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/16-ways-to-call-can-i-speak-to-someone-about | 16 Ways to Call Can i speak to someone about Princess Cruises drink Packages ? | 16 Ways to Call Can i speak to someone about Princess Cruises drink Packages ? | Princess Cruise'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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
https://paperswithcode.com/method/faqs-help-are-copa-airlines-tickets-2 | 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/faqs-help-does-latam-allow-refunds-1 | [FAQs Help]Does LATAM allow refunds? | [FAQs Help]Does LATAM allow refunds? | Yes,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 LATAM Airlines generally allows for refunds under certain conditions, including flight cancellations,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 significant schedule changes, and within a specific timeframe after booking. Refunds are also possible for unused tickets... | {
"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-what-is-the-most-expensive | @#™{[CALL & SuPPorT]}™#@What is the most expensive day to book a flight? | @#™{[CALL & SuPPorT]}™#@What is the most expensive day to book a flight? | Generally, (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001)) weekends, particularly Saturdays, are often cited as the most expensive days to book flights. Demand is higher on weekends due to leisure travel, driving up prices. However, (((🔰+1~801~855~5905))) // ((🔰+1~804~853~9001)) flight prices can fluctuate due to va... | {
"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-to-speak-directly-at | [Experts~Dial] How to speak directly at 𝓐𝓶𝓮𝓻𝓲𝓬𝓪𝓷 Representative fast? | [Experts~Dial] How to speak directly at 𝓐𝓶𝓮𝓻𝓲𝓬𝓪𝓷 Representative fast? | 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/pregunta-en-alaska-official-como-puedo-hacer | {pregunta en Alaska Official}¿Cómo puedo hacer una pregunta en Alaska Airlines? | {pregunta en Alaska Official}¿Cómo puedo hacer una pregunta en Alaska Airlines? | ¿Cómo puedo hacer una pregunta en Alaska Airlines? Puedes hacer cualquier pregunta llamando al "+1-808-470-7107 (MX)" o +1-808-470-7107 desde México o al +1-808-470-7107 desde EE. UU. También puedes usar el chat en vivo disponible en su sitio web. | {
"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-change-my-booking-on-holland-america-1 | How do I change my booking on Holland America? (General Reservations) | How do I change my booking on Holland America? (General Reservations) | Contacting Holland America Line
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Mail: Send correspondence to Holland America Lin... | {
"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/ask-guide-agent-how-do-i-ask-a-question-at | AsK<Guide> Agent||How do i ask a Question at Expedia? | AsK<Guide> Agent||How do i ask a Question at Expedia? | "
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To talk directly on Expedia (with a live person) by official Expedia number (e.g., *1➣ 805➣3... | {
"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/faqs-how-do-i-get-a-senior-discount-on-alaska | ((FAQs$))How do I get a senior discount on Alaska Airlines? | ((FAQs$))How do I get a senior discount on Alaska Airlines? | Alaska Airlines does offer senior discounts for passengers aged 65 and older,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 but these discounts aren't always widely advertised. To find out about available senior discounts and book a flight with the discount,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 it's best to co... | {
"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-public-usa-how-do-i-ask-a-question-at | [[FAQs-Public Usa]]How do I ask a question at Expedia? | [[FAQs-Public Usa]]How do I ask a question at Expedia? | To ask a question at Expedia, use their Help Center, live +1-805-330-4056 chat, or call customer service. You can also message them +1-805-330-4056 via social media or post queries through your account support page.
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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/internvideo | InternVideo | InternVideo: General Video Foundation Models via Generative and Discriminative Learning | The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on image-level pretraining and adpation, which are limited for dynamic and complex video-level understanding tasks. To fill the gap, we presen... | null | 2,000 | null | null | null | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] |
https://paperswithcode.com/method/jetblue-flight-booking-what-is-the-cheapest | [{JetBlue flight Booking}]What is the cheapest day to book a JetBlue flight? | [{JetBlue flight Booking}]What is the cheapest day to book a JetBlue flight? | The cheapest days to fly on JetBlue are usually +1‑833‑667‑0020 (US) or +44‑(203)‑970‑0065 (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 | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/d4pg | D4PG | Distributed Distributional DDPG | **D4PG**, or **Distributed Distributional DDPG**, is a policy gradient algorithm that extends upon the [DDPG](https://paperswithcode.com/method/ddpg). The improvements include a distributional updates to the DDPG algorithm, combined with the use of multiple distributed workers all writing into the same replay table. Th... | {
"title": "Distributed Distributional Deterministic Policy Gradients",
"url": "https://paperswithcode.com/paper/distributed-distributional-deterministic"
} | 2,000 | http://arxiv.org/abs/1804.08617v1 | Distributed Distributional Deterministic Policy Gradients | null | 11 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Gradient Methods"
}
] |
https://paperswithcode.com/method/selective-kernel-convolution | Selective Kernel Convolution | Selective Kernel Convolution | A **Selective Kernel Convolution** is a [convolution](https://paperswithcode.com/method/convolution) that enables neurons to adaptively adjust their RF sizes among multiple kernels with different kernel sizes. Specifically, the SK convolution has three operators – Split, Fuse and Select. Multiple branches with differen... | {
"title": "Selective Kernel Networks",
"url": "https://paperswithcode.com/paper/selective-kernel-networks"
} | 2,000 | http://arxiv.org/abs/1903.06586v2 | Selective Kernel Networks | https://github.com/osmr/imgclsmob/blob/68335927ba27f2356093b985bada0bc3989836b1/pytorch/pytorchcv/models/sknet.py#L15 | 29 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] |
https://paperswithcode.com/method/ape-x-dpg | Ape-X DPG | Ape-X DPG | **Ape-X DPG** combines [DDPG](https://paperswithcode.com/method/ddpg) with distributed [prioritized experience replay](https://paperswithcode.com/method/prioritized-experience-replay) through the [Ape-X](https://paperswithcode.com/method/ape-x) architecture. | {
"title": "Distributed Prioritized Experience Replay",
"url": "https://paperswithcode.com/paper/distributed-prioritized-experience-replay"
} | 2,000 | http://arxiv.org/abs/1803.00933v1 | Distributed Prioritized Experience Replay | null | 1 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Gradient Methods"
}
] |
https://paperswithcode.com/method/experts-dial-how-do-i-speak-to-directly-at | [Experts~Dial] How do I speak to directly At American airlines to get in touch? | [Experts~Dial] How do I speak to directly At American airlines to get in touch? | 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/46-ways-to-use-oceania-cruises-r-usa-contact | 46 Ways to Use Oceania Cruises®️ USA Contact Numbers – Fast Support Guide | 46 Ways to Use Oceania Cruises®️ USA Contact Numbers – Fast Support Guide | Oceania Cruises Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
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When planning a dream cruise, understanding the Oceania Cruises cancellation policy is crucial, so always keep +1-855-732-4023 handy for any questions. Life is unpr... | {
"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/connect-fast-call-does-lufthansa-allow-free | [Connect~Fast call] Does Lufthansa allow free changes? | [Connect~Fast call] Does Lufthansa allow free changes? | Lufthansa's policy on free flight ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ changes depends on the fare type and when the change is requested. Generally, most fares do not allow free changes, but some do,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ particularly within a 24-hour window after booking or for certain ... | {
"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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/simclrv2 | SimCLRv2 | SimCLRv2 | **SimCLRv2** is a semi-supervised learning method for learning from few labeled examples while making best use of a large amount of unlabeled data. It is a modification of a recently proposed contrastive learning framework, [SimCLR](https://www.paperswithcode.com/method/simclr). It improves upon it in three major ways:... | {
"title": "Big Self-Supervised Models are Strong Semi-Supervised Learners",
"url": "https://paperswithcode.com/paper/big-self-supervised-models-are-strong-semi"
} | 2,000 | https://arxiv.org/abs/2006.10029v2 | Big Self-Supervised Models are Strong Semi-Supervised Learners | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Semi-Supervised Learning Methods"
}
] | |
https://paperswithcode.com/method/lmot | LMOT | LMOT: Efficient Light-Weight Detection and Tracking in Crowds | Rana Mostafa, Hoda Baraka and AbdelMoniem Bayoumi
**LMOT**, i.e., Light-weight Multi-Object Tracker, performs joint pedestrian detection and tracking. LMOT introduces a simplified DLA-34 encoder network to extract detection features for the current image that are computationally efficient. Furthermore, we generate ... | null | 2,000 | null | null | https://github.com/RanaMostafaAbdElMohsen/LMOT | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Object Tracking Models"
}
] |
https://paperswithcode.com/method/bart | BART | BART | **BART** is a [denoising autoencoder](https://paperswithcode.com/method/denoising-autoencoder) for pretraining sequence-to-sequence models. It is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text. It uses a standard [Transformer](https://papersw... | {
"title": "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension",
"url": "https://paperswithcode.com/paper/bart-denoising-sequence-to-sequence-pre"
} | 2,000 | https://arxiv.org/abs/1910.13461v1 | BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension | null | 1,642 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Sequence To Sequence Models"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] |
https://paperswithcode.com/method/step-by-step-guide-what-days-are-spirit | 【Step-by-Step Guide】What days are Spirit flights cheapest? | 【Step-by-Step Guide】What days are Spirit flights cheapest? | Spirit flights are generally ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ cheapest on Tuesdays, Wednesdays and Saturdays, with Tuesday being a particularly good day to book ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. These days are considered off-peak, meaning there's less demand for flights, which can lead to lowe... | {
"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/non-local-block | Non-Local Block | Non-Local Block | A **Non-Local Block** is an image block module used in neural networks that wraps a [non-local operation](https://paperswithcode.com/method/non-local-operation). We can define a non-local block as:
$$ \mathbb{z}\_{i} = W\_{z}\mathbb{y\_{i}} + \mathbb{x}\_{i} $$
where $y\_{i}$ is the output from the non-local oper... | {
"title": "Non-local Neural Networks",
"url": "https://paperswithcode.com/paper/non-local-neural-networks"
} | 2,000 | http://arxiv.org/abs/1711.07971v3 | Non-local Neural Networks | https://github.com/tea1528/Non-Local-NN-Pytorch/blob/986937674eb3b85d3d3fbaaa8f384c0a26624121/models/non_local.py#L6 | 168 | [
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/official-help-public-como-hablar-con-una | {Official Help Public}¿Cómo hablar con una persona de LATAM? | {Official Help Public}¿Cómo hablar con una persona de LATAM? | Para hablar con una persona de LATAM, puedes comunicarte a través de su centro de atención al cliente, ya sea por teléfono, chat en línea o redes sociales, dependiendo de tu ubicación y la naturaleza de tu consulta. Si necesitas asistencia en español, puedes contactar al número de LATAM en México +1-808-470-7107 o al n... | {
"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/47-ways-to-contact-oceania-cruise | 47 Ways to Contact Oceania Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | 47 Ways to Contact Oceania Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | Oceania Cruises Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
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When planning a dream cruise, understanding the Oceania Cruises cancellation policy is crucial, so always keep +1-855-732-4023 handy for any questions. Life is unpr... | {
"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/guide-help-como-hablar-directamente-con-un | Guide-Help--¿Cómo hablar directamente con un agente de United? | Guide-Help--¿Cómo hablar directamente con un agente de United? | Para solicitar asistencia con United Airlines, puedes contactarlos por teléfono, a través de su página web o utilizando su aplicación móvil. Para asistencia en español, puedes llamar al 1-800-UNITED-1 ((+𝟷-𝟾𝟶𝟾-𝟺𝟽𝟶-𝟽𝟷𝟶𝟽)). También puedes encontrar información y formularios para solicitar asistencia específica... | {
"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/tabbie | TABBIE | TABBIE | **TABBIE** is a pretraining objective (*corrupt cell detection*) that learns exclusively from tabular data. Unlike other approaches, TABBIE provides embeddings of all table substructures (cells, rows, and columns). TABBIE can be seen as a table embedding model trained to detect corrupted cells, inspired by the [ELECTRA... | {
"title": "TABBIE: Pretrained Representations of Tabular Data",
"url": "https://paperswithcode.com/paper/tabbie-pretrained-representations-of-tabular"
} | 2,000 | https://arxiv.org/abs/2105.02584v1 | TABBIE: Pretrained Representations of Tabular Data | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Deep Tabular Learning"
}
] | |
https://paperswithcode.com/method/tnt | TNT | Transformer in Transformer | [Transformer](https://paperswithcode.com/method/transformer) is a type of self-attention-based neural networks originally applied for NLP tasks. Recently, pure transformer-based models are proposed to solve computer vision problems. These visual transformers usually view an image as a sequence of patches while they ign... | {
"title": "Transformer in Transformer",
"url": "https://paperswithcode.com/paper/transformer-in-transformer"
} | 2,000 | https://arxiv.org/abs/2103.00112v3 | Transformer in Transformer | 12 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Ima... | |
https://paperswithcode.com/method/book-now-does-alaska-airlines-allow-you-to | {Book~NoW} Does Alaska Airlines allow you to cancel a flight? | {Book~NoW} Does Alaska Airlines allow you to cancel a flight? | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Alaska Airlines generally allows you to cancel a flight, but the specific rules and potential fees depend on your fare type and when you purchased the ticket ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. Alaska has a 24-hour cancellation policy for tickets purchased 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/twins-svt | Twins-SVT | Twins-SVT | **Twins-SVT** is a type of [vision transformer](https://paperswithcode.com/methods/category/vision-transformer) which utilizes a [spatially separable attention mechanism](https://paperswithcode.com/method/spatially-separable-self-attention) (SSAM) which is composed of two types of attention operations—(i) locally-group... | {
"title": "Twins: Revisiting the Design of Spatial Attention in Vision Transformers",
"url": "https://paperswithcode.com/paper/twins-revisiting-spatial-attention-design-in"
} | 2,000 | https://arxiv.org/abs/2104.13840v4 | Twins: Revisiting the Design of Spatial Attention in Vision Transformers | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] | |
https://paperswithcode.com/method/assistance-client-33-comment-demander-l | Assistance client (+33) - Comment demander l'assistance Royal Air Maroc ? | Assistance client (+33) - Comment demander l'assistance Royal Air Maroc ? | Pour demander l’assistance auprès de Royal Air Maroc, vous pouvez contacter leur service client 📞 (33) 15 9 00 29 47. Le moyen le plus direct est d’appeler le centre d’appel au numéro officiel de votre pays, disponible sur leur site web. Si vous avez besoin d’une assistance particulière, comme une aide pour les person... | {
"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 | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
https://paperswithcode.com/method/guia-linea-como-hablo-con-una-persona-real-en | (Guía ~ Línea)¿Cómo hablo con una persona real en Singapore Airlines? | ¿Cómo hablo con una persona real en Singapore Airlines? | Puedes encontrar los números de contacto específicos para tu región en el sitio web de Singapore Airlines o en sus recursos de ayuda +1 808 470-7107. Por ejemplo, en Estados Unidos, el número de reservas y servicios de KrisFlyer es +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/how-do-i-check-my-carnival-cruise-reservation | How do I check my Carnival cruise reservation? | How do I check my Carnival cruise reservation? | To check your Carnival cruise reservation, visit their official site and click on “Manage” at the top of the page 1-800-950-4401. Log in using your Carnival account credentials or enter your booking number at 1-800-950-4401, last name, and date of birth. You can view your cruise itinerary, payment status, cabin details... | {
"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/fcn | FCN | Fully Convolutional Network | **Fully Convolutional Networks**, or **FCNs**, are an architecture used mainly for semantic segmentation. They employ solely locally connected layers, such as [convolution](https://paperswithcode.com/method/convolution), pooling and upsampling. Avoiding the use of dense layers means less parameters (making the networks... | {
"title": "Fully Convolutional Networks for Semantic Segmentation",
"url": "https://paperswithcode.com/paper/fully-convolutional-networks-for-semantic"
} | 2,000 | http://arxiv.org/abs/1605.06211v1 | Fully Convolutional Networks for Semantic Segmentation | https://github.com/Jackey9797/FCN | 285 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
}
] |
https://paperswithcode.com/method/ddpg | DDPG | Deep Deterministic Policy Gradient | **DDPG**, or **Deep Deterministic Policy Gradient**, is an actor-critic, model-free algorithm based on the deterministic policy gradient that can operate over continuous action spaces. It combines the actor-critic approach with insights from [DQNs](https://paperswithcode.com/method/dqn): in particular, the insights tha... | {
"title": "Continuous control with deep reinforcement learning",
"url": "https://paperswithcode.com/paper/continuous-control-with-deep-reinforcement"
} | 2,000 | https://arxiv.org/abs/1509.02971v6 | Continuous control with deep reinforcement learning | null | 218 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Gradient Methods"
}
] |
https://paperswithcode.com/method/curricularface | CurricularFace | CurricularFace | **CurricularFace**, or **Adaptive Curriculum Learning**, is a method for face recognition that embeds the idea of curriculum learning into the loss function to achieve a new training scheme. This training scheme mainly addresses easy samples in the early training stage and hard ones in the later stage. Specifically, Cu... | {
"title": "CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition",
"url": "https://paperswithcode.com/paper/curricularface-adaptive-curriculum-learning"
} | 2,000 | https://arxiv.org/abs/2004.00288v1 | CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Face Recognition Models"
}
] |
https://paperswithcode.com/method/aa-step-by-step-cheapest-r-what-is-the | ((AA~Step~By~Step~Cheapest®))What is the cheapest day to book flights on American Airlines? | ((AA~Step~By~Step~Cheapest®))What is the cheapest day to book flights on American Airlines? | The cheapest day to buy American Airlines Tickets is typically on Tuesdays, Wednesdays, and Saturdays 📞+1(801) 855-5905 or +1(804) 853-9001. Tuesdays, Wednesdays, and Saturdays are the 𝚌𝚑𝚎𝚊𝚙𝚎𝚜𝚝 times to fly with American✈️. To get the best prices, call ☎️+1(801) 855-5905 or +1(804) 853-9001. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/deflation | Deflation | Deflation | **Deflation** is a video-to-image operation to transform a video network into a network that can ingest a single image. In the two types of video networks considered in the original paper, this deflation corresponds to the following operations: for [3D convolutional based networks](https://paperswithcode.com/method/3d-... | {
"title": "Self-Supervised MultiModal Versatile Networks",
"url": "https://paperswithcode.com/paper/self-supervised-multimodal-versatile-networks"
} | 2,000 | https://arxiv.org/abs/2006.16228v2 | Self-Supervised MultiModal Versatile Networks | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Miscellaneous Components"
}
] | |
https://paperswithcode.com/method/sparse-autoencoder | Sparse Autoencoder | Sparse Autoencoder | A **Sparse Autoencoder** is a type of autoencoder that employs sparsity to achieve an information bottleneck. Specifically the loss function is constructed so that activations are penalized within a layer. The sparsity constraint can be imposed with [L1 regularization](https://paperswithcode.com/method/l1-regularizatio... | null | 2,000 | null | null | 57 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] | |
https://paperswithcode.com/method/klm-telefono-24-7-hours-como-hablo-con-una | KLM teléfono || 24*7 hours||¿Cómo hablo con una persona real en KLM? | KLM teléfono || 24*7 hours||¿Cómo hablo con una persona real en KLM? | Para hablar con una persona real en KLM, evita respuestas automáticas y llama directamente. Marca +1-(808)-470-7107 desde México, +1-(808)-470-7107 desde EE. UU. o +1-(808)-470-7107 desde España. Estos teléfonos 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/refund-policy-are-royal-caribbean-trips | Refund_Policy}Are Royal Caribbean trips refundable? | Refund_Policy}Are Royal Caribbean trips refundable? | Royal Caribbean cruise fares are refundable only if you book a refundable fare 1-800-950-4401(US)/ +44 (20) 39003980 UK. If you choose a non-refundable deposit fare, cancellation will result in a fee or loss of deposit. For refundable fares 1-800-950-4401(US)/ +44 (20) 39003980 UK, you can cancel up to 75 days before 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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/49-ways-to-contact-silversea-cruise | 49 Ways to Contact Silversea Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | 49 Ways to Contact Silversea Cruise cancellation by Phone, Live chat and Email Detailed: A Step by Step Guide | Silversea 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/help-desk-does-alaska-airlines-give-seniors-a | [@@Help~Desk@@] Does Alaska Airlines give seniors a discount? | [@@Help~Desk@@] Does Alaska Airlines give seniors a discount? | Alaska Airlines offers a senior Discount for passengers aged 65 and older☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ (US). To avail of this Discount, seniors can call Alaska Airlines customer service at☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ (US) for booking assistance.
Yes, Alaska Airlines may offer senior ... | {
"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/how-do-i-contact-hulu-customer-service-via | How do I contact Hulu customer service? Via Chat, Phone And More! | How do I contact Hulu customer service? Via Chat, Phone And More! | To contact Hulu customer service, visit help.hulu.com and use the 24/7 live chat option for quick assistance. You can also call them at +1(844) 569-1910 for support. For general questions or updates, reach out via Twitter @hulu_support or Facebook. Always have your account details +1(844) 569-1910 ready for faster help... | {
"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/neural-architecture-search | Neural Architecture Search | Neural Architecture Search | **Neural Architecture Search (NAS)** learns a modular architecture which can be transferred from a small dataset to a large dataset. The method does this by reducing the problem of learning best convolutional architectures to the problem of learning a small convolutional cell. The cell can then be stacked in series to ... | {
"title": "Learning Transferable Architectures for Scalable Image Recognition",
"url": "https://paperswithcode.com/paper/learning-transferable-architectures-for"
} | 2,000 | http://arxiv.org/abs/1707.07012v4 | Learning Transferable Architectures for Scalable Image Recognition | null | 23 | [
{
"area": "General",
"area_id": "general",
"collection": "Neural Architecture Search"
}
] |
https://paperswithcode.com/method/factorized-random-synthesized-attention | Factorized Random Synthesized Attention | Factorized Random Synthesized Attention | **Factorized Random Synthesized Attention**, introduced with the [Synthesizer](https://paperswithcode.com/method/synthesizer) architecture, is similar to [factorized dense synthesized attention](https://paperswithcode.com/method/factorized-dense-synthesized-attention) but for random synthesizers. Letting $R$ being a ra... | {
"title": "Synthesizer: Rethinking Self-Attention in Transformer Models",
"url": "https://paperswithcode.com/paper/synthesizer-rethinking-self-attention-in"
} | 2,000 | https://arxiv.org/abs/2005.00743v3 | Synthesizer: Rethinking Self-Attention in Transformer Models | null | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Synthesized Attention Mechanisms"
},
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] |
https://paperswithcode.com/method/groie | GRoIE | Generic RoI Extractor | **GroIE** is an RoI extractor which intends to overcome the limitation of existing extractors which select only one (the best) layer from the [FPN](https://paperswithcode.com/method/fpn). The intuition is that all the layers of FPN retain useful
information. Therefore, the proposed layer introduces non-local building ... | {
"title": "A novel Region of Interest Extraction Layer for Instance Segmentation",
"url": "https://paperswithcode.com/paper/a-novel-region-of-interest-extraction-layer"
} | 2,000 | https://arxiv.org/abs/2004.13665v2 | A novel Region of Interest Extraction Layer for Instance Segmentation | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "RoI Feature Extractors"
}
] | |
https://paperswithcode.com/method/accumulating-eligibility-trace | Accumulating Eligibility Trace | Accumulating Eligibility Trace | An **Accumulating Eligibility Trace** is a type of [eligibility trace](https://paperswithcode.com/method/eligibility-trace) where the trace increments in an accumulative way. For the memory vector $\textbf{e}\_{t} \in \mathbb{R}^{b} \geq \textbf{0}$:
$$\mathbf{e\_{0}} = \textbf{0}$$
$$\textbf{e}\_{t} = \nabla{\ha... | null | 2,000 | null | null | null | 15 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Eligibility Traces"
}
] |
https://paperswithcode.com/method/48-ways-to-use-silversea-cruises-r-usa | 48 Ways to Use Silversea Cruises®️ USA Contact Numbers – Fast Support Guide | 48 Ways to Use Silversea Cruises®️ USA Contact Numbers – Fast Support Guide | Silversea Cruises Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
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When planning a dream cruise, understanding the Silversea Cruises cancellation policy is crucial, so always keep +1-855-732-4023 handy for any questions. Life i... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/oficina-como-pedir-asistencia-en-united | Oficina~¿Cómo pedir asistencia en United? | Oficina~¿Cómo pedir asistencia en United? | Llama al número de atención al cliente de United Airlines. Para México, puedes usar el +𝟷-𝟾𝟶𝟾-𝟺𝟽𝟶-𝟽𝟷𝟶𝟽 (MX) o +𝟷-𝟾𝟶𝟾-𝟺𝟽𝟶-𝟽𝟷𝟶𝟽, según información de United Airlines. Para hablar con un agente en español, puedes marcar 0 al escuchar el menú, según información 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"
}
] |
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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/detail-como-evitar-pagar-por-asientos-en | detail~¿Cómo evitar pagar por asientos en United? | detail~¿Cómo evitar pagar por asientos en United? | Para hablar directamente con un agente de United Airlines, puedes llamar al número de atención al cliente de United. Si estás en Estados Unidos, marca 1-800-UNITED-1 (+1-808-470-7107). Si te encuentras en México, puedes llamar al +1-808-470-7107. También puedes encontrar números de contacto específicos para asistencia ... | {
"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-can-you-get-your-money-back-from | [Experts~Dial] Can you get your money back from Priceline? | [Experts~Dial] Can you get your money back from Priceline? | Yes, Priceline does offer refunds in specific cases call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅ to learn if you qualify. Not all bookings are refundable, so the team at ☎️+1-801-(855)-(5905)or +1-804-853-9001✅ will explain what's possible for your situation.
Yes, Priceline does offer refunds in specific cases 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/oficial-alaska-telefono-como-puedo-hablar-con | {Oficial Alaska Telefóno}¿Cómo puedo hablar con alguien de Alaska Airlines? | {Oficial Alaska Telefóno}¿Cómo puedo hablar con alguien de Alaska Airlines? | Para hablar con alguien en Alaska Airlines, puedes llamar al +1-808-470-7107 (MX) o al +1-808-470-7107 (EE.UU) o al +1-808-470-7107 (ES)o +1-808-470-7107 ] (CL) si estás en México o al +1-808-470-7107 si te encuentras en Estados Unidos. Para hablar con una persona viva en Alaska , puedes llamar a su servicio al cliente... | {
"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/multiple-random-window-discriminator | Multiple Random Window Discriminator | Multiple Random Window Discriminator | **Multiple Random Window Discriminator** is a discriminator used for the [GAN-TTS](https://paperswithcode.com/method/gan-tts) text-to-speech architecture. These discriminators operate on randomly sub-sampled fragments of the real or generated samples. The ensemble allows for the evaluation of audio in different complem... | {
"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 | https://github.com/yanggeng1995/GAN-TTS/blob/75d70dec97ba11dbe5ee3e2e9ebfbdd10bd52389/models/discriminator.py#L5 | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Discriminators"
}
] |
https://paperswithcode.com/method/como-hablar-directamente-en-latam-airlines | ¿Cómo hablar directamente en Latam Airlines? | ¿Cómo hablar directamente en Latam Airlines? | Para hablar directamente con LATAM Airlines en Latinoamérica, puedes contactarlos a través de sus números de atención al cliente o utilizar su asistente virtual +1 808 470-7107. Para México, puedes llamar al +1 808 470-7107 o al +1 808 470-7107, según LATAM Airlines. También puedes acceder a su asistente virtual o enco... | {
"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/what-number-is-1-800-275-2273-call-apple-help | What number is 1 800 275 2273? Call Apple Help | What number is 1 800 275 2273? Call Apple Help | You can buy online or call 1-800-MY-APPLE (1-855-771-1484 or 1 800 275 2273). You can get information about an order you placed on the Apple Online Store through the Order Status page. The phone number +1-855-771-1484 or 1 800 275 2273 (also known as 1-800-APL-CARE) is the official Apple Support number in the United St... | {
"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 Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/21-msc-cruise-r-usa-contact-numbers-verified | 21 MSC Cruise®️ USA Contact Numbers: Verified Support Numbers 2025 | 21 MSC Cruise®️ USA Contact Numbers: Verified Support Numbers 2025 | MSC Cruise Cancellation Policy: Best Guide to Cancel & Get Refund – Call +1-855-732-4023 Now
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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/softmax | Softmax | Softmax | The **Softmax** output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$ and a weighting vector $w$ we have:
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{
"area": "General",
"area_id": "general",
"collection": "Output Functions"
}
] |
https://paperswithcode.com/method/faqs-penalty-how-much-is-the-penalty-fee-in | {[FAQs~penalty]}How much is the penalty fee in Copa Airlines? | {[FAQs~penalty]}How much is the penalty fee in Copa Airlines? | Copa Airlines charges penalty fees for various actions like ticket changes,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 cancellations, and incorrect procedures, with amounts varying based on the specific situation. For example,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 incorrect inventory reactivation carries a $... | {
"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/expedia-file-how-do-i-file-a-complaint-with | [Expedia-File]How do I file a complaint with Expedia? | [Expedia-File]How do I file a complaint with Expedia? | To file a complaint with Expedia, call their Customer Care number +1-805-330-4056 or +1-805-330-4056.You can also contact them via chat support or send an email. For serious issues, consider reaching out on social media or filing a dispute with your bank if refunds are denied +1-805-330-4056 or +1-805-330-4056+1-805-33... | {
"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"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"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/scnet | SCNet | SCNet | **Sample Consistency Network (SCNet)** is a method for instance segmentation which ensures the IoU distribution of the samples at training time are as close to that at inference time. To this end, only the outputs of the last box stage are used for mask predictions at both training and inference. The Figure shows the I... | {
"title": "SCNet: Training Inference Sample Consistency for Instance Segmentation",
"url": "https://paperswithcode.com/paper/scnet-training-inference-sample-consistency"
} | 2,000 | https://arxiv.org/abs/2012.10150v1 | SCNet: Training Inference Sample Consistency for Instance Segmentation | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Instance Segmentation Models"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/booking-service-how-can-i-communicate-with | [Booking~Service] How can I communicate with Alaska? | [Booking~Service] How can I communicate with Alaska? | To contact Alaska Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, you can call their customer service hotline, use their live chat feature on the website or app, or reach out on social media ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. For urgent issues or complex queries, calling is usually the most direct m... | {
"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/speak-opa-r-como-hablo-con-una-persona-viva | [speak~ℂOPA®]¿Cómo hablo con una persona viva en Copa Airlines? | [speak~ℂOPA®]¿Cómo hablo con una persona viva en Copa Airlines? | Para hablar con una persona viva en Copa Airlines, puedes llamar a su servicio de atención al cliente. En México, puedes marcar el +𝟙-𝟠𝟘𝟠-𝟜𝟟𝟘-𝟟𝟙𝟘𝟟 o +𝟙-𝟠𝟘𝟠-𝟜𝟟𝟘-𝟟𝟙𝟘𝟟. También puedes contactarlos a través de su sitio web, redes sociales, o en persona en sus oficinas de atención al cliente en el aero... | {
"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/linea-de-ayuda-como-hablo-con-una-persona-en | [[línea de ayuda]]¿Cómo hablo con una persona en vivo en United? | [[línea de ayuda]]¿Cómo hablo con una persona en vivo en United? | Para hablar con una persona en vivo en United Airlines, puedes llamar al número de atención al cliente de United y presionar la opción para hablar con un agente. En Estados Unidos y Canadá, el número es el 1-800-UNITED-1 (+𝟷-𝟾𝟶𝟾-𝟺𝟽𝟶-𝟽𝟷𝟶𝟽). Si estás en México, puedes llamar al +𝟷-𝟾𝟶𝟾-𝟺𝟽𝟶-𝟽𝟷𝟶𝟽.
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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/23-viking-cruise-r-usa-contact-numbers | 23 Viking Cruise®️ USA Contact Numbers: Verified Support Numbers 2025 | 23 Viking Cruise®️ USA Contact Numbers: Verified Support Numbers 2025 | Viking Cruise Cancellation Policy: Best Guide to Cancel & Get Refund – Call +1-855-732-4023 Now
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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"
}
] |
https://paperswithcode.com/method/experts-guide-how-do-i-call-american-airlines | [Experts~Guide] How do I call American Airlines customer service? | [Experts~Guide] How do I call American Airlines customer service? | To contact American Airlines in Spanish, call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅ (Mexico) and select the option for support in Spanish. This service is available 24 hours a day, every day. | {
"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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