url stringlengths 36 82 | name stringlengths 2 143 | full_name stringlengths 2 143 โ | description stringlengths 0 9.95k | paper dict | introduced_year int64 1.95k 2.02k | source_url stringlengths 32 228 โ | source_title stringlengths 9 170 โ | code_snippet_url stringclasses 464
values | num_papers int64 0 37.4k | collections listlengths 0 6 |
|---|---|---|---|---|---|---|---|---|---|---|
https://paperswithcode.com/method/24-x-7-guide-como-hablo-con-una-persona-en | 24(ร)7ใguide!!ใยฟCรณmo hablo con una persona en American Airlines? | 24(ร)7ใguide!!ใยฟCรณmo hablo con una persona en American Airlines? | ยฟCรณmo llamar a American en Estados Unidos? Para llamar a American desde Estados Unidos, marca el nรบmero de atenciรณn al cliente โ+1โ808โ470โ7107 (OTA). or +1โค808โค470โค7107 Este nรบmero brinda soporte en espaรฑol para reservas, cambios de vuelos y otros servicios. Asegรบrate de tener tu nรบmero de reserva disponible. El centr... | {
"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-can-i-contact-disney-plus-support-need-a | How can I contact Disney Plus support? {{Need a human to talk to}} | How can I contact Disney Plus support? {{Need a human to talk to}} | You can contact Disney Plus support by calling 1-(844) 569-9955โtheyโre available 24/7. Or, head to the Disney+ Help Center online and start a live chat with a support agent. You can also use the Help section 1-(844) 569-9955 in the app. These are the quickest ways to get help if youโre having any issues with your acco... | {
"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-contact-carnival-about-booking-to | How do I contact Carnival about booking?โก๏ธTo "Manage My Booking" or "Already Booked" | How do I contact Carnival about booking?โก๏ธTo "Manage My Booking" or "Already Booked" | Way to contact carnival cruise cancellation phone number?
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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/zlap-1 | ZLaP* | Sparsified zero-shot label propagation | {
"title": "Label Propagation for Zero-shot Classification with Vision-Language Models",
"url": "https://paperswithcode.com/paper/label-propagation-for-zero-shot"
} | 2,000 | https://arxiv.org/abs/2404.04072v1 | Label Propagation for Zero-shot Classification with Vision-Language Models | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Non-Parametric Classification"
}
] | |
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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/gravity | Gravity | Gravity | Gravity is a kinematic approach to optimization based on gradients. | {
"title": "Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning",
"url": "https://paperswithcode.com/paper/gravity-optimizer-a-kinematic-approach-on"
} | 2,000 | https://arxiv.org/abs/2101.09192v1 | Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning | null | 202 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/e-swish | E-swish | E-swish | {
"title": "E-swish: Adjusting Activations to Different Network Depths",
"url": "https://paperswithcode.com/paper/e-swish-adjusting-activations-to-different"
} | 2,000 | http://arxiv.org/abs/1801.07145v1 | E-swish: Adjusting Activations to Different Network Depths | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] | |
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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/customer-service-is-room-service-24-7-on | [[Customer service]]Is room service 24/7 on Royal Caribbean? | [[Customer service]]Is room service 24/7 on Royal Caribbean? | To contact Royal Caribbean for general inquiries, you can call their customer service line at 1-855-732-4023 or 1-808-900-8011.
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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/rbpn | RBPN | Recurrent Back Projection Network | {
"title": "Recurrent Back-Projection Network for Video Super-Resolution",
"url": "https://paperswithcode.com/paper/recurrent-back-projection-network-for-video"
} | 2,000 | http://arxiv.org/abs/1903.10128v1 | Recurrent Back-Projection Network for Video Super-Resolution | null | 2 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Recurrent Neural Networks"
}
] | |
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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/touch-with-live-person-how-do-i-get-a-human | Touch with Live Person"How do I get a human at Allegiant Air immediately? | Touch with Live Person"How do I get a human at Allegiant Air immediately? | How do I get a human at Allegiant Air immediately?
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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/holland-america-cruises-r-usa-contact-numbers-1 | Holland America Cruisesยฎ๏ธ USA Contact Numbers: Full Support Guide 2025 | Holland America Cruisesยฎ๏ธ USA Contact Numbers: Full Support Guide 2025 | Holland America Cruises Cancellation Policy: Best Guide to Cancel & Get Refund โ 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 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/rigl | RigL | Rigging the Lottery | Dynamic Sparse Training method based on using the gradient norm to select which weights to remove/add in each mask update. | {
"title": "Rigging the Lottery: Making All Tickets Winners",
"url": "https://paperswithcode.com/paper/rigging-the-lottery-making-all-tickets-1"
} | 2,000 | https://arxiv.org/abs/1911.11134v3 | Rigging the Lottery: Making All Tickets Winners | null | 5 | [
{
"area": "General",
"area_id": "general",
"collection": "Pruning"
}
] |
https://paperswithcode.com/method/ada | ADA | Adaptive Discriminator Augmentation | {
"title": "Training Generative Adversarial Networks with Limited Data",
"url": "https://paperswithcode.com/paper/training-generative-adversarial-networks-with-2"
} | 2,000 | https://arxiv.org/abs/2006.06676v2 | Training Generative Adversarial Networks with Limited Data | null | 68 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/heatmap | Heatmap | Heatmap | {
"title": "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation",
"url": "https://paperswithcode.com/paper/joint-training-of-a-convolutional-network-and"
} | 2,000 | http://arxiv.org/abs/1406.2984v2 | Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation | null | 437 | [
{
"area": "General",
"area_id": "general",
"collection": "Output Functions"
}
] | |
https://paperswithcode.com/method/faqs-help-how-do-i-get-american-airlines-to | [[FAQs*Help]]How do I get American Airlines to respond? | [[FAQs*Help]]How do I get American Airlines to respond? | To get a response from American Airlines,โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
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. You can also use their online customer relations form for a potentially faster response than sending a letter. Othe... | {
"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-number-is-800-227-6482 | [FAQs-Support]What number is 800 227 6482? | [FAQs-Support]What number is 800 227 6482? | The phone number (800-227-6482)/ +1-855-732-4023 belongs to Royal Caribbean Internationalโs customer service +1-855-732-4023. This toll-free number is primarily used for cruise reservations, booking inquiries, payment assistance, and general customer support +1-855-732-4023. It connects you directly with a Royal Caribb... | {
"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/esvit | EsViT | EsViT | **EsViT** proposes two techniques for developing efficient self-supervised vision transformers for visual representation leaning: a multi-stage architecture with sparse self-attention and a new pre-training task of region matching. The multi-stage architecture reduces modeling complexity but with a cost of losing the a... | {
"title": "Efficient Self-supervised Vision Transformers for Representation Learning",
"url": "https://paperswithcode.com/paper/efficient-self-supervised-vision-transformers"
} | 2,000 | https://arxiv.org/abs/2106.09785v2 | Efficient Self-supervised Vision Transformers for Representation Learning | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] | |
https://paperswithcode.com/method/guideline-s-como-hablar-directamente-con-un | (Guideline~s)ยฟCรณmo hablar directamente con un agente de United? | ยฟCรณmo hablar directamente con un agente de United? | Para hablar directamente con un agente de United Airlines, puedes llamar a los siguientes nรบmeros: en Mรฉxico, llama al 1-808-470-7107 o al 1-808-470-7107; en Estados Unidos, el nรบmero es +1 (866)-801-2564 o 1-800-UNITED-1 (1-808-470-7107) para clientes de habla inglesa | {
"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/instant-help-24-7-can-i-upgrade-my-delta-seat | [Instant help 24/7] Can I upgrade my Delta seat after purchase? | [Instant help 24/7] Can I upgrade my Delta seat after purchase? | Yes,โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
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or by contacting Delta customer service. | {
"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": "6D Pose Estimation Models"
}
] |
https://paperswithcode.com/method/faq-s-data-como-hablar-con-united-airlines-en | (FAQ^s~DATA)ยฟCรณmo hablar con United Airlines en espaรฑol? | ยฟCรณmo hablar con United Airlines en espaรฑol? | Para hablar directamente con un agente de United Airlines, puedes llamar a los siguientes nรบmeros: en Mรฉxico, llama al 1-808-470-7107 o al 1-808-470-7107; en Estados Unidos, el nรบmero es +1 (866)-801-2564 o 1-800-UNITED-1 (1-808-470-7107) para clientes de habla inglesa | {
"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-do-i-get-response-at-spirit | Quick Help How do I get response at Spirit Airlines? | Quick Help How do I get response at Spirit Airlines? | To get a response from Spirit Airlines,๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท you can contact them through their website's live chat, call their customer service line, ๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท reach out via social media. For non-urgent matters,๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท... | {
"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/cw-cnn-cw-at | CW-CNN & CW-AT | CW-Complex Attention Mechanism | Please enter a description about the method here | {
"title": "CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes",
"url": "https://paperswithcode.com/paper/cw-cnn-cw-an-convolutional-networks-and"
} | 2,000 | https://arxiv.org/abs/2408.16686v2 | CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention"
}
] |
https://paperswithcode.com/method/expert-call-what-is-the-penalty-for | {{Expert~Call}} What is the penalty for cancelling a flight on American Airlines? | {{Expert~Call}} What is the penalty for cancelling a flight on American Airlines? | The cancellation penalty for American Airlines flights depends on the ticket type and when you cancel โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/gelu | Refunds@Expedia|||How do I get a full refund from Expedia? | Refunds@Expedia|||How do I get a full refund from Expedia? | โHow do I get a full refund from Expedia?
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"title": "Gaussian Error Linear Units (GELUs)",
"url": "https://paperswithcode.com/paper/gaussian-error-linear-units-gelus"
} | 2,000 | https://arxiv.org/abs/1606.08415v5 | Gaussian Error Linear Units (GELUs) | 11,340 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] | |
https://paperswithcode.com/method/faqs-support-how-do-i-contact-celebrity-2 | {[FAQs~SuPpOrt]}How do I contact Celebrity Cruise customer service by phone? | {[FAQs~SuPpOrt]}How do I contact Celebrity Cruise customer service by phone? | If you're in the United States or Canada and need to contact Celebrity Cruises customer service by phone, you can call their general inquiries and reservations line at +1-855-732-4023 or 1-808-900-8011.
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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/fullys-guide-how-do-i-get-a-refund-from | [Fullys`Guide]How do I get a refund from Disney Cruise? | [Fullys`Guide]How do I get a refund from Disney Cruise? | To request a refund from Disney Cruise Line, you'll generally need to contact them directly by phone or email. +1-855-732-4023 If Disney cancels or delays your cruise significantly,1-808-900-8011 you can email Caserequest@disneycruise.com for assistance with refunds or cruise credits. You can also call +1-855-732-4023 ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/experts-dial-what-is-the-cheapest-day-to-fly | [Experts Dial]-What is the cheapest day to fly on Copa Airlines? | [Experts Dial]-What is the cheapest day to fly on Copa Airlines? | Generally, Tuesdays, Wednesdays, and Saturdays are considered the most affordable days to travel with Copa Airlines โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
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. | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/soft-actor-critic | Soft Actor Critic | Soft Actor Critic | **Soft Actor Critic**, or **SAC**, is an off-policy actor-critic deep RL algorithm based on the maximum entropy reinforcement learning framework. In this framework, the actor aims to maximize expected reward while also maximizing entropy. That is, to succeed at the task while acting as randomly as possible. Prior deep ... | {
"title": "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor",
"url": "https://paperswithcode.com/paper/soft-actor-critic-off-policy-maximum-entropy"
} | 2,000 | http://arxiv.org/abs/1801.01290v2 | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor | null | 58 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Gradient Methods"
}
] |
https://paperswithcode.com/method/wipa | WIPA | Wavelet-integrated Identity Preserving Adversarial Network for face super-resolution | # WIPA: Wavelet-integrated, Identity Preserving, Adversarial network for Face Super-resolution
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# Paper:
[Super-resolution of very low-resolution fa... | null | 2,000 | null | null | https://github.com/hamidreza-dastmalchi/WIPA-Face-Super-Resolution | 0 | [
{
"area": "Computer Vision",
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"collection": "Face Restoration Models"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"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": "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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"collection": "2D Parallel Distributed Methods"
}
] |
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}
] |
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{
"area": "General",
"area_id": "general",
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}
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"title": "Improving Language Understanding by Generative Pre-Training",
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{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
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},
{
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}
] |
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{
"area": "General",
"area_id": "general",
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}
] |
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"title": "ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning",
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{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Video Models"
}
] |
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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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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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
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}
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"title": "0-dimensional Homology Preserving Dimensionality Reduction with TopoMap",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
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{
"area": "Sequential",
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
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} | 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": "Activation Functions"
}
] |
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"title": "YellowFin and the Art of Momentum Tuning",
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{
"area": "General",
"area_id": "general",
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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",
"area_id": "computer-vision",
"collection": "3D Face Mesh 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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
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] |
https://paperswithcode.com/method/does-american-airlines-compensate-for | Does American Airlines compensate for cancellations? | {Compensation~Guide} Does American Airlines compensate for cancellations? | ๐๐จ๐๐ฌ ๐๐ฆ๐๐ซ๐ข๐๐๐ง ๐๐ข๐ซ๐ฅ๐ข๐ง๐๐ฌ ๐๐จ๐ฆ๐ฉ๐๐ง๐ฌ๐๐ญ๐ ๐๐จ๐ซ ๐๐๐ง๐๐๐ฅ๐ฅ๐๐ญ๐ข๐จ๐ง๐ฌ?
๐๐๐ฌ, ๐๐ฆ๐๐ซ๐ข๐๐๐ง ๐๐ข๐ซ๐ฅ๐ข๐ง๐๐ฌ ๐ฆ๐๐ฒ ๐ฉ๐ซ๐จ๐ฏ๐ข๐๐ ๐๐จ๐ฆ๐ฉ๐๐ง๐ฌ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ซ ๐๐๐ง๐๐๐ฅ๐ฅ๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ฎ๐ญ ๐ข๐ญ ๐ฅ๐๐ซ๐ ๐๐ฅ๐ฒ ๐๐๐ฉ๐๐ง๐๐ฌ ๐จ๐ง ๐ญ๐ก๐ ๐ซ๐๐๐ฌ๐จ๐ง ๐๐จ๐ซ ๐ญ๐ก๐ ๐๐๐ง๐๐๐ฅ๐ฅ๏ฟฝ... | {
"title": "Neural Machine Translation by Jointly Learning to Align and Translate",
"url": "https://paperswithcode.com/paper/neural-machine-translation-by-jointly"
} | 2,000 | http://arxiv.org/abs/1409.0473v7 | Neural Machine Translation by Jointly Learning to Align and Translate | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/l2m | L2M | Learning to Match | **L2M** is a learning algorithm that can work for most cross-domain distribution matching tasks. It automatically learns the cross-domain distribution matching without relying on hand-crafted priors on the matching loss. Instead, L2M reduces the inductive bias by using a meta-network to learn the distribution matching ... | {
"title": "Learning to Match Distributions for Domain Adaptation",
"url": "https://paperswithcode.com/paper/learning-to-match-distributions-for-domain"
} | 2,000 | https://arxiv.org/abs/2007.10791v3 | Learning to Match Distributions for Domain Adaptation | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Domain Adaptation"
}
] |
https://paperswithcode.com/method/proxyanchorloss | ProxyAnchorLoss | Proxy Anchor Loss for Deep Metric Learning | {
"title": "Proxy Anchor Loss for Deep Metric Learning",
"url": "https://paperswithcode.com/paper/proxy-anchor-loss-for-deep-metric-learning"
} | 2,000 | https://arxiv.org/abs/2003.13911v1 | Proxy Anchor Loss for Deep Metric Learning | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Loss Functions"
}
] | |
https://paperswithcode.com/method/bsstday-what-is-the-cheapest-day-to-fly-delta | @_BsSTDAY_What is the cheapest day to fly Delta? | @_BsSTDAY_What is the cheapest day to fly Delta? | What days are the cheapest to fly Delta?
For the lowest Delta Airlines fares, fly on a Tuesday or Wednesday. Call 1-833-705-0001(US)/ +44 (20) 39003980(UK) (UK) for assistance with bookings or travel questions. Tuesdays and Wednesdays are usually the cheapest days to travel with Delta Airlines.
What is the cheapest 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/come-parlare-con-un-operatore-swiss-air-1 | Come parlare con un operatore Swiss Air? Contatto Ufficiale | Come parlare con un operatore Swiss Air? Contatto Ufficiale | Per risolvere problemi di check-in o cambi orari, telefona a Swiss Air al +39-02-00-70-23-83. Gli operatori rispondono al +39-02-00-70-23-83 con cortesia ed efficienza. Usa il +39-02-00-70-23-83 per un supporto affidabile.
Il numero +39-02-00-70-23-83 รจ il mezzo piรน rapido per parlare con un rappresentante Swiss Air... | {
"title": "YOLO9000: Better, Faster, Stronger",
"url": "https://paperswithcode.com/paper/yolo9000-better-faster-stronger"
} | 2,000 | http://arxiv.org/abs/1612.08242v1 | YOLO9000: Better, Faster, Stronger | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/depth-wise-plane-sweeping | Depth-wise Plane Sweeping | Depth-wise Plane Sweeping | {
"title": "DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors",
"url": "https://paperswithcode.com/paper/dsgn-exploiting-visual-spatial-relation"
} | 2,000 | https://arxiv.org/abs/2204.03039v3 | DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] | |
https://paperswithcode.com/method/guide-agenttm-how-can-i-speak-to-a-disney | [Guide~Agentโข]How can I speak to a Disney Cruise Line representative fast? | [Guide~Agentโข]How can I speak to a Disney Cruise Line representative fast? | To reach a Disney Cruise Line representative quickly,+1-808-900-8011 try calling their customer service line early in the morning on a weekday or using the live chat feature on the Disney Cruise Line website. +1-(855)-732-4023 For urgent matters, the chat feature may be the fastest option.
Here's a breakdown of the b... | {
"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/comment-joindre-air-france-toulouse-contact | Comment joindre Air France Toulouse ? "Contact local" | Comment joindre Air France Toulouse ? "Contact local" | Vous souhaitez contacter lโagence Toulouse dโAir France ? Le meilleur moyen est de passer par le service client national au (+33)-(1)-(5900) 2948. Ce numรฉro centralisรฉ permet dโobtenir les informations spรฉcifiques ร la ville de Toulouse et ร ses vols. Pour toute aide tรฉlรฉphonique (+33)-(1)-(5900) 2948 concernant une rรฉ... | {
"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/urgente-llamando-como-hablar-con-un-agente-en | {Urgente~Llamando}ยฟCรณmo hablar con un agente en vivo de American para hacer reservas? | {Urgente~Llamando}ยฟCรณmo hablar con un agente en vivo de American para hacer reservas? | Para hablar con un agente en vivo de American Airlines y hacer reservas, puedes llamar al nรบmero de atenciรณn al cliente en espaรฑol: +1-808-470-7107. Tambiรฉn puedes visitar el sitio web de American Airlines o su aplicaciรณn mรณvil y utilizar la opciรณn de chat en vivo, o bien, contactarlos a travรฉs de redes sociales como T... | {
"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/metapath2vec | metapath2vec | metapath2vec | {
"title": "metapath2vec: Scalable Representation Learning for Heterogeneous Networks",
"url": "https://paperswithcode.com/paper/metapath2vec-scalable-representation-learning"
} | 2,000 | https://dl.acm.org/doi/10.1145/3097983.3098036 | metapath2vec: Scalable Representation Learning for Heterogeneous Networks | null | 9 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] | |
https://paperswithcode.com/method/expert-guide-r-tmdoes-qatar-airways-respond | [[Expert-Guideยฎ]]โขDoes Qatar Airways respond to complaints? | [[Expert-Guideยฎ]]โขDoes Qatar Airways respond to complaints? | Yes, Qatar Airways does respond to customer complaints๐+1-801-(855)-(5905) or +1-804-(853)-(9001)๐ท. According to their customer service commitment, they acknowledge complaints in writing within 30 days and aim to provide a substantive response within 60 days. This commitment applies to various aspects,๐+1-801-(855)-... | {
"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/does-american-have-a-cancellation-policy | Does American have a cancellation policy? | [[Cancellation!!Guide]] Does American have a cancellation policy? | ๐๐จ๐๐ฌ ๐๐ฆ๐๐ซ๐ข๐๐๐ง ๐ก๐๐ฏ๐ ๐ ๐๐๐ง๐๐๐ฅ๐ฅ๐๐ญ๐ข๐จ๐ง ๐ฉ๐จ๐ฅ๐ข๐๐ฒ?
๐๐๐ฌ, ๐๐ฆ๐๐ซ๐ข๐๐๐ง ๐๐ข๐ซ๐ฅ๐ข๐ง๐๐ฌ ๐ก๐๐ฌ ๐ ๐๐ฅ๐๐๐ซ๐ฅ๐ฒ ๐๐๐๐ข๐ง๐๐ ๐๐๐ง๐๐๐ฅ๐ฅ๐๐ญ๐ข๐จ๐ง ๐ฉ๐จ๐ฅ๐ข๐๐ฒ ๐ญ๐ก๐๐ญ ๐จ๐ฎ๐ญ๐ฅ๐ข๐ง๐๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐จ๐ฉ๐ญ๐ข๐จ๐ง๐ฌ ๐๐๐ฌ๐๐ ๐จ๐ง ๐ญ๐ก๐ ๐ญ๐ฒ๐ฉ๐ ๐จ๐ ๐ญ๐ข๐๐ค๐๐ญ ๐ฒ๐จ๐ฎ ๐ฉ๐ฎ๐ซ๐๐ก๐๐ฌ๏ฟฝ... | {
"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/rrea | RREA | Relational Reflection Entity Alignment | {
"title": "Relational Reflection Entity Alignment",
"url": "https://paperswithcode.com/paper/relational-reflection-entity-alignment"
} | 2,000 | https://arxiv.org/abs/2008.07962v1 | Relational Reflection Entity Alignment | null | 2 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] | |
https://paperswithcode.com/method/faqs-aa-does-latam-allow-24-hour-cancellation | {{FAQS~AA}} Does LATAM allow 24-hour cancellation? | Does LATAM allow 24-hour cancellation? | Yes,โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
LATAM Airlines generally allows cancellations within 24 hours of purchase for a full refund, provided the flight is at least 7 days away โ๏ธ+1-801-(855)-(5905) or +1-804-(853)-(9001)โ
. This is in line with the US Department Transportation's (DOT) 24-hour rule. However, s... | {
"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-file-a-claim-with-expedia | How do I file a claim with Expedia? | [[Easy~claim]]How do I file a claim with Expedia? | If you need to make a claim due to a service issue or failed booking, start by
contacting Expedia at +1-(805)-330-4056. This customer care number,
+1-(805)-330-4056, is your first step in raising a formal complaint or
reimbursement request. You should also submit a written report via their "Help"
section and includ... | {
"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/what-are-you-entitled-to-if-american-cancels | What are you entitled to if American cancels your flight? | (Full~Refund) What are you entitled to if American cancels your flight? | ๐๐ก๐๐ญ ๐๐ซ๐ ๐ฒ๐จ๐ฎ ๐๐ง๐ญ๐ข๐ญ๐ฅ๐๐ ๐ญ๐จ ๐ข๐ ๐๐ฆ๐๐ซ๐ข๐๐๐ง ๐๐๐ง๐๐๐ฅ๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐๐ฅ๐ข๐ ๐ก๐ญ?
๐๐ ๐๐ฆ๐๐ซ๐ข๐๐๐ง ๐๐ข๐ซ๐ฅ๐ข๐ง๐๐ฌ ๐๐๐ง๐๐๐ฅ๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐๐ฅ๐ข๐ ๐ก๐ญ, ๐ฒ๐จ๐ฎ๐ซ ๐๐ง๐ญ๐ข๐ญ๐ฅ๐๐ฆ๐๐ง๐ญ๐ฌ ๐๐๐ฉ๐๐ง๐ ๐จ๐ง ๐ญ๐ก๐ ๐ซ๐๐๐ฌ๐จ๐ง ๐๐จ๐ซ ๐ญ๐ก๐ ๐๐๐ง๐๐๐ฅ๐ฅ๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐ฒ๐จ๐ฎ๐ซ ๐ฌ๐ฉ๐๐๐ข... | {
"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-royal-caribbean-cancellation | What is the Royal Caribbean cancellation number? FAQS--Information | What is the Royal Caribbean cancellation number? FAQS--Information | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +1-808-900-8011. You can also manage your booking and potentially find cancellation information on their website.
To cancel a Royal Caribbean cruise... | {
"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/can-you-cancel-united-flights-and-get-a | Can you cancel United flights and get a refund? | Can you cancel United flights and get a refund? {{Full~Refund}} | ๐๐๐ง ๐ฒ๐จ๐ฎ ๐๐๐ง๐๐๐ฅ ๐๐ง๐ข๐ญ๐๐ ๐๐ฅ๐ข๐ ๐ก๐ญ๐ฌ ๐๐ง๐ ๐ ๐๐ญ ๐ ๐ซ๐๐๐ฎ๐ง๐?
๐๐๐ฌ, ๐ฒ๐จ๐ฎ ๐๐๐ง ๐๐๐ง๐๐๐ฅ ๐๐ง๐ข๐ญ๐๐ ๐๐ข๐ซ๐ฅ๐ข๐ง๐๐ฌ ๐๐ฅ๐ข๐ ๐ก๐ญ๐ฌ ๐๐ง๐ ๐ฉ๐จ๐ญ๐๐ง๐ญ๐ข๐๐ฅ๐ฅ๐ฒ ๐ซ๐๐๐๐ข๐ฏ๐ ๐ ๐ซ๐๐๐ฎ๐ง๐, ๐๐ฎ๐ญ ๐ญ๐ก๐ ๐จ๐ฎ๐ญ๐๐จ๐ฆ๐ ๐๐๐ฉ๐๐ง๐๐ฌ ๐จ๐ง ๐ญ๐ก๐ ๐ญ๐ฒ๐ฉ๐ ๐จ๐ ๐ญ๐ข๐๐ค๐๐ญ ๐ฒ๐จ๐ฎ ๏ฟฝ... | {
"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/fly-early-does-copa-have-refundable-tickets | Fly Early-Does Copa have refundable tickets? - | Fly Early-Does Copa have refundable tickets? - | Is Copa economy full refundable?
Yes, Copa Airlines does offer refundable tickets, +โ๏ธ+1-801-(855)-(5905)or +1-804-853-9001โ
. (US) Most other Copa fares, including Economy Basic, Economy Classic, and Business Promo,โ๏ธ+1-801-(855)-(5905)or +1-804-853-9001โ
. (US) are typically non-refundable. | {
"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/use | USE | Multilingual Universal Sentence Encoder | {
"title": "Multilingual Universal Sentence Encoder for Semantic Retrieval",
"url": "https://paperswithcode.com/paper/multilingual-universal-sentence-encoder-for"
} | 2,000 | https://arxiv.org/abs/1907.04307v1 | Multilingual Universal Sentence Encoder for Semantic Retrieval | null | 26 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Contextualized Word Embeddings"
}
] |
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