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
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{
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
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{
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"title": "A Practical Chinese Dependency Parser Based on A Large-scale Dataset",
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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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"area": "General",
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{
"area": "General",
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"title": "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models",
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{
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"area": "Computer Vision",
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{
"area": "General",
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"title": "GANDALF: Gated Adaptive Network for Deep Automated Learning of Features",
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{
"area": "Computer Vision",
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}
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{
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}
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"area": "General",
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}
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{
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}
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{
"area": "General",
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"area": "Computer Vision",
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"area": "General",
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{
"area": "General",
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{
"area": "General",
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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{
"area": "Computer Vision",
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}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"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 | 1 | [
{
"area": "General",
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}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
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https://paperswithcode.com/method/diffaugment | DiffAugment | DiffAugment | **Differentiable Augmentation (DiffAugment)** is a set of differentiable image transformations used to augment data during [GAN](https://paperswithcode.com/method/gan) training. The transformations are applied to the real and generated images. It enables the gradients to be propagated through the augmentation back to t... | {
"title": "Differentiable Augmentation for Data-Efficient GAN Training",
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} | 2,000 | https://arxiv.org/abs/2006.10738v4 | Differentiable Augmentation for Data-Efficient GAN Training | https://github.com/mit-han-lab/data-efficient-gans/blob/ed7e725ae83c7bb4d2b0eace558ba1609d098e66/DiffAugment_pytorch.py#L9 | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Adversarial Image Data Augmentation"
},
{
"area": "General",
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"collection": "Adversarial Training"
}
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{
"area": "General",
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}
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https://paperswithcode.com/method/ca | Class Attention | Class Attention | A **Class Attention** layer, or **CA Layer**, is an [attention mechanism](https://paperswithcode.com/methods/category/attention-mechanisms-1) for [vision transformers](https://paperswithcode.com/methods/category/vision-transformer) used in [CaiT](https://paperswithcode.com/method/cait) that aims to extract information ... | {
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{
"area": "General",
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"collection": "Attention Mechanisms"
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{
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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{
"area": "General",
"area_id": "general",
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}
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{
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}
] |
https://paperswithcode.com/method/encattagg | EncAttAgg | Encoder-Attender-Aggregator | EncAttAgg introduced two attenders to tackle two problems: 1) We introduce a mutual attender layer to efficiently obtain the entity-pair-specific mention representations. 2) We introduce an integration attender to weight mention pairs of a target entity pair. | null | 2,000 | null | null | https://github.com/nefujiangping/EncAttAgg | 0 | [] |
https://paperswithcode.com/method/22-ways-to-reach-how-do-i-contact-msc-cruise | {22} Ways To Reach : How do I contact MSC Cruise Customer Service? via phone-chat-mail | {22} Ways To Reach : How do I contact MSC Cruise Customer Service? via phone-chat-mail | To reach a live person at MSC™ Cruise customer service for support, you can call their 24/7 MSC™ Cruise Phone number hotline at (+1★855★785\~0041). OTA (Live Person) or 1-800-MSC™ Cruise (+1★855★785\~0041). You can also use the live chat feature on their website or reach out to them via email. Speaking with a live repr... | {
"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/how-can-i-get-in-touch-with-american-airlines-1 | How Can I Get in Touch with American Airlines Fast? LIVE Support Guide | How Can I Get in Touch with American Airlines Fast? LIVE Support Guide | "If you're looking to get in touch with American Airlines fast, ☎️+1-801-(855)-(5905)or +1-804-853-9001✅ there are
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repre... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-coinspot-customer-service-1 | How do I contact CoinSpot customer service – Speak with support. | How do I contact CoinSpot customer service – Speak with support. | Contacting CoinSpot [+61-3-5929-4808] customer service is a straightforward process designed to ensure that users can receive assistance with any inquiries or issues they may encounter. [+61-3-5929-4808] The primary method of reaching customer support is by phone. [+61-3-5929-4808] You can call CoinSpot [+61-3-592... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
https://paperswithcode.com/method/hard-swish | Hard Swish | Hard Swish | **Hard Swish** is a type of activation function based on [Swish](https://paperswithcode.com/method/swish), but replaces the computationally expensive sigmoid with a piecewise linear analogue:
$$\text{h-swish}\left(x\right) = x\frac{\text{ReLU6}\left(x+3\right)}{6} $$ | {
"title": "Searching for MobileNetV3",
"url": "https://paperswithcode.com/paper/searching-for-mobilenetv3"
} | 2,000 | https://arxiv.org/abs/1905.02244v5 | Searching for MobileNetV3 | https://github.com/pytorch/pytorch/blob/96aaa311c0251d24decb9dc5da4957b7c590af6f/torch/nn/modules/activation.py#L391 | 90 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/carnival-cruisestm-main-customer-service | Carnival Cruises™ main customer service number: [[carnival cruise refund Policy]] | Carnival Cruises™ main customer service number: [[carnival cruise refund Policy]] | The main customer service number for Carnival Cruise Line, which can be used for questions about refunds, is +1-855-732-4023.
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/how-do-i-complete-coinspot-verification-1 | How do I complete CoinSpot verification – Complete setup now. | How do I complete CoinSpot verification – Complete setup now. | Completing the verification process on CoinSpot [+61-3-5929-4808] is an essential step for users who want to access the full range of features and services offered by the platform. [+61-3-5929-4808] To begin the verification process, log into your CoinSpot [+61-3-5929-4808] account using your credentials. [+61-3-5... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/connect-fast-call-what-is-the-cheapest-day-to | [Connect~Fast call]What is the cheapest day to fly on Copa Airlines? | [Connect~Fast call]What is the cheapest day to fly on Copa Airlines? | When it ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ comes to finding the cheapest day to fly on Copa Airlines, Tuesdays, Wednesdays, and Saturdays are generally ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ considered the most affordable options. | {
"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/asynchronous-interaction-aggregation | Asynchronous Interaction Aggregation | Asynchronous Interaction Aggregation | **Asynchronous Interaction Aggregation**, or **AIA**, is a network that leverages different interactions to boost action detection. There are two key designs in it: one is the Interaction Aggregation structure (IA) adopting a uniform paradigm to model and integrate multiple types of interaction; the other is the Asynch... | {
"title": "Asynchronous Interaction Aggregation for Action Detection",
"url": "https://paperswithcode.com/paper/asynchronous-interaction-aggregation-for"
} | 2,000 | https://arxiv.org/abs/2004.07485v1 | Asynchronous Interaction Aggregation for Action Detection | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Action Recognition Models"
}
] |
https://paperswithcode.com/method/quick-guide-how-to-speak-directly-at-american | [Quick~Guide] How to speak directly at American? | [Quick~Guide] How to speak directly at American? | To speak directly with a live representative at American Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can call their customer service hotline at and follow the automated prompts. You can also utilize the live chat ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ feature on their official website or app for i... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-service-how-do-i-change-my-booking-on | 【FAQs!!~Cancellation】Does Expedia actually give refunds? | 【FAQs!!~Cancellation】Does Expedia actually give refunds? | Yes, Expedia has a 24-hour cancellation policy allowing a full refund if you cancel within 24 hours of booking. For assistance or to process a cancellation, contact customer care at +1-805-330-4056or ++1-805-330-4056. Can I get a refund on Expedia? Yes, Expedia has a 24-hour refund policy. Absolutely, Expedia provides ... | {
"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/delight-block | DeLighT Block | DeLighT Block | A **DeLighT Block** is a block used in the [DeLighT](https://paperswithcode.com/method/delight) [transformer](https://paperswithcode.com/method/transformer) architecture. It uses a [DExTra](https://paperswithcode.com/method/dextra) transformation to reduce the dimensionality of the vectors entered into the attention la... | {
"title": "DeLighT: Deep and Light-weight Transformer",
"url": "https://paperswithcode.com/paper/delight-very-deep-and-light-weight"
} | 2,000 | https://arxiv.org/abs/2008.00623v2 | DeLighT: Deep and Light-weight Transformer | https://github.com/sacmehta/delight/blob/1197d8ffbcff5c3bfc3b6a040a2ae8af811278c4/fairseq/modules/delight_transformer_layer.py#L19 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-viking-customer-service-get | How do I contact Viking customer service? @GET NOW | How do I contact Viking customer service? @GET NOW | For Further Assistance. If you have any questions or need further information please contact Reservations at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK) or email customerrelations@vikingcruises.com, Monday – Friday, 6:00 AM – 6:00 PM; Saturday and Sunday, 7:30 AM – 4:00 PM, PT.
The phone number for Viking travel ... | {
"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/quick-help-how-to-file-a-claim-with-american | Quick Help How to file a claim with American Airlines? | Quick Help How to file a claim with American Airlines? | To file a claim with American Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you'll generally need to identify the type of claim (e.g., baggage, refund, customer service issue) and then follow the appropriate procedure for that claim type ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. For baggage issues, you ca... | {
"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/touch-with-live-person-how-can-i-communicate | Touch with Live Person"How can I communicate with Expedia? | Touch with Live Person"How can I communicate with Expedia? | To communicate with Alaska Airlines, you can call their main customer service number at +1-805-(330)-(4056)or +1-888-(829)-(0881). You can also utilize their live chat feature on their website or app, or reach out through social media (Twitter or Facebook). For more detailed or non-urgent issues +1-805-(330)-(4056)or +... | {
"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/colorization-transformer | Colorization Transformer | Colorization Transformer | **Colorization Transformer** is a probabilistic [colorization](https://paperswithcode.com/method/colorization) model composed only of [axial self-attention blocks](https://paperswithcode.com/method/axial). The main advantages of these blocks are the ability to capture a global receptive field with only two layers and $... | {
"title": "Colorization Transformer",
"url": "https://paperswithcode.com/paper/colorization-transformer-1"
} | 2,000 | https://arxiv.org/abs/2102.04432v2 | Colorization Transformer | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Colorization Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] | |
https://paperswithcode.com/method/how-do-i-connect-to-robinhood | How do I Connect to Robinhood? | How do I Connect to Robinhood? | In today’s fast-paced financial +1-844-610-2676 world, nothing beats talking to a real human when your investments +1-844-610-2676 are on the line. So yes—you can absolutely talk to people at Robinhood, and if you're unsure how to start, just dial +1-844-610-2676. Whether you’re stuck on a withdrawal, having trouble lo... | {
"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/kraken-24-7-customer-support-talk-to-a-real | Kraken 24/7 Customer Support – Talk to a Real Person Anytime | Kraken 24/7 Customer Support – Talk to a Real Person Anytime | If you're facing issues with your Kraken account, immediate support is just a call away. Kraken offers 24/7 phone support through its toll-free number +1-855-574-4697. By calling this number, you can speak directly with a live representative to resolve problems related to account access, wallet errors, transaction fail... | {
"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"
}
] |
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