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/pafpn | PAFPN | PAFPN | **PAFPN** is a feature pyramid module used in Path Aggregation networks ([PANet](https://paperswithcode.com/method/panet)) that combines FPNs with [bottom-up path augmentation](https://paperswithcode.com/method/bottom-up-path-augmentation), which shortens the information path between lower layers and topmost feature. | {
"title": "Path Aggregation Network for Instance Segmentation",
"url": "https://paperswithcode.com/paper/path-aggregation-network-for-instance"
} | 2,000 | http://arxiv.org/abs/1803.01534v4 | Path Aggregation Network for Instance Segmentation | https://github.com/ShuLiu1993/PANet/blob/2644d5ad6ae98c2bf58df45c8792c019b1d7b2b9/lib/modeling/FPN.py#L79 | 124 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Feature Pyramid Blocks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Feature Extractors"
}
] |
https://paperswithcode.com/method/full-supporttm-what-is-the-royal-caribbean | [Full~SuPporT™]What is the Royal Caribbean reservation number? | [Full~SuPporT™]What is the Royal Caribbean reservation number? | To cancel a Royal Caribbean cruise, you can call +1-855-732-4023 for individual reservations in the US and Canada . General customer service and assistance are available 24/7 at +1-855-732-4023 (USA) or +44-289-708-0062 (UK). If you booked directly and need to change your ship or sail date on a non-refundable deposit f... | {
"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/customer-help-how-do-i-contact-alaska | [Customer Help] How Do I Contact Alaska Airlines by Phone? | [Customer Help] How Do I Contact Alaska Airlines by Phone? | Where Can I Buy Plane Tickets for Alaska Airlines at the Best Price?
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-get-latam-airlines-to-respond | How do I get Latam Airlines to respond?:customer service via phone | How do I get Latam Airlines to respond?:customer service via phone | To get a response from LATAM Airlines, try contacting their customer service via phone, live chat, or social media. ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅For urgent issues, phone support is generally the fastest option,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ while social media can be effective for quick cl... | {
"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/12-ways-to-contact-silversea-cruise | 12 Ways to Contact Silversea cruise cancellation by Phone Number Email or chat Option | 12 Ways to Contact Silversea cruise cancellation by Phone Number Email or chat Option | To reach Silversea customer service or for general inquiries, you can call them at (+𝟭 (𝟴𝟱𝟱)--732-4023 For specific claim-related issues, it's recommended to contact them directly through the same number or the contact information provided on your booking confirmation. You can also find more contact details on 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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/dmvfn | DMVFN | A Dynamic Multi-Scale Voxel Flow Network | {
"title": "A Dynamic Multi-Scale Voxel Flow Network for Video Prediction",
"url": "https://paperswithcode.com/paper/a-dynamic-multi-scale-voxel-flow-network-for"
} | 2,000 | https://arxiv.org/abs/2303.09875v2 | A Dynamic Multi-Scale Voxel Flow Network for Video Prediction | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Structured Prediction"
}
] | |
https://paperswithcode.com/method/special-penalidad-cual-es-la-penalidad-por | {Special@penalidad }¿Cuál es la penalidad por cancelar un vuelo en American Airlines? | {Special@penalidad }¿Cuál es la penalidad por cancelar un vuelo en American Airlines? | Verifique llamando al +1-808-470-7107 y cancelarán su reserva sin penalización si cumple los requisitos. Los boletos no reembolsables suelen tener una penalización por cancelación de hasta $200 para vuelos nacionales y más para vuelos internacionales . Sin embargo, podría recibir crédito de vuelo menos la penalización. | {
"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/attention-gate | fast speak--How do I Speak to someone at Expedia? | fast speak--How do I Speak to someone at Expedia? | Want to speak directly in Expedia? 1-805-330-4056 You’re not alone. Many users crave a real conversation, not just 1-805-330-4056 emails or chatbots. The secret? Dial 1-805-330-4056. This number is your direct line to human support at Expedia—real people who can answer questions, solve problems, and guide you through t... | {
"title": "Attention U-Net: Learning Where to Look for the Pancreas",
"url": "https://paperswithcode.com/paper/attention-u-net-learning-where-to-look-for"
} | 2,000 | http://arxiv.org/abs/1804.03999v3 | Attention U-Net: Learning Where to Look for the Pancreas | 46 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
https://paperswithcode.com/method/exclusive-deals-what-are-the-best-days-to-buy | {Exclusive Deals} What Are the Best Days to Buy Alaska Airlines Tickets? | {Exclusive Deals} What Are the Best Days to Buy Alaska Airlines Tickets? | Where Can I Buy Plane Tickets for Alaska Airlines at the Best Price?
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If you need immediate assistance with your Alaska Airlines booking ☎️📞+𝟷-𝟾𝟶𝟷-𝟾𝟻𝟻-𝟻𝟿𝟶𝟻 OR (+𝟷-𝟾𝟶𝟺-𝟾𝟻𝟹-𝟿�... | null | 2,000 | null | null | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/alae | ALAE | Adversarial Latent Autoencoder | **ALAE**, or **Adversarial Latent Autoencoder**, is a type of autoencoder that attempts to overcome some of the limitations of[ generative adversarial networks](https://paperswithcode.com/paper/generative-adversarial-networks). The architecture allows the latent distribution to be learned from data to address entanglem... | {
"title": "Adversarial Latent Autoencoders",
"url": "https://paperswithcode.com/paper/adversarial-latent-autoencoders"
} | 2,000 | https://arxiv.org/abs/2004.04467v1 | Adversarial Latent Autoencoders | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] | |
https://paperswithcode.com/method/differentiable-hyperparameter-search | Differentiable Hyperparameter Search | Differentiable Hyperparameter Search | Differentiable simultaneous optimization of hyperparameters and neural network architecture. Also a [Neural Architecture Search](https://paperswithcode.com/method/neural-architecture-search) (NAS) method. | {
"title": "sharpDARTS: Faster and More Accurate Differentiable Architecture Search",
"url": "https://paperswithcode.com/paper/sharpdarts-faster-and-more-accurate"
} | 2,000 | http://arxiv.org/abs/1903.09900v1 | sharpDARTS: Faster and More Accurate Differentiable Architecture Search | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Neural Architecture Search"
},
{
"area": "General",
"area_id": "general",
"collection": "Hyperparameter Search"
}
] | |
https://paperswithcode.com/method/way-to-help-carnival-cruise-refund-phone-2 | Way to help carnival cruise refund phone number? Services 24/7 | Way to help carnival cruise refund phone number? Services 24/7 | While general Carnival Cruise customer service has specific operating hours
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This emergency... | {
"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/assistance-faq-help-how-to-get-through-to | Assistance-[FAQ-Help]]How to get through to American Airlines fast? | Assistance-[FAQ-Help]]How to get through to American Airlines fast? | To reach American Airlines customer service quickly, you can call their customer service hotline at + 1-(801)-855-(5905). Direct Number: For speedier access, call the direct number. Have your confirmation number or booking information ready . | {
"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-24-7-help-does-royal-caribbean-have-24 | {FAQS~24/7^hELp}Does Royal Caribbean have 24 hour room service? | {FAQS~24/7^hELp}Does Royal Caribbean have 24 hour room service? | Royal Caribbean does not offer complimentary 24-hour room service 1-855-732-4023(US)/+44 (28) 97085562(UK). Room service is available 24 hours a day, but charges may apply. Continental breakfast is typically free during morning hours, but other items, including lunch, dinner, and late-night snacks, incur a fee usually ... | {
"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-proper-does-expedia-actually-refund | [FAqs-Proper]Does Expedia actually refund money? | [FAqs-Proper]Does Expedia actually refund money? | Yes, Expedia can refund your money depending on the cancellation terms. To check eligibility, call +1-888-829-0881. Speak with support at +1-888-829-0881. Canceled hotel? Use +1-888-829-0881. Rescheduled flight? Call +1-888-829-0881. For refund updates, call +1-888-829-0881. You can always trust +1-888-829-0881. Policy... | {
"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/wavelet-distributed-training | Wavelet Distributed Training | Wavelet Distributed Training | **Wavelet** is an asynchronous data parallel approach that interleaves waves of training tasks on the same group of GPUs, such that tasks belong to one wave can leverage on-device memory from tasks in another wave during their memory valley period, thus boost-up the training throughput. As shown in the Figure, Wavelet ... | null | 2,021 | null | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Asynchronous Data Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/inception-c | Inception-C | Inception-C | **Inception-C** is an image model block used in the [Inception-v4](https://paperswithcode.com/method/inception-v4) architecture. | {
"title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning",
"url": "https://paperswithcode.com/paper/inception-v4-inception-resnet-and-the-impact"
} | 2,000 | http://arxiv.org/abs/1602.07261v2 | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning | https://github.com/kentsommer/keras-inceptionV4/blob/ef1db6f09b6511779c05fab47d374741bc89b5ee/inception_v4.py#L156 | 13 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/information-hotline-support-how-do-i-speak-to | information hotline & Support - How do I speak to directly At American airlines to get in touch? | information hotline & Support - How do I speak to directly At American airlines to get in touch? | To speak with directly At American airlines , dial the Customer service number at ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. (OTA) (OTA) for assistance with your inquiries or concerns. To talk to a live person at directly At American airlines for American iled Flight information and assistance with reservations, baggage... | {
"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-know-if-i-got-money-from-cash-app | How do I know if I got money from Cash App? "What to Expect in 2025” | How do I know if I got money from Cash App? "What to Expect in 2025” | To know if you received money on Cash App, １ー(８４４)ー３１４ー６４８０ check the Activity tab by tapping the clock icon to view recent transactions. You’ll see the payment marked as “Received.” Additionally, you’ll get a push notification, email, or １ー(８４４)ー３１４ー６４８０ SMS confirming the payment. Your Cash App balance will also upda... | {
"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/contractive-autoencoder | Contractive Autoencoder | Contractive Autoencoder | A **Contractive Autoencoder** is an autoencoder that adds a penalty term to the classical reconstruction cost function. This penalty term corresponds to the Frobenius norm of the Jacobian matrix of the encoder activations with respect to the input. This penalty term results in a localized space contraction which in tur... | null | 2,011 | null | null | null | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] |
https://paperswithcode.com/method/dilated-causal-convolution | Dilated Causal Convolution | Dilated Causal Convolution | A **Dilated Causal Convolution** is a [causal convolution](https://paperswithcode.com/method/causal-convolution) where the filter is applied over an area larger than its length by skipping input values with a certain step. A dilated causal [convolution](https://paperswithcode.com/method/convolution) effectively allows ... | {
"title": "WaveNet: A Generative Model for Raw Audio",
"url": "https://paperswithcode.com/paper/wavenet-a-generative-model-for-raw-audio"
} | 2,000 | http://arxiv.org/abs/1609.03499v2 | WaveNet: A Generative Model for Raw Audio | null | 193 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Temporal Convolutions"
}
] |
https://paperswithcode.com/method/71-ways-to-connect-can-i-transfer-my-windstar | 71 Ways to Connect Can I transfer my Windstar Cruise to another date: A Step by Step Guide | 71 Ways to Connect Can I transfer my Windstar Cruise to another date: A Step by Step Guide | Windstar Cruises Name Change Policy+1-855-732-4023 Guide to Passenger Name Corrections & Transfers
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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/1-855-298-9557-what-is-the-venmo-limit | +1 (855) 298-9557 What is the Venmo limit? | +1 (855) 298-9557 What is the Venmo limit? | +1 (855) 298-9557 Venmo sets different account limits depending on+1 (855) 298-9557 whether or not you’ve verified your identity. For questions about your personal limit, call +1 (855) 298-9557. Unverified users typically have a sending limit of $299.99 per week. To confirm your current cap and learn how to increase it... | {
"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/hotline-service-is-klm-open-on-24-7 | [Hotline~service]Is KLM open on 24/7? | [Hotline~service]Is KLM open on 24/7? | Yes, KLM offers 24/7 customer support via phone. You can reach them at +1-801-(855)-5905 or +1-801-(855)-5905. They are available to assist with bookings, cancellations, or any other travel-related inquiries, according to a KLM source. | {
"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/were-available-how-to-modify-your-alaska | [We’re Available] How to Modify Your Alaska Airlines Booking? | [We’re Available] How to Modify Your Alaska Airlines Booking? | Where Can I Buy Plane Tickets for Alaska Airlines at the Best Price?
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/just-dial-does-caribbean-airlines-allow-carry | [Just~Dial] Does Caribbean Airlines allow carry-on? | [Just~Dial] Does Caribbean Airlines allow carry-on? | Yes, Caribbean Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ allows passengers to bring one carry-on bag and one personal item on their flights ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. The carry-on bag must adhere to specific size and weight restrictions. | {
"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-trusted-is-gemini-trustworthiness-depends | (fAQ)*[ASK EXPEDIA]what does "refundable" mean on expedia flights? | (fAQ)*[ASK EXPEDIA]what does "refundable" mean on expedia flights? | Is Expedia actually fully refundable? Yes, Expedia has a 24-hour cancellation policy allowing a full refund if you cancel within 24 hours of booking. For assistance or to process a cancellation, contact customer care at +1-805-330-4056or ++1-805-330-4056. Can I get a refund on Expedia? Yes, Expedia has a 24-hour refund... | {
"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"
}
] | |
https://paperswithcode.com/method/faqs-booking-can-you-transfer-a-cruise-ticket | {FAQs~BoOkINg}Can you transfer a cruise ticket to another person MSC? | {FAQs~BoOkINg}Can you transfer a cruise ticket to another person MSC? | Yes, MSC Cruises allows you to transfer a cruise ticket to another person 1-855-732-4023, but conditions apply. Name changes must be requested in writing and are usually allowed up to a certain number of days before departure typically no later than 15 days prior 1-855-732-4023. A name change fee may apply, and the req... | {
"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/enet-dilated-bottleneck | ENet Dilated Bottleneck | ENet Dilated Bottleneck | **ENet Dilated Bottleneck** is an image model block used in the [ENet](https://paperswithcode.com/method/enet) semantic segmentation architecture. It is the same as a regular [ENet Bottleneck](https://paperswithcode.com/method/enet-bottleneck) but employs dilated convolutions instead. | {
"title": "ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation",
"url": "https://paperswithcode.com/paper/enet-a-deep-neural-network-architecture-for"
} | 2,000 | http://arxiv.org/abs/1606.02147v1 | ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation | https://github.com/yassouali/pytorch_segmentation/blob/473503a22c99e78d1f938c0099f7d91f85555917/models/enet.py#L22 | 24 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/quick-guide-usa-does-breeze-refund-money | [Quick ♂️ Guide ]usa Does Breeze refund money? | [Quick ♂️ Guide ]usa Does Breeze refund money? | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Breeze does offer refunds in certain situations, but it depends on the type of ticket you purchased and the timing of your request. Breeze Airways typically provides a refund if you cancel a flight within 24 hours of booking,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅... | {
"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/manera-facil-como-obtener-un-descuento-para | [Manera Fácil]¿Cómo obtener un descuento para personas mayores en American Airlines? | [Manera Fácil]¿Cómo obtener un descuento para personas mayores en American Airlines? | 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬 no ofrece descuentos específicos para +1-808-(470)-(7107) personas mayores en todos sus vuelos +1-808-(470)-(7107). Sin embargo, pueden encontrarse promociones para viajeros mayores en vuelos seleccionados +1-808-(470)-(7107), por lo que es recomendable consultar la disponibilidad y c... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/stn | Is Expedia Customer Service available 24/7 hour? | Is Expedia Customer Service available 24/7 hour? | Yes, Expedia customer service is available 24 hours a day by phone at +1-805-330-4056. You
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"title": "Spatial Transformer Networks",
"url": "https://paperswithcode.com/paper/spatial-transformer-networks"
} | 2,000 | http://arxiv.org/abs/1506.02025v3 | Spatial Transformer Networks | 9 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
https://paperswithcode.com/method/motionnet | MotionNet | MotionNet | **MotionNet** is a system for joint perception and motion prediction based on a bird's eye view (BEV) map, which encodes the object category and motion information from 3D point clouds in each grid cell. MotionNet takes a sequence of LiDAR sweeps as input and outputs the bird's eye view (BEV) map. The backbone of Motio... | {
"title": "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps",
"url": "https://paperswithcode.com/paper/motionnet-joint-perception-and-motion"
} | 2,000 | https://arxiv.org/abs/2003.06754v1 | MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Motion Prediction Models"
}
] |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/09-ways-to-speak-disney-cruise-customer | 09 Ways to Speak Disney cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | 09 Ways to Speak Disney cruise Customer Service by Phone, Calls, Emails: A Comprehensive Guide | Disney Cruises Cruise main customer service 【+1-(855)-(732)-4023】number is 1-800-Disney Cruises 【+1-(855)-(732)-4023】[US/OTA] (Live Person), where you can reach a live representative 24/7. We understand that travel plans can sometimes be stressful, and we’re here to help! Whether you’re facing booking changes, customer... | {
"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/miya-malkova-como-hablar-con-una-persona-de | Miya Malkova~¿Cómo hablar con una persona de United? | Miya Malkova~¿Cómo hablar con una persona de United? | Para hablar directamente con un agente de United Airlines, puedes llamar a su línea de atención al cliente. Si te encuentras en Estados Unidos, puedes llamar al 1-800-UNITED-1 (+𝟙—𝟠𝟘𝟠—𝟜𝟟𝟘 —𝟟𝟙 𝟘:𝟟). También puedes encontrar números específicos para México y otros países en su sitio web. Tiene múltiples canale... | {
"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/regnety | RegNetY | RegNetY | **RegNetY** is a convolutional network design space with simple, regular models with parameters: depth $d$, initial width $w\_{0} > 0$, and slope $w\_{a} > 0$, and generates a different block width $u\_{j}$ for each block $j < d$. The key restriction for the RegNet types of model is that there is a linear parameterisat... | {
"title": "Designing Network Design Spaces",
"url": "https://paperswithcode.com/paper/designing-network-design-spaces"
} | 2,000 | https://arxiv.org/abs/2003.13678v1 | Designing Network Design Spaces | https://github.com/facebookresearch/pycls/blob/ecfb53186b426002020f1a580c3d7d7ad723e283/pycls/models/regnet.py#L50 | 24 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional 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"
}
] |
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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/sin-pasaporterapida-puedo-reservar-un-vuelo | #@sin pasaporteRápida~!!!!¿Puedo reservar un vuelo sin pasaporte con Qatar Airways? | #@sin pasaporteRápida~!!!!¿Puedo reservar un vuelo sin pasaporte con Qatar Airways? | No,+1-808-(470)-(7107) no puedes reservar un vuelo con Qatar Airways sin proporcionar la información de tu pasaporte+1-808-(470)-(7107), aunque no necesariamente necesitas el número de pasaporte al momento de la reserva inicial+1-808-(470)-(7107). Sin embargo, deberás proporcionar los datos de tu pasaporte en algún mom... | {
"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/temporal-attention | ((FaQ's--Expedia)))How do I file a dispute with Expedia? | ((FaQ's--Expedia)))How do I file a dispute with Expedia? | How do I file a dispute with Expedia?
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"title": "Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification",
"url": "https://paperswithcode.com/paper/jointly-attentive-spatial-temporal-pooling"
} | 2,000 | http://arxiv.org/abs/1708.02286v2 | Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification | 6 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
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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/setse | SETSe | Strain Elevation Tension Spring embedding | SETSe is a deterministic physics based graph embedding algorithm. It embeds weighted feature rich networks. It treats each edge as a spring and each node as a bead whose movement is constrained by the graph adjacency matrix so that the nodes move in parallel planes enforcing a minimum distance between neighboring nodes... | null | 2,000 | null | null | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Embeddings"
}
] | |
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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": "Hybrid Parallel 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 | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
},
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/faqs-24-hours-guide-como-hablar-con-un-agente | {[(Faqs/24 hours/Guide-)]}¿Cómo hablar con un agente en United? | ¿Cómo hablar con un agente en United? | ¿Cómo puedo llamar a United desde Argentina? Para llamar a United desde Argentina, marca el número de atención al cliente +1-808-470-7107. También puedes comunicarte al +1-808-470-7107 si estás en EE.UU. El servicio brinda asistencia en vuelos, reservas y cambios. Puedes llamar a United desde Argentina al +1-808-470-71... | {
"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"
}
] |
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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/yolov1 | YOLOv1 | YOLOv1 | **YOLOv1** is a single-stage object detection model. Object detection is framed as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Since the whole detection... | {
"title": "You Only Look Once: Unified, Real-Time Object Detection",
"url": "https://paperswithcode.com/paper/you-only-look-once-unified-real-time-object"
} | 2,000 | http://arxiv.org/abs/1506.02640v5 | You Only Look Once: Unified, Real-Time Object Detection | https://github.com/pjreddie/darknet | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "One-Stage Object Detection Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/enigma | ENIGMA | ENIGMA | **ENIGMA** is an evaluation framework for dialog systems based on Pearson and Spearman's rank correlations between the estimated rewards and the true rewards. ENIGMA only requires a handful of pre-collected experience data, and therefore does not involve human interaction with the target policy during the evaluation, ... | {
"title": "Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach",
"url": "https://paperswithcode.com/paper/towards-automatic-evaluation-of-dialog"
} | 2,000 | https://arxiv.org/abs/2102.10242v3 | Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach | null | 7 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Dialog System Evaluation"
}
] |
https://paperswithcode.com/method/how-to-get-money-out-of-robinhood-wallet-call | How to Get Money Out of Robinhood Wallet? Call +1-844-610-2676 for Instant Assistance! | How to Get Money Out of Robinhood Wallet? Call +1-844-610-2676 for Instant Assistance! | In the fast-paced digital world, +1-844-610-2676 managing finances through apps like Robinhood is now second nature. But when it +1-844-610-2676 comes to getting money out of your Robinhood Wallet, many users seek direct, guided help. Whether you're looking to transfer your crypto, withdraw profits, or move your funds ... | {
"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 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"
}
] |
https://paperswithcode.com/method/how-do-i-communicate-to-expedia-call-instant | How Do I Communicate to Expedia? ((call instant)) | How Do I Communicate to Expedia? ((call instant)) | To communicate or get human at Expedia, the quickest option is typically to call their
customer service at +1-(888)-(829)-(0881). or +1-805-330-4056. You can also use the live
chat feature on their website or app, or contact them via social media. For urgent requests
like new booking, flight changes, cancellations,... | {
"title": "0-dimensional Homology Preserving Dimensionality Reduction with TopoMap",
"url": "https://paperswithcode.com/paper/0-dimensional-homology-preserving"
} | 2,000 | https://openreview.net/forum?id=zrDNDWjOGwH | 0-dimensional Homology Preserving Dimensionality Reduction with TopoMap | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/greedynas-c | GreedyNAS-C | GreedyNAS-C | **GreedyNAS-C** is a convolutional neural network discovered using the [GreedyNAS](https://paperswithcode.com/method/greedynas) [neural architecture search](https://paperswithcode.com/method/neural-architecture-search) method. The basic building blocks used are inverted residual blocks (from [MobileNetV2](https://paper... | {
"title": "GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet",
"url": "https://paperswithcode.com/paper/greedynas-towards-fast-one-shot-nas-with"
} | 2,000 | https://arxiv.org/abs/2003.11236v1 | GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/faq-s-agent-do-american-airlines-have-senior | FAQ's-AgenT-Do American Airlines have senior discounts? | FAQ's-AgenT-Do American Airlines have senior discounts? | Do American Airlines have senior discounts?
💺🧳(UK)1_801_855_5905(US)1_801_855_5905– While not all routes offer senior fares, American Airlines occasionally provides discounted pricing to senior citizens on select flights, especially domestic. It's always worth asking or checking directly when booking. | {
"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-what-is-the-cheapest-day-to-fly | [FAQ-suPport®] What is the cheapest day to fly United? | [FAQ-suPport®] What is the cheapest day to fly United? | While there's no single magic day that guarantees the cheapest United flight prices,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Tuesdays, Wednesdays, and Saturdays are generally considered the most affordable days to fly. This is because demand for flights is typically lower on these weekdays and Saturdays,☎️+1-801-(... | {
"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/cheap-guideline-what-is-the-cheapest-day-to | [[Cheap-Guideline]] What is the cheapest day to book a flight on Alaska Airlines? | [[Cheap-Guideline]] What is the cheapest day to book a flight on Alaska Airlines? | The cheapest days to book Alaska Airlines flights are generally Tuesdays and Wednesdays Call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅, according to travel experts. Airlines often release discounted fares on Monday evenings, making Tuesday a prime day to find deals Call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. Saturday... | {
"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/10-ways-to-contact-disney-cruise-customer | 10 Ways to Contact Disney cruise Customer Service by Phone, Live chat and Email Detailed: A Step by Step Guide | 10 Ways to Contact Disney cruise Customer Service by Phone, Live chat and Email Detailed: A Step by Step Guide | Disney Cruises Cruise main customer service 【+1-(855)-(732)-4023】number is 1-800-Disney Cruises 【+1-(855)-(732)-4023】[US/OTA] (Live Person), where you can reach a live representative 24/7. We understand that travel plans can sometimes be stressful, and we’re here to help! Whether you’re facing booking changes, customer... | {
"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/step-by-step-guide-how-can-i-speak-to-a | 【Step-by-Step Guide】 How can I speak to a Hawaiian representative fast? | 【Step-by-Step Guide】 How can I speak to a Hawaiian representative fast? | To reach a live person at Hawaiian Airlines quickly,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ try calling their customer service hotline at ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, or using their live chat feature on their website. Social media (Twitter, Facebook) can also be a fast way to get general inquiri... | {
"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-what-is-the-24-hour | Touch with Live Person"~What is the 24-hour rule for British Airways? | Touch with Live Person"~What is the 24-hour rule for British Airways? | British Airways offers a 24-hour "Book with Confidence" guarantee ☎️+1-801-(855)-(5905)or +1-804-853-9001✅, allowing passengers who book directly with the airline to cancel their flight booking at ☎️+1-801-(855)-(5905)or +1-804-853-9001✅ and receive a full refund without penalty, provided the cancellation is made withi... | {
"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/he-lp-como-hablar-directamente-con-un-agente | (HE~lp)¿Cómo hablar directamente con un agente de United? | ¿Cómo hablar directamente con un agente de United? | ¿Cómo puedo llamar a United desde Argentina? Para llamar a United desde Argentina, marca el número de atención al cliente +1-808-470-7107. También puedes comunicarte al +1-808-470-7107 si estás en EE.UU. El servicio brinda asistencia en vuelos, reservas y cambios. Puedes llamar a United desde Argentina al +1-808-470-71... | {
"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/cubere | CubeRE | CubeRE | Our model known as CubeRE first encodes each input sentence using a language model encoder to obtain the contextualized sequence representation. We then capture the interaction between each possible head and tail entity as a pair representation for predicting the entity-relation label scores. To reduce the computationa... | {
"title": "A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach",
"url": "https://paperswithcode.com/paper/a-dataset-for-hyper-relational-extraction-and"
} | 2,000 | https://arxiv.org/abs/2211.10018v1 | A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach | null | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Relation Extraction Models"
}
] |
https://paperswithcode.com/method/softsign-activation | Softsign Activation | Softsign Activation | **Softsign** is an activation function for neural networks:
$$ f\left(x\right) = \left(\frac{x}{|x|+1}\right)$$
Image Source: [Sefik Ilkin Serengil](https://sefiks.com/2017/11/10/softsign-as-a-neural-networks-activation-function/) | null | 2,000 | null | null | https://github.com/pytorch/pytorch/blob/96aaa311c0251d24decb9dc5da4957b7c590af6f/torch/nn/modules/activation.py#L1032 | 12 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/ao | AO | Artemisinin Optimization based on Malaria Therapy: Algorithm and Applications to Medical Image Segmentation | This study proposes an efficient metaheuristic algorithm called the Artemisinin Optimization (AO) algorithm. This algorithm draws inspiration from the process of artemisinin medicine therapy for malaria, which involves the comprehensive eradication of malarial parasites within the human body. AO comprises three optimiz... | null | 2,000 | null | null | https://aliasgharheidari.com/AO.html | 66 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/lfme | LFME | Learning From Multiple Experts | **Learning From Multiple Experts** is a self-paced knowledge distillation framework that aggregates the knowledge from multiple 'Experts' to learn a unified student model. Specifically, the proposed framework involves two levels of adaptive learning schedules: Self-paced Expert Selection and Curriculum Instance Selecti... | {
"title": "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification",
"url": "https://paperswithcode.com/paper/learning-from-multiple-experts-self-paced"
} | 2,000 | https://arxiv.org/abs/2001.01536v3 | Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Knowledge Distillation"
}
] |
https://paperswithcode.com/method/elastic-dense-block | Elastic Dense Block | Elastic Dense Block | **Elastic Dense Block** is a skip connection block that modifies the [Dense Block](https://paperswithcode.com/method/dense-block) with downsamplings and upsamplings in parallel branches at each layer to let the network learn from a data scaling policy in which inputs are processed at different resolutions in each layer... | {
"title": "ELASTIC: Improving CNNs with Dynamic Scaling Policies",
"url": "https://paperswithcode.com/paper/elastic-improving-cnns-with-instance-specific"
} | 2,000 | http://arxiv.org/abs/1812.05262v2 | ELASTIC: Improving CNNs with Dynamic Scaling Policies | https://github.com/allenai/elastic/blob/57345c600c63fbde163c41929d6d6dd894d408ce/models/densenet.py#L9 | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
},
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
}
] |
https://paperswithcode.com/method/how-do-i-contact-philo-tv-customer-service-1 | How do I contact Philo TV customer service? “Quick Contact” | How do I contact Philo TV customer service? “Quick Contact” | You can contact Philo TV customer service by calling 1-855-(771)-9424 (available 24/7), using the live chat feature at philo.com/contact, 1-855-(771)-9424. All methods offer prompt support for billing, technical, or account-related issues. | {
"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-oceania-offer-travel-agent | [[FAQs-Support]] Does Oceania offer travel agent rates? | [[FAQs-Support]] Does Oceania offer travel agent rates? | The general contact number for Oceania Cruises, which can also be used for Travel Advisor Center assistance (dial prompt 6), is +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). This is the toll-free number for general inquiries and reservations. You can also visit the Travel Agent Center on their website at www.OceaniaC... | {
"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/hardtanh-activation | Hardtanh Activation | Hardtanh Activation | **Hardtanh** is an activation function used for neural networks:
$$ f\left(x\right) = -1 \text{ if } x < - 1 $$
$$ f\left(x\right) = x \text{ if } -1 \leq x \leq 1 $$
$$ f\left(x\right) = 1 \text{ if } x > 1 $$
It is a cheaper and more computationally efficient version of the [tanh activation](https://paperswit... | null | 2,000 | null | null | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/faqs-ge-how-to-get-delta-senior-discount | [[FAQs-Ge]] How to get Delta Senior discount? | [[FAQs-e]] How to get Delta Senior discount? | To get a senior discount on Delta Airlines call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅, passengers aged 65 and older should contact Delta reservations directly at call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. These discounts are generally not available online. | {
"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/simvlm | SimVLM | Simple Visual Language Model | SimVLM is a minimalist pretraining framework to reduce training complexity by exploiting large-scale weak supervision. It is trained end-to-end with a single prefix language modeling (PrefixLM) objective. PrefixLM enables bidirectional attention within the prefix sequence, and thus it is applicable for both decoder-onl... | {
"title": "SimVLM: Simple Visual Language Model Pretraining with Weak Supervision",
"url": "https://paperswithcode.com/paper/simvlm-simple-visual-language-model"
} | 2,000 | https://arxiv.org/abs/2108.10904v3 | SimVLM: Simple Visual Language Model Pretraining with Weak Supervision | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] | |
https://paperswithcode.com/method/way-to-connec-how-do-i-connect-with-someone | 【Way_To_Connec】 How do I connect with someone on Qatar Airways? | 【Way_To_Connec】 How do I connect with someone on Qatar Airways? | To connect with someone at Qatar Airways Call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅, the most direct method is to call their customer service line. You can also find additional contact methods on the Qatar Airways website, including live chat and social media support. For urgent issues Call ☎️+1-801-(855)-(5905)or +... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/wide-deep | Wide&Deep | Wide&Deep | **Wide&Deep** jointly trains wide linear models and deep neural networks to combine the benefits of memorization and generalization for real-world recommender systems. In summary, the wide component is a generalized linear model. The deep component is a feed-forward neural network. The deep and wide components are comb... | {
"title": "Wide & Deep Learning for Recommender Systems",
"url": "https://paperswithcode.com/paper/wide-deep-learning-for-recommender-systems"
} | 2,000 | http://arxiv.org/abs/1606.07792v1 | Wide & Deep Learning for Recommender Systems | 7 | [
{
"area": "General",
"area_id": "general",
"collection": "Deep Tabular Learning"
}
] | |
https://paperswithcode.com/method/glide | GLIDE | Guided Language to Image Diffusion for Generation and Editing | GLIDE is a generative model based on text-guided diffusion models for more photorealistic image generation. Guided diffusion is applied to text-conditional image synthesis and the model is able to handle free-form prompts. The diffusion model uses a text encoder to condition on natural language descriptions. The model ... | {
"title": "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models",
"url": "https://paperswithcode.com/paper/glide-towards-photorealistic-image-generation"
} | 2,000 | https://arxiv.org/abs/2112.10741v3 | GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | 28 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Generation Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Modal Methods"
}
] | |
https://paperswithcode.com/method/hs-resnet | HS-ResNet | HS-ResNet | **HS-ResNet** is a [convolutional neural network](https://paperswithcode.com/methods/category/convolutional-neural-networks) that employs [Hierarchical-Split Block](https://paperswithcode.com/method/hierarchical-split-block) as its central building block within a [ResNet](https://paperswithcode.com/method/resnet)-like ... | {
"title": "HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network",
"url": "https://paperswithcode.com/paper/hs-resnet-hierarchical-split-block-on"
} | 2,000 | https://arxiv.org/abs/2010.07621v1 | HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] | |
https://paperswithcode.com/method/spatial-feature-transform | Spatial Feature Transform | Spatial Feature Transform | **Spatial Feature Transform**, or **SFT**, is a layer that generates affine transformation parameters for spatial-wise feature modulation, and was originally proposed within the context of image super-resolution. A Spatial Feature Transform (SFT) layer learns a mapping function $\mathcal{M}$ that outputs a modulation p... | {
"title": "Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform",
"url": "https://paperswithcode.com/paper/recovering-realistic-texture-in-image-super"
} | 2,000 | http://arxiv.org/abs/1804.02815v1 | Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform | 20 | 8 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/instance-level-meta-normalization | Instance-Level Meta Normalization | Instance-Level Meta Normalization | **Instance-Level Meta Normalization** is a normalization method that addresses a learning-to-normalize problem. ILM-Norm learns to predict the normalization parameters via both the feature feed-forward and the gradient back-propagation paths. It uses an auto-encoder to predict the weights $\omega$ and bias $\beta$ as t... | {
"title": "Instance-Level Meta Normalization",
"url": "https://paperswithcode.com/paper/instance-level-meta-normalization"
} | 2,000 | http://arxiv.org/abs/1904.03516v1 | Instance-Level Meta Normalization | https://github.com/Gasoonjia/ILM-Norm/blob/efb189fadc045d5f80ef50192634d78a3443846b/lib/nn/ilm_ln.py#L6 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Normalization"
}
] |
https://paperswithcode.com/method/autotinybert | AutoTinyBERT | AutoTinyBERT | **AutoTinyBERT** is a an efficient [BERT](https://paperswithcode.com/method/bert) variant found through neural architecture search. Specifically, one-shot learning is used to obtain a big Super Pretrained Language Model (SuperPLM), where the objectives of pre-training or task-agnostic BERT distillation are used. Then,... | {
"title": "AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models",
"url": "https://paperswithcode.com/paper/autotinybert-automatic-hyper-parameter"
} | 2,000 | https://arxiv.org/abs/2107.13686v1 | AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models | 2 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Autoencoding Transformers"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/ga-pid-nn-pid | GA-PID/NN-PID | GA-PID/NN-PID | The main control tasks in autonomous vehicles are steering (lateral) and speed (longitudinal) control. PID controllers are widely used in the industry because of their simplicity and good performance, but they are difficult to tune and need additional adaptation to control nonlinear systems with varying parameters. In ... | null | 2,000 | null | null | https://github.com/yassinekebbati/Self-adaptive-PID/tree/main | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Control and Decision Systems"
}
] |
https://paperswithcode.com/method/way-to-get-in-touch-how-can-i-get-in-touch | 【Way_To_Get_in_Touch】 How can I get in touch with American Fast? | 【Way_To_Get_in_Touch】 How can I get in touch with American Fast? | "To get in touch with American Airlines quickly 1 (804) 853-9001, especially if you need to speak with a representative, the most effective methods are calling their customer service hotline or using the live chat feature
.
Here's how to maximize your chances of a fast response:
1. Call during off-peak hours
... | {
"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/does-air-france-have-whatsapp-air-france | Does Air France have WhatsApp?{Air France Whatsapp} | Does Air France have WhatsApp?{Air France Whatsapp} | Yes, Air France offers customer support via WhatsApp for convenient communication 1-833-705-0001(US)/+44 (20) 39003980(UK). You can contact them by adding the number 1-833-705-0001(US)/+44 (20) 39003980(UK) to your WhatsApp and starting a chat. The service is available 24/7 and supports multiple languages, making it id... | {
"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/compact-global-descriptor | Compact Global Descriptor | Compact Global Descriptor | A **Compact Global Descriptor** is an image model block for modelling interactions between positions across different dimensions (e.g., channels, frames). This descriptor enables subsequent convolutions to access the informative global features. It is a form of attention. | {
"title": "Compact Global Descriptor for Neural Networks",
"url": "https://paperswithcode.com/paper/compact-global-descriptor-for-neural-networks"
} | 2,000 | https://arxiv.org/abs/1907.09665v10 | Compact Global Descriptor for Neural Networks | https://github.com/HolmesShuan/Compact-Global-Descriptor/blob/bb22bca13bd37132abc2db5086868cf65238a99e/classification/models/imagenet/attention_best.py#L9 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/cv-mim | CV-MIM | Contrastive Cross-View Mutual Information Maximization | **CV-MIM**, or **Contrastive Cross-View Mutual Information Maximization**, is a representation learning method to disentangle pose-dependent as well as view-dependent factors from 2D human poses. The method trains a network using cross-view mutual information maximization, which maximizes mutual information of the same... | {
"title": "Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization",
"url": "https://paperswithcode.com/paper/learning-view-disentangled-human-pose"
} | 2,000 | https://arxiv.org/abs/2012.01405v2 | Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Representation Learning"
}
] |
https://paperswithcode.com/method/what-is-a-non-refundable-deposit-on-celebrity-1 | What is a non-refundable deposit on Celebrity?{[FAQs~SUpPOrt24/7@!!]} | What is a non-refundable deposit on Celebrity?{[FAQs~SUpPOrt24/7@!!]} | Days Prior to Cruise Departure and cancellation Charges 1-855-732-4023 USA or +44-289-708-0062 UK: 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 UK. 150-71 days: loss of deposit. 70-46 days: 25% of fare*
To cancel ... | {
"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/37-ways-to-call-can-i-speak-to-someone-about | 37 Ways to Call Can i speak to someone about Seabourn Cruises drink packages: A Full Support Guide | 37 Ways to Call Can i speak to someone about Seabourn Cruises drink packages: A Full Support Guide | Seabourn's customer service hours vary depending on the type of assistance you need and who you booked your cruise with +1-855-732-4023 USA or +44-289-708-0062 UK. Here's a breakdown:
Seabourn International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise expe... | {
"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-ask-a-question-at-expedia-r-usa | How do I ask a question at Expedia?®️ USA Contact Numbers | How do I ask a question at Expedia?®️ USA Contact Numbers | How do I ask a question at Expedia?®️ USA Contact Numbers
To ask a question at Expedia, you can visit their Help Center on their website or app, call them at Expedia +1-888-829-0881, use the live chat feature, or reach out via social media.
Planning a trip can sometimes come with questions, and when you've book... | {
"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/maxout | Maxout | Maxout | The **Maxout Unit** is a generalization of the [ReLU](https://paperswithcode.com/method/relu) and the [leaky ReLU](https://paperswithcode.com/method/leaky-relu) functions. It is a piecewise linear function that returns the maximum of the inputs, designed to be used in conjunction with [dropout](https://paperswithcode.c... | {
"title": "Maxout Networks",
"url": "https://paperswithcode.com/paper/maxout-networks"
} | 2,000 | http://arxiv.org/abs/1302.4389v4 | Maxout Networks | https://gist.github.com/daskol/05439f018465c8fb42ae547b8cc8a77b | 50 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/cspresnext-block | CSPResNeXt Block | CSPResNeXt Block | **CSPResNeXt Block** is an extended [ResNext Block](https://paperswithcode.com/method/resnext-block) where we partition the feature map of the base layer into two parts and then merge them through a cross-stage hierarchy. The use of a split and merge strategy allows for more gradient flow through the network. | {
"title": "CSPNet: A New Backbone that can Enhance Learning Capability of CNN",
"url": "https://paperswithcode.com/paper/cspnet-a-new-backbone-that-can-enhance"
} | 2,000 | https://arxiv.org/abs/1911.11929v1 | CSPNet: A New Backbone that can Enhance Learning Capability of CNN | https://github.com/Tianxiaomo/pytorch-YOLOv4/blob/99045748bd6fdbb55c7dac48ef82941c641e65c6/models.py#L66 | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
},
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
}
] |
https://paperswithcode.com/method/espnet | ESPNet | ESPNet | **ESPNet** is a convolutional neural network for semantic segmentation of high resolution images under resource constraints. ESPNet is based on a convolutional module, efficient spatial pyramid ([ESP](https://paperswithcode.com/method/esp)), which is efficient in terms of computation, memory, and power. | {
"title": "ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation",
"url": "https://paperswithcode.com/paper/espnet-efficient-spatial-pyramid-of-dilated"
} | 2,000 | http://arxiv.org/abs/1803.06815v3 | ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation | https://github.com/sacmehta/ESPNet/blob/afe71c38edaee3514ca44e0adcafdf36109bf437/train/Model.py#L310 | 23 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Light-weight neural networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
}
] |
https://paperswithcode.com/method/proxylessnas | ProxylessNAS | ProxylessNAS | **ProxylessNAS** directly learns neural network architectures on the target task and target hardware without any proxy task. Additional contributions include:
- Using a new path-level pruning perspective for [neural architecture search](https://paperswithcode.com/method/neural-architecture-search), showing a close c... | {
"title": "ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware",
"url": "https://paperswithcode.com/paper/proxylessnas-direct-neural-architecture"
} | 2,000 | http://arxiv.org/abs/1812.00332v2 | ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware | https://github.com/mit-han-lab/proxylessnas/tree/master/search | 17 | [
{
"area": "General",
"area_id": "general",
"collection": "Neural Architecture Search"
}
] |
https://paperswithcode.com/method/multi-head-linear-attention | Multi-Head Linear Attention | Multi-Head Linear Attention | **Multi-Head Linear Attention** is a type of linear multi-head self-attention module, proposed with the [Linformer](https://paperswithcode.com/method/linformer) architecture. The main idea is to add two linear projection matrices $E\_{i}, F\_{i} \in \mathbb{R}^{n\times{k}}$ when computing key and value. We first projec... | {
"title": "Linformer: Self-Attention with Linear Complexity",
"url": "https://paperswithcode.com/paper/linformer-self-attention-with-linear"
} | 2,000 | https://arxiv.org/abs/2006.04768v3 | Linformer: Self-Attention with Linear Complexity | https://github.com/tatp22/linformer-pytorch/blob/3f71fe757ea8c19135880414e707701b24de27f1/linformer_pytorch/linformer_pytorch.py#L173 | 24 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] |
https://paperswithcode.com/method/chexnet | CheXNet | CheXNet | **CheXNet** is a 121-layer [DenseNet](https://paperswithcode.com/method/densenet) trained on ChestX-ray14 for pneumonia detection. | {
"title": "CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning",
"url": "https://paperswithcode.com/paper/chexnet-radiologist-level-pneumonia-detection"
} | 2,000 | http://arxiv.org/abs/1711.05225v3 | CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning | https://github.com/arnoweng/CheXNet/blob/3d45ee77e2cfe6ec81bf1b87e2ed4e3fc10af6c1/model.py#L34 | 18 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/spatial-reduction-attention | Spatial-Reduction Attention | Spatial-Reduction Attention | **Spatial-Reduction Attention**, or **SRA**, is a [multi-head attention](https://paperswithcode.com/method/multi-head-attention) module used in the [Pyramid Vision Transformer](https://paperswithcode.com/method/pvt) architecture which reduces the spatial scale of the key $K$ and value $V$ before the attention operation... | {
"title": "Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions",
"url": "https://paperswithcode.com/paper/pyramid-vision-transformer-a-versatile"
} | 2,000 | https://arxiv.org/abs/2102.12122v2 | Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions | 29 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] | |
https://paperswithcode.com/method/handwritten-ocr | Handwritten OCR | Handwritten OCR augmentation | We are introducing a universal handwritten image augmentation method that is language-agnostic. This groundbreaking technique can be applied to handwritten images in any language worldwide, marking it as the first of its kind. There are four methods for handwritten images which are ThickOCR, ThinOCR, Elongate OCR, Line... | {
"title": "Handwritten image augmentation",
"url": "https://paperswithcode.com/paper/handwritten-image-augmentation"
} | 2,000 | https://arxiv.org/abs/2308.13791v1 | Handwritten image augmentation | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/canonical-partition | Canonical Partition | Canonical Partition | \emph{Canonical partition} $\mathcal{P}$ crops the index-restricted d-hop neighborhood around the center node from the target graph. $\mathcal{D}(G_t,v_i,v_c)$ means the shortest distance between $v_i$ and $v_c$ on $G_t$.
\begin{equation}
\mathcal{P}(G_t, v_c, d) = G_c, \operatorname{ s.t. } G_c \subseteq G_... | {
"title": "DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting",
"url": "https://paperswithcode.com/paper/desco-towards-generalizable-and-scalable-deep"
} | 2,000 | https://arxiv.org/abs/2308.08198v2 | DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting | 1 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Data Augmentation"
}
] | |
https://paperswithcode.com/method/kova | KOVA | Kalman Optimization for Value Approximation | **Kalman Optimization for Value Approximation**, or **KOVA** is a general framework for addressing uncertainties while approximating value-based functions in deep RL domains. KOVA minimizes a regularized objective function that concerns both parameter and noisy return uncertainties. It is feasible when using non-linear... | {
"title": "Kalman meets Bellman: Improving Policy Evaluation through Value Tracking",
"url": "https://paperswithcode.com/paper/kalman-meets-bellman-improving-policy"
} | 2,000 | https://arxiv.org/abs/2002.07171v1 | Kalman meets Bellman: Improving Policy Evaluation through Value Tracking | null | 1 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Evaluation"
}
] |
https://paperswithcode.com/method/faqs-help-how-do-i-link-my-celebrity-cruise | {{FAQs=HelP}}How do I link my celebrity cruise reservations? | {{FAQs=HelP}}How do I link my celebrity cruise reservations? | celebrity cruise reservations number
To make a reservation with Celebrity Cruises, you can use one of the following phone numbers or options:
To reserve a new Celebrity Cruise vacation or for questions about an existing reservation: Call Celebrity Cruises at 1-855-732-4023 or +1-808-900-8011.
For group booking... | {
"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/sniper | SNIPER | SNIPER | **SNIPER** is a multi-scale training approach for instance-level recognition tasks like object detection and instance-level segmentation. Instead of processing all pixels in an image pyramid, SNIPER selectively processes context regions around the ground-truth objects (a.k.a chips). This can help to speed up multi-scal... | {
"title": "SNIPER: Efficient Multi-Scale Training",
"url": "https://paperswithcode.com/paper/sniper-efficient-multi-scale-training"
} | 2,000 | http://arxiv.org/abs/1805.09300v3 | SNIPER: Efficient Multi-Scale Training | null | 5 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Multi-Scale Training"
}
] |
https://paperswithcode.com/method/publica-urgente-como-hablo-con-una-persona-en | {Pública Urgente}¿Cómo hablo con una persona en American? | {Pública Urgente}¿Cómo hablo con una persona en American? | Para hablar con una persona en american airlines +1-808-(470)-(7107), puedes llamar al número de servicio al cliente en español: +1-808-(470)-(7107).
Para hablar con una persona en American Airlines, puedes llamar al número de servicio al cliente +1-808-(470)-(7107). Este número te conectará con un representante que p... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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