"
}
] |
https://paperswithcode.com/method/abcnet | ABCNet | Adaptive Bezier-Curve Network | **Adaptive Bezier-Curve Network**, or **ABCNet**, is an end-to-end framework for arbitrarily-shaped scene text spotting. It adaptively fits arbitrary-shaped text by a parameterized bezier curve. It also utilizes a feature alignment layer, [BezierAlign](https://paperswithcode.com/method/bezieralign), to calculate convol... | {
"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": "Scene Text Models"
}
] | |
https://paperswithcode.com/method/timecausgabor | timecausgabor | time-causal and time-recursive analogue of the Gabor transform | The time-causal and time-recursive analogue of the Gabor transform provides a way to define a Gabor-like time-frequency analysis for real-time signals, for which the future cannot be accessed. This is achieved by choosing the temporal window function in a windowed Fourier transform as the time-causal limit kernel, whic... | {
"title": "A time-causal and time-recursive analogue of the Gabor transform",
"url": "https://paperswithcode.com/paper/a-time-causal-and-time-recursive-analogue-of"
} | 2,000 | https://arxiv.org/abs/2308.14512v9 | A time-causal and time-recursive analogue of the Gabor transform | 1 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Multi-scale analysis"
},
{
"area": "General",
"area_id": "general",
"collection": "Fourier-related Transforms"
}
] | |
https://paperswithcode.com/method/gfcg | GFCG | Gradient-Free Classifier Guidance | Classifier guided sampling from diffusion models involves the computation of gradients of classifier probabilities, and this is computationally expensive as it involves the use of autograd operators. To mitigate this issue, Classifier-Free Guidance (CFG), was proposed to use an unconditional sample as a reference to in... | {
"title": "Gradient-Free Classifier Guidance for Diffusion Model Sampling",
"url": "https://paperswithcode.com/paper/gradient-free-classifier-guidance-for"
} | 2,000 | https://arxiv.org/abs/2411.15393v1 | Gradient-Free Classifier Guidance for Diffusion Model Sampling | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Generation Models"
}
] |
https://paperswithcode.com/method/booking-how-do-i-change-a-westjet-reservation | [[Booking-𝓞𝓿𝓮𝓻𝓿𝓲𝓮𝔀]]How do I change a WestJet reservation? | [[Booking-𝓞𝓿𝓮𝓻𝓿𝓲𝓮𝔀]]How do I change a WestJet reservation? | Yes, (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001))) you can change your flight date on Westjet Airlines, as long as your ticket allows for changes. Depending on the fare type, (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001))) you may need to pay a fee to change the date, and there may be a difference in the fare if ... | {
"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-delta-can-i-upgrade-my-delta-seat-after | {FAQs% Delta}Can I upgrade my Delta seat after purchase? | {FAQs% Delta}Can I upgrade my Delta seat after purchase? | Yes,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 Delta allows you to upgrade your seat after purchasing a ticket, both with miles and for a fee,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 subject to availability and fare rules. You can explore upgrade options through "My Trips" on delta.com or the Fly Delta app, �... | {
"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-help-are-copa-airlines-tickets-3 | FAQs%Help Are Copa Airlines tickets transferable? | FAQs%Help Are Copa Airlines tickets transferable? | No,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 Copa Airlines tickets are generally not transferable to another person.📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 They are typically linked to the original passenger's identity and cannot be assigned to someone else. | {
"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/que-es-la-regla-de-las-24-horas-para-latam | ¿Qué es la regla de las 24 horas para Latam? | ¿Qué es la regla de las 24 horas para Latam? | ¿Cuál es la regla de 24 horas para Latam? La política de 24 horas de Latam Airlines permite a los viajeros cancelar o modificar su reserva sin costo dentro de las 24 horas posteriores a la compra +1 808 470-7107 . [Nombre del país] +1 808 470-7107 𝕠𝕣 +1 808 470-7107. Reino Unido. Siempre que la reserva se haya compra... | {
"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",
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
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"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
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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 | 0 | [
{
"area": "General",
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"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
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}
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{
"area": "General",
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{
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
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{
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 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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} | 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": "Computer Vision",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
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}
] |
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