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/mff | MFF | Multimodal Fuzzy Fusion Framework | BCI MI signal Classification Framework using Fuzzy integrals.
Paper: Ko, L. W., Lu, Y. C., Bustince, H., Chang, Y. C., Chang, Y., Ferandez, J., ... & Lin, C. T. (2019). Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface. IEEE Computational Intelligence Magazine, 14(1), 96-106. | {
"title": "Choquet integral in decision analysis - lessons from the axiomatization",
"url": "https://paperswithcode.com/paper/choquet-integral-in-decision-analysis-lessons"
} | 2,000 | http://arxiv.org/abs/1611.09926v1 | Choquet integral in decision analysis - lessons from the axiomatization | https://github.com/Fuminides/athena | 15 | [
{
"area": "General",
"area_id": "general",
"collection": "Non-Parametric Classification"
}
] |
https://paperswithcode.com/method/can-you-get-your-deposit-back-on-a-celebrity-1 | Can you get your deposit back on a celebrity cruise?[[FAQs~ReFuND]] | Can you get your deposit back on a celebrity cruise?[[FAQs~ReFuND]] | Days Prior to Cruise Departure and cancellation Charges 1-855-732-4023 USA or +44-289-708-0062: 151 or more days: deposit is refundable except in the case of non- refundable deposit promotions and airfares 1-855-732-4023 USA or +44-289-708-0062. 150-71 days: loss of deposit. 70-46 days: 25% of fare*
To cancel a crui... | {
"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/what-is-the-24-hour-rule-for-lufthansa | (𝒰𝒮𝒜)What is the 24-hour rule for Lufthansa? | (𝒰𝒮𝒜)What is the 24-hour rule for Lufthansa? | Lufthansa's <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>> 24-hour rule allows passengers to cancel or make changes to their booking without penalty, provided the booking <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>> was made at least seven days before the flight's departure and within 24 hours of purchase, according ... | {
"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/complain-issue-what-is-the-best-way-to | [[complain-ISsuE]] What is the best way to complain to Expedia? | [[complain-ISsuE]] What is the best way to complain to Expedia? | [[complain-ISsuE]] What is the best way to complain to Expedia?
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certain conditions and may incur fees. Expedia's policy on name changes is primarily governed
by the specific airline's rules and regulations. Minor corrections... | {
"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-support-what-is-the-number-for-carnival | [FAQs-SUpport]What is the number for Carnival refund? | [FAQs-SUpport]What is the number for Carnival refund? | To cancel a Carnival cruise, you can call their customer service number at 1-855-732-4023 or 1-808-900-8011.
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The customer service number for Carnival Cruise L... | {
"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/contrastive-learning | Contrastive Learning | null | null | 2,000 | null | null | null | 5,057 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Representation Learning"
}
] | |
https://paperswithcode.com/method/gee | GEE | Generative Emotion Estimator | {
"title": "Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes",
"url": "https://paperswithcode.com/paper/perspective-taking-and-pragmatics-for"
} | 2,000 | https://arxiv.org/abs/2109.08828v2 | Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes | 12 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] | ||
https://paperswithcode.com/method/how-do-i-speak-to-someone-at-latam-all-their | How do I speak to someone at LATAM?@all their customer service number: +1-801-(855)-(5905) | How do I speak to someone at LATAM?@all their customer service number: +1-801-(855)-(5905) | To speak with a live agent at LATAM Airlines, you can call their customer service number: +1-801-(855)-(5905)or +1-804-853-9001. You can also reach them through their website, mobile app, or by using their virtual assistant at the same customer service numbers | {
"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/dapo | DAPO | Dialogue-Adaptive Pre-training Objective | **Dialogue-Adaptive Pre-training Objective (DAPO)** is a pre-training objective for dialogue adaptation, which is designed to measure qualities of dialogues from multiple important aspects, like Readability, Consistency and Fluency which have already been focused on by general LM pre-training objectives, and those also... | {
"title": "Dialogue-adaptive Language Model Pre-training From Quality Estimation",
"url": "https://paperswithcode.com/paper/task-specific-objectives-of-pre-trained"
} | 2,000 | https://arxiv.org/abs/2009.04984v2 | Dialogue-adaptive Language Model Pre-training From Quality Estimation | null | 11 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Dialog Adaptation"
}
] |
https://paperswithcode.com/method/complain-escalate-r-how-do-i-escalate-a | [[Complain-Escalate ®]] How do I escalate a complaint with Expedia? | [[Complain-Escalate ®]] How do I escalate a complaint with Expedia? | [[Complain-Escalate ®]] How do I escalate
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Yes, Expedia generally allows name changes on tickets+1||888||829||0881, but it's subject to
certain conditions and may incur fees. Expedia's policy on name changes is primarily governed
by the specific airline's rules and regulations. Minor correc... | {
"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-make-a-complaint-to-celebrity | How do I make a complaint to celebrity cruises? | How do I make a complaint to celebrity cruises? | To contact Celebrity Cruises by phone in the USA, you can call 1-855-CELEBRITY (1-855-732-4023 USA or +44-289-708-0062 UK), according to Celebrity Cruises.
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For Captain's Club assistan... | {
"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-usa-1-855-732-4023-what-is-the-phone | [[Call-USA_1-855-732-4023]] What is the phone number for Royal Caribbean group reservations? | [[Call-USA_1-855-732-4023]] What is the phone number for Royal Caribbean group reservations? | The phone number for Royal Caribbean group reservations (for sailing with 8 or more staterooms) is +1-855-732-4023 USA or +44-289-708-0062 UK.
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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/32-ways-to-call-how-can-i-speak-to-someone-at-2 | 32 Ways to Call How can i speak to someone at Royal Caribbean Cruises: A Step by Step Guide | 32 Ways to Call How can i speak to someone at Royal Caribbean Cruises: A Step by Step Guide | Royal Caribbean Cruises Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
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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/faqs-seabourntm-how-do-i-cancel-my-seabourn | [FaQs~Seabourn™]How do I cancel my Seabourn cruise? | [FaQs~Seabourn™]How do I cancel my Seabourn cruise? | [[Understanding--Cancellation]] How do I cancel my Seabourn cruise?
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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 Object Detection Models"
}
] |
https://paperswithcode.com/method/33-ways-to-speak-royal-caribbean-cruise | 33 Ways to Speak Royal Caribbean cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 33 Ways to Speak Royal Caribbean cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | Royal Caribbean Cruises Cancellation: The 2025 Ultimate Guide – Call +1-855-732-4023 for Support
Introduction to Royal Caribbean Cruises Cancellation (+1-855-732-4023)
When planning a dream cruise, understanding the Royal Caribbean Cruises cancellation policy is crucial, so always keep +1-855-732-4023 handy for any q... | {
"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/r-fcn | R-FCN | Region-based Fully Convolutional Network | **Region-based Fully Convolutional Networks**, or **R-FCNs**, are a type of region-based object detector. In contrast to previous region-based object detectors such as Fast/[Faster R-CNN](https://paperswithcode.com/method/faster-r-cnn) that apply a costly per-region subnetwork hundreds of times, R-FCN is fully convolut... | {
"title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks",
"url": "https://paperswithcode.com/paper/r-fcn-object-detection-via-region-based-fully"
} | 2,000 | http://arxiv.org/abs/1605.06409v2 | R-FCN: Object Detection via Region-based Fully Convolutional Networks | https://github.com/facebookresearch/Detectron/blob/8170b25b425967f8f1c7d715bea3c5b8d9536cd8/detectron/modeling/rfcn_heads.py | 32 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/faqs-help-linetm-how-do-i-complain-to | [Faqs~HeLp`Line™] How do i complain to seabourn ? | [Faqs~HeLp`Line™] How do i complain to seabourn ? | To file a complaint with Seabourn, you can contact their guest relations department via email, phone,+1-855-(732)-4023. or mail. You can also submit a complaint through their website or social media.+44-289-708-0062 (UK). Provide detailed information about the issue, including dates, times, and names of involved perso... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/contact-usa-what-is-the-phone-number-for-6 | [[Contact--USA]] What is the phone number for Viking Cruises? | [[Contact--USA]] What is the phone number for Viking Cruises? | Main Customer Service: You can call the main customer service line at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). Another option is to contact Viking's corporate office at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK) and ask to be connected to the Human Resources department.
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/12-ways-to-speak-how-can-i-speak-to-someone | 12 Ways to Speak How Can I Speak to Someone at Disney Cruise Line .live | 12 Ways to Speak How Can I Speak to Someone at Disney Cruise Line .live | To reach a Disney Cruise Line representative quickly, the fastest method is typically via Live Chat on the Disney Cruise Line website.+1-(855)-732-4023 Alternatively, calling early in the morning (e.g., between 7:00 AM and 9:00 AM EST) can minimize wait times. Detailed Steps:
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/call-now-how-to-speak-directly-at-american | {{CALL--NOW>}}How to speak directly at American Airlines immediately? | {{CALL--NOW>}}How to speak directly at American Airlines immediately? | To speak directly with an American Airlines representative quickly,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 the most direct method is to call their customer service hotline and navigate the automated system to reach a live agent. You can also try their live chat feature on their website or 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/triazol | [𝟤𝟦 𝐡𝐨𝐮𝐫𝐬 𝐨𝐟 𝐛𝐨𝐨𝐤𝐢𝐧𝐠]What is the non-refundable policy on Expedia? | [𝟤𝟦 𝐡𝐨𝐮𝐫𝐬 𝐨𝐟 𝐛𝐨𝐨𝐤𝐢𝐧𝐠]What is the non-refundable policy on Expedia? | Non-refundable tickets can be changed or canceled without a fee, but you will receive travel credit. Expedia also offers a general 24-hour refund policy, 1-888-829-0881 meaning you can cancel most bookings within 24 hours and receive a full refund, 1-888-829-0881 as long as your travel date is at least a week away. | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
https://paperswithcode.com/method/how-do-i-contact-princess-cruise-customer | How do I contact Princess cruise customer service? Travel Que | How do I contact Princess cruise customer service? Travel Que | To contact Princess Cruises by phone in the USA, you can use the following numbers:
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/faq-support-r-how-do-i-connect-with-someone-2 | ((FAQ-suPPort®)) How do I connect with someone on Hawaiian Airlines? | ((FAQ-suPPort®)) How do I connect with someone on Hawaiian Airlines? | To connect with someone at Hawaiian Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can call their customer service hotline at , or use their live chat feature on their website. You can also find support through their mobile app or by sending an email ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. For genera... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 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/34-ways-to-contact-royal-caribbean-cruise | 34 Ways to Contact Royal Caribbean cruise Customer Service by Phone, Live chat and Email Detailed: Fast Support Guide | 34 Ways to Contact Royal Caribbean cruise Customer Service by Phone, Live chat and Email Detailed: Fast Support Guide | Royal Caribbean 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-help-linetm-what-is-the-number-for-msc | [Faqs~HeLp`Line™] What is the number for MSC cruise refund? | [Faqs~HeLp`Line™] What is the number for MSC cruise refund? | The MSC Cruises main customer service number is (+𝟭 (𝟴𝟱𝟱)--732-4023. For refund-related inquiries, it's best to contact them directly at this number, or through their live chat or email support, to speak with a representative. (+𝟭 (𝟴𝟱𝟱)--732-4023 They can address specific questions about your booking and potent... | {
"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 Representations"
}
] |
https://paperswithcode.com/method/classsr | ClassSR | ClassSR | **ClassSR** is a framework to accelerate super-resolution (SR) networks on large images (2K-8K). ClassSR combines classification and SR in a unified framework. In particular, it first uses a Class-Module to classify the sub-images into different classes according to restoration difficulties, then applies an SR-Module t... | {
"title": "ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic",
"url": "https://paperswithcode.com/paper/classsr-a-general-framework-to-accelerate"
} | 2,000 | https://arxiv.org/abs/2103.04039v1 | ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Super-Resolution Models"
}
] |
https://paperswithcode.com/method/faqs-support-can-i-change-the-name-of-a | {FaQs~SuPporT}Can I change the name of a passenger on a Carnival cruise? | {FaQs~SuPporT}Can I change the name of a passenger on a Carnival cruise? | Yes, you can change the name of a passenger on a Carnival cruise 1-855-732-4023, but restrictions and fees apply. Name changes are allowed for minor corrections (e.g., spelling) at no charge 1-855-732-4023. However, a full name change or transferring the booking to another person may incur a fee and must be approved 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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/refundable-options-how-do-i-avoid-expedia | [Refundable~Options]How do I avoid Expedia cancellation fees?&live-Help | [Refundable~Options]How do I avoid Expedia cancellation fees?&live-Help | ☎️+1(805) 330-4056 — Avoiding cancellation fees on Expedia requires a combination of good timing, careful selection, and understanding booking policies. ☎️+1(805) 330-4056 — The first rule of thumb is to choose refundable options whenever possible during the booking process. ☎️+1(805) 330-4056 — Expedia clearly labels ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/tinaface | TinaFace | TinaFace | **TinaFace** is a type of face detection method that is based on generic object detection. It consists of (a) Feature Extractor: [ResNet](https://paperswithcode.com/method/resnet)-50 and 6 level [Feature Pyramid Network](https://www.paperswithcode.com/method/fpn) to extract the multi-scale features of input image; (b) ... | {
"title": "TinaFace: Strong but Simple Baseline for Face Detection",
"url": "https://paperswithcode.com/paper/tinaface-strong-but-simple-baseline-for-face"
} | 2,000 | https://arxiv.org/abs/2011.13183v3 | TinaFace: Strong but Simple Baseline for Face Detection | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Face Detection Models"
}
] |
https://paperswithcode.com/method/customer-services-como-hablo-con-una-persona-1 | ((!!*Customer~Services*!!))¿Cómo hablo con una persona real en Ethiopian Airlines? | ¿Cómo hablo con una persona real en Ethiopian Airlines? | Para hablar con una persona real en Ethiopian Airlines, puedes llamar a su número de atención al cliente o contactar a través de sus redes sociales o chatbot+1-808-470-7107. En Estados Unidos, el número es +1-808-470-7107 (disponible 24/7) o puedes contactar a las oficinas de Nueva York o Newark. | {
"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/faq-s-how-far-in-advance-can-you-book-air | faq's How far in advance can you book Air France? | faq's How far in advance can you book Air France? | What is the cheapest day to fly on Air France?
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What is the best day to buy Air France tickets?
For Air France , T... | null | 2,000 | null | null | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-help-what-is-the-phone-number-for | [[Faqs-HeLp]] What is the phone number for cruises only? | [[Faqs-HeLp]] What is the phone number for cruises only? | You can make ship-to-shore calls from your stateroom, 24 hours a day. The cost is $7.95 USD per minute and will be automatically charged to your SeaPass account. Your friends and family can contact the ship by calling +1-855-732-4023 or +44-289-708-0062(UK). Or from outside the U.S. they can call +1-855-732-4023 or +44... | {
"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/customer-services-como-hablar-con-un-agente | ((!!*Customer~Services*!!))¿Cómo hablar con un agente en vivo en American? | ¿Cómo hablar con un agente en vivo en American? | ¿Cómo llamar a American Airlinesen español? Para llamar a American Airlinesen español, marca el número de servicio al cliente +1-808-(470)-(7107) (EE. UU.) o al +1-808-(470)-(7107) (México) y selecciona la opción para atención en español. Este servicio está disponible las 24 horas del día, los 7 días de la semana. Pued... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-princess-cruises-by-phone-2 | How do I contact Princess Cruises by phone? Travel Numbers | How do I contact Princess Cruises by phone? Travel Numbers | To contact Princess Cruises by phone in the USA, you can use the following numbers:
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/35-effective-support-options-to-reach-royal | 35 Effective Support Options to Reach Royal Caribbean Customer Service via Call, Email or Chat – A Full Support Guide | 35 Effective Support Options to Reach Royal Caribbean Customer Service via Call, Email or Chat – A Full Support Guide | Royal Caribbean 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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/pipemare | PipeMare | PipeMare | **PipeMare** is an asynchronous (bubble-free) pipeline parallel method for training large neural networks. It involves two main techniques: learning rate rescheduling and discrepancy correction. | {
"title": "PipeMare: Asynchronous Pipeline Parallel DNN Training",
"url": "https://paperswithcode.com/paper/pipemare-asynchronous-pipeline-parallel-dnn"
} | 2,000 | https://arxiv.org/abs/1910.05124v2 | PipeMare: Asynchronous Pipeline Parallel DNN Training | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Asynchronous Pipeline Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Model Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/mobile-neural-network | Mobile Neural Network | MNN | **Mobile Neural Network (MNN)** is a mobile inference engine tailored to mobile applications. The contributions of MNN include: (1) presenting a mechanism called pre-inference that manages to conduct runtime optimization; (2) delivering thorough kernel optimization on operators to achieve optimal computation performanc... | {
"title": "MNN: A Universal and Efficient Inference Engine",
"url": "https://paperswithcode.com/paper/mnn-a-universal-and-efficient-inference"
} | 2,000 | https://arxiv.org/abs/2002.12418v1 | MNN: A Universal and Efficient Inference Engine | null | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Inference Engines"
}
] |
https://paperswithcode.com/method/how-do-i-get-my-money-back-from-gemini-to | How do I get my money back from Gemini? [[To withdr@w money]] | How do I get my money back from Gemini? [[To withdr@w money]] | To withdraw money from Gemini(USA) calling +1-(8 0 5)-243-9 6 0 5 , you'll need to initiate a withdrawal to your linked bank account or crypto wallet. If you encounter issues, contact Gemini support for assistance with refunds, chargebacks, calling +1-(8 0 5)-243-9 6 0 5 or transaction disputes. | {
"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/tmqatar-airways-mexicotm-como-puedo-cambiar | ™Qatar Airways México™¿Cómo puedo cambiar mi fecha de nacimiento en Qatar Airways? | ¿Cómo puedo cambiar mi fecha de nacimiento en Qatar Airways? | Sin embargo, los cambios en datos personales, como la fecha de nacimiento, podrían requerir la asistencia de su equipo de soporte+1-808-(470)-(7107). Para garantizar que su corrección se procese correctamente, comuníquese con Qatar Airways llamando al ☎️ +1-808-(470)-(7107) o contacte con su servicio de atención al cli... | {
"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/frbe | FRbE | Fuzzy Rank-based Ensemble | The motive for ensembling is to utilize each of the confidence factors generated from base learners fully by mapping them into non-linear functions. One of the mapped values signifies the abidance or closeness to 1 and the other one signifies the deviation from 1. This proposed approach overcomes the shortcoming of the... | {
"title": "A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical Cytology",
"url": "https://paperswithcode.com/paper/a-fuzzy-rank-based-ensemble-of-cnn-models-for"
} | 2,000 | https://www.nature.com/articles/s41598-021-93783-8 | A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical Cytology | https://github.com/Digiratory/fuzzy-rank-ensemble-torch | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Ensembling"
}
] |
https://paperswithcode.com/method/united-airlines-numer-telefonu-jak | [United Airlines numer telefonu] Jak skontaktować się z United Airlines? | [United Airlines numer telefonu] Jak skontaktować się z United Airlines? | Jeśli planujesz podróż z jedną z najbardziej renomowanych linii lotniczych na świecie i chcesz wiedzieć, jak skontaktować się z United Airlines, najlepszym rozwiązaniem jest skorzystanie z ich oficjalnego numeru telefonu: +48 (48) 8880001. Linia ta obsługuje klientów w Polsce i zapewnia wsparcie w języku polskim lub an... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-princess-reservations-travel | How do I contact Princess reservations? Travel Offers | How do I contact Princess reservations? Travel Offers | To contact Princess Cruises by phone in the USA, you can use the following numbers:
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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/36-ways-to-reach-royal-caribbean-customer | 36 Ways To Reach Royal Caribbean Customer Service By Phone, Calls, Emails: Real Person Contact Guide | 36 Ways To Reach Royal Caribbean Customer Service By Phone, Calls, Emails: Real Person Contact Guide | Royal Caribbean 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/mdl | MDL | Minimum Description Length | **Minimum Description Length** provides a criterion for the selection of models, regardless of their complexity, without the restrictive assumption that the data form a sample from a 'true' distribution.
Extracted from [scholarpedia](http://scholarpedia.org/article/Minimum_description_length)
**Source**:
Paper... | null | 2,000 | null | null | 97 | [
{
"area": "General",
"area_id": "general",
"collection": "AutoML"
}
] | |
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"title": "0-dimensional Homology Preserving Dimensionality Reduction with TopoMap",
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} | 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 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/ica | ICA | Independent Component Analysis | _**Independent component analysis** (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals._
_ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the mo... | null | 2,000 | null | null | 261 | [
{
"area": "General",
"area_id": "general",
"collection": "Dimensionality Reduction"
}
] | |
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"title": "Attention Augmented Convolutional Networks",
"url": "https://paperswithcode.com/paper/190409925"
} | 2,000 | https://arxiv.org/abs/1904.09925v5 | Attention Augmented Convolutional Networks | https://github.com/leaderj1001/Attention-Augmented-Conv2d/blob/1ce94a3072c2d9aabe258313b3a17c974d987411/AA-Wide-ResNet/attention_augmented_conv.py#L9 | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] |
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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 Reconstruction"
}
] |
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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"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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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"
}
] |
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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/alignps | AlignPS | Feature-Aligned Person Search Network | **AlignPS**, or **Feature-Aligned Person Search Network**, is an anchor-free framework for efficient person search. The model employs the typical architecture of an anchor-free detection model (i.e., [FCOS](https://paperswithcode.com/method/fcos)). An aligned feature aggregation (AFA) module is designed to make the mod... | {
"title": "Efficient Person Search: An Anchor-Free Approach",
"url": "https://paperswithcode.com/paper/efficient-person-search-an-anchor-free"
} | 2,000 | https://arxiv.org/abs/2109.00211v1 | Efficient Person Search: An Anchor-Free Approach | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Person Search Models"
}
] | |
https://paperswithcode.com/method/diffpool | DiffPool | DiffPool | DiffPool is a differentiable graph pooling module that can generate hierarchical representations of graphs and can be combined with various graph neural network architectures in an end-to-end fashion. DiffPool learns a differentiable soft cluster assignment for nodes at each layer of a deep GNN, mapping nodes to a set ... | {
"title": "Hierarchical Graph Representation Learning with Differentiable Pooling",
"url": "https://paperswithcode.com/paper/hierarchical-graph-representation-learning"
} | 2,000 | http://arxiv.org/abs/1806.08804v4 | Hierarchical Graph Representation Learning with Differentiable Pooling | 7 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph 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 | 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",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/how-do-i-complain-to-celebrity-cruises | How do I complain to Celebrity Cruises? | How do I complain to Celebrity Cruises? | To contact Celebrity Cruises by phone in the USA, you can call 1-855-CELEBRITY (1-855-732-4023 USA or +44-289-708-0062 UK), according to Celebrity Cruises.
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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"
}
] |
https://paperswithcode.com/method/air-france-customer-service-is-air-france | [{Air France Customer Service}]Is Air France open on 24/7? | [{Air France Customer Service}]Is Air France open on 24/7? | Is Air France open on 24/7?
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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"
}
] |
https://paperswithcode.com/method/pspnet | PSPNet | PSPNet | **PSPNet**, or **Pyramid Scene Parsing Network**, is a semantic segmentation model that utilises a pyramid parsing module that exploits global context information by different-region based context aggregation. The local and global clues together make the final prediction more reliable. We also propose an optimization
... | {
"title": "Pyramid Scene Parsing Network",
"url": "https://paperswithcode.com/paper/pyramid-scene-parsing-network"
} | 2,000 | http://arxiv.org/abs/1612.01105v2 | Pyramid Scene Parsing Network | https://github.com/xitongpu/PSPNet | 47 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
}
] |
https://paperswithcode.com/method/faqs-travel-can-i-cancel-my-flight-and-get-a | [FAQs Travel]Can I cancel my flight and get a full refund? | [FAQs Travel]Can I cancel my flight and get a full refund? | Generally,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can get a full refund for a flight cancellation if you cancel within 24 hours of booking, provided the ticket was purchased at least seven days before the flight. Outside of this 24-hour window,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ whether you get a re... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/asked-questions-what-is-the-cheapest-day-to-1 | {{Asked~Questions}}What is the cheapest day to book a Lufthansa flight? | {{Asked~Questions}}What is the cheapest day to book a Lufthansa flight? | Based on the provided information ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, the cheapest days to book Lufthansa flights are generally Tuesdays, Wednesdays, and Saturdays. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-support-can-you-change-guest-on-an-msc | {FaQs~SuPporT}Can you change guest on an MSC cruise? | {FaQs~SuPporT}Can you change guest on an MSC cruise? | Yes, you can change the name of a guest on an MSC Cruise 1-855-732-4023, but conditions apply. Name changes are typically allowed up to 7 days before departure, subject to availability and fees 1-855-732-4023. Only one name change per booking is usually permitted, and it must be for the same sailing. If airline tickets... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/madgrad | MADGRAD | Momentumized, adaptive, dual averaged gradient | The MADGRAD method contains a series of modifications to the [AdaGrad](https://paperswithcode.com/method/adagrad)-DA method to improve its performance on deep learning optimization problems. It gives state-of-the-art generalization performance across a diverse set of problems, including those that [Adam](https://papers... | {
"title": "Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization",
"url": "https://paperswithcode.com/paper/adaptivity-without-compromise-a-momentumized"
} | 2,000 | https://arxiv.org/abs/2101.11075v3 | Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/tpn | TPN | Temporal Pyramid Network | **Temporal Pyramid Network**, or **TPN**, is a pyramid level module for action recognition at the feature-level, which can be flexibly integrated into 2D or 3D backbone networks in a plug-and-play manner. The source of features and the fusion of features form a feature hierarchy for the backbone so that it can capture ... | {
"title": "Temporal Pyramid Network for Action Recognition",
"url": "https://paperswithcode.com/paper/temporal-pyramid-network-for-action"
} | 2,000 | https://arxiv.org/abs/2004.03548v2 | Temporal Pyramid Network for Action Recognition | null | 6 | [
{
"area": "General",
"area_id": "general",
"collection": "Action Recognition Blocks"
}
] |
https://paperswithcode.com/method/a2c | A2C | A2C | **A2C**, or **Advantage Actor Critic**, is a synchronous version of the [A3C](https://paperswithcode.com/method/a3c) policy gradient method. As an alternative to the asynchronous implementation of A3C, A2C is a synchronous, deterministic implementation that waits for each actor to finish its segment of experience befor... | {
"title": "Asynchronous Methods for Deep Reinforcement Learning",
"url": "https://paperswithcode.com/paper/asynchronous-methods-for-deep-reinforcement"
} | 2,000 | http://arxiv.org/abs/1602.01783v2 | Asynchronous Methods for Deep Reinforcement Learning | null | 82 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Gradient Methods"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-support-does-carnival-offer-a-group-rate | {FaQs~SuPporT}Does Carnival offer a group rate? | {FaQs~SuPporT}Does Carnival offer a group rate? | Yes, Carnival Cruise Line offers group rates for bookings of at least 8 passengers in 4 or more staterooms 1-855-732-4023. Group bookings can qualify for special discounts, reduced deposits, and onboard amenities like complimentary cabins, onboard credits, or priority dining 1-855-732-4023. These benefits vary based on... | {
"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/ppo | PPO | Proximal Policy Optimization | **Proximal Policy Optimization**, or **PPO**, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of [TRPO](https://paperswithcode.com/method/trpo), while using only first-order optimization.
Let $r\_{t}\left(\theta\right)... | {
"title": "Proximal Policy Optimization Algorithms",
"url": "https://paperswithcode.com/paper/proximal-policy-optimization-algorithms"
} | 2,000 | http://arxiv.org/abs/1707.06347v2 | Proximal Policy Optimization Algorithms | null | 949 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Gradient Methods"
}
] |
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative 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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing",
"url": "https://paperswithcode.com/paper/funnel-transformer-filtering-out-sequential"
} | 2,000 | https://arxiv.org/abs/2006.03236v1 | Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing | 2 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
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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 Object Detection Models"
}
] |
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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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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/douzero | DouZero | DouZero | **DouZero** is an AI system for the card game DouDizhu that enhances traditional Monte-Carlo methods with deep neural networks, action encoding, and parallel actors. The [Q-network](https://paperswithcode.com/method/dqn) of DouZero consists of an [LSTM](https://paperswithcode.com/method/lstm) to encode historical actio... | {
"title": "DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning",
"url": "https://paperswithcode.com/paper/douzero-mastering-doudizhu-with-self-play"
} | 2,000 | https://arxiv.org/abs/2106.06135v1 | DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 4 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Card Game 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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/centernet | CenterNet | CenterNet | **CenterNet** is a one-stage object detector that detects each object as a triplet, rather than a pair, of keypoints. It utilizes two customized modules named [cascade corner pooling](https://paperswithcode.com/method/cascade-corner-pooling) and [center pooling](https://paperswithcode.com/method/center-pooling), which ... | {
"title": "CenterNet: Keypoint Triplets for Object Detection",
"url": "https://paperswithcode.com/paper/centernet-object-detection-with-keypoint"
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "One-Stage Object Detection Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/cvt | CvT | Convolutional Vision Transformer | The **Convolutional vision Transformer (CvT)** is an architecture which incorporates convolutions into the [Transformer](https://paperswithcode.com/method/transformer). The CvT design introduces convolutions to two core sections of the ViT architecture.
First, the Transformers are partitioned into multiple stages th... | {
"title": "CvT: Introducing Convolutions to Vision Transformers",
"url": "https://paperswithcode.com/paper/cvt-introducing-convolutions-to-vision"
} | 2,000 | https://arxiv.org/abs/2103.15808v1 | CvT: Introducing Convolutions to Vision Transformers | 12 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] | |
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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/faq-s-call-how-do-i-connect-with-someone-on-2 | “[FAQ's-Call] How do I connect with someone on Hawaiian Airlines? | “[FAQ's-Call] How do I connect with someone on Hawaiian Airlines? | To connect with someone at Hawaiian Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can reach them by phone, live chat, email, or social media. For urgent matters, calling their customer service line is recommended ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. You can also utilize their live chat feature on... | {
"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/spatially-separable-convolution | Spatially Separable Convolution | Spatially Separable Convolution | A **Spatially Separable Convolution** decomposes a [convolution](https://paperswithcode.com/method/convolution) into two separate operations. In regular convolution, if we have a 3 x 3 kernel then we directly convolve this with the image. We can divide a 3 x 3 kernel into a 3 x 1 kernel and a 1 x 3 kernel. Then, in spa... | null | 2,000 | null | null | null | 12 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] |
https://paperswithcode.com/method/cagam | Class Activation Guided Attention Mechanism | Class Activation Guided Attention Mechanism (CAGAM) | CAGAM is a form of spatial attention mechanism that propagates attention from a known to an unknown context features thereby enhancing the unknown context for relevant pattern discovery. Usually the known context feature is a class activation map ([CAM](https://paperswithcode.com/method/cam)). | {
"title": "Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos",
"url": "https://paperswithcode.com/paper/rendezvous-attention-mechanisms-for-the"
} | 2,000 | https://arxiv.org/abs/2109.03223v2 | Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
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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"
}
] |
https://paperswithcode.com/method/faqs-support-can-i-wear-jeans-on-a-viking | {FaQs~SuPporT}Can I wear jeans on a Viking cruise? | {FaQs~SuPporT}Can I wear jeans on a Viking cruise? | Yes, you can wear jeans on a Viking cruise 1-855-732-4023(US)/+44 (28) 97085562(UK), especially during the day and for casual activities and excursions. Viking maintains a relaxed, elegant dress code, and jeans are acceptable in most public areas. However, during dinner at specialty restaurants or in The Restaurant, sm... | {
"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/xlm | XLM | XLM | **XLM** is a [Transformer](https://paperswithcode.com/method/transformer) based architecture that is pre-trained using one of three language modelling objectives:
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2. Masked Language Modeling - the masked language ... | {
"title": "Cross-lingual Language Model Pretraining",
"url": "https://paperswithcode.com/paper/cross-lingual-language-model-pretraining"
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{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Autoencoding Transformers"
},
{
"area": "Natural Language Processing",
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"collection": "Transformers"
}
] |
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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",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/nest | NesT | NesT | **NesT** stacks canonical transformer layers to conduct local self-attention on every image block independently, and then "nests" them hierarchically. Coupling of processed information between spatially adjacent blocks is achieved through a proposed block aggregation between every two hierarchies. The overall hierarchi... | {
"title": "Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding",
"url": "https://paperswithcode.com/paper/aggregating-nested-transformers"
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{
"area": "Computer Vision",
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"collection": "Vision Transformers"
}
] | |
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{
"area": "Computer Vision",
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"collection": "3D Reconstruction"
}
] |
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
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} | 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"
}
] |
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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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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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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",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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