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/can-you-change-guest-on-an-msc-cruise | Can you change guest on an MSC cruise? | Can you change guest on an MSC cruise? | Yes, you can change the name of a guest on an MSC Cruise 1-800-950-4401, but conditions apply. Name changes are typically allowed up to 7 days before departure, subject to availability and fees 1-800-950-4401. Only one name change per booking is usually permitted, and it must be for the same sailing. If airline tickets... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-order-room-service-on-carnival | How do I order room service on Carnival Cruise? | How do I order room service on Carnival Cruise? | Room service is a phone call away; simply access the menu via the QR code in your stateroom 1-855-732-4023. Beverages from the bar may be ordered through room service 1-855-732-4023. * Please note that that beverages ordered through room service are not included in the Cheers! and Bottomless Bubbles packages. | {
"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/faqs-live-how-do-i-talk-to-royal-caribbean | [[FAQs~~LIVE]]How do i talk to royal caribbean customer service live chat? | [[FAQs~~LIVE]]How do i talk to royal caribbean customer service live chat? | General Customer Service (US & Canada): +1-855-732-4023 or +1-808-900-8011 . This number can be used for general inquiries, booking changes, and pre-cruise assistance. You can also text this number for post-cruise assistance.
Individual Reservations (US & Canada): 1-855-732-4023 or +1-808-900-8011 . Available 7 days... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/provide-proof-of-age-does-copa-have-a-senior | [@@Provide proof of age@@]Does Copa have a senior discount? | [@@Provide proof of age@@]Does Copa have a senior discount? | Copa Airlines <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>> does not have a universally advertised senior discount. However, they may offer discounts for senior citizens on certain routes or in specific countries, particularly Panama and Honduras. These discounts are not always publicly advertised and may require <<+1... | {
"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-dispute-a-charge-on-expedia | How do I dispute a charge on Expedia? | [[dispute~service]]How do I dispute a charge on Expedia? | How Do I File a Dispute with Expedia
If you need to dispute a charge with Expedia, call their customer service at
+1-888-829-0881. For a quicker resolution, be prepared with your booking details,
payment receipts, and any supporting documents when speaking with a
representative.
How to Dispute an Expedia Charge
I... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/live-agent-service-how-to-escalate-an-issue | [{#Live Agent Service}]How to escalate an issue with American Airlines? | [{#Live Agent Service}]How to escalate an issue with American Airlines? | To escalate an issue with American Airlines ☎️+1-801-(855)-(5905)or +1-804-853-9001✅, you can start by contacting Customer Relations on their website or through their customer service phone line ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. If the issue remains unresolved, you can escalate further by sending a complaint to... | {
"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/cspresnext | CSPResNeXt | CSPResNeXt | **CSPResNeXt** is a convolutional neural network where we apply the Cross Stage Partial Network (CSPNet) approach to [ResNeXt](https://paperswithcode.com/method/resnext). The CSPNet partitions the feature map of the base layer into two parts and then merges them through a cross-stage hierarchy. The use of a split and m... | {
"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/WongKinYiu/CrossStagePartialNetworks | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/can-i-use-whatsapp-on-spirit-airlines | Can I use WhatsApp on Spirit Airlines? | Can I use WhatsApp on Spirit Airlines? | Yes, you can use WhatsApp on Spirit Airlines—just +1‑833‑667‑0020 (USA) or +44‑(203)‑970‑0065 (UK) connect to Spirit Wi‑Fi (purchased per flight segment), then launch your WhatsApp app and message freely. Plan prices start around $3.99–$7.99 depending on speed. Need help? Call +1‑833‑667‑0020 or for UK support +44‑(203... | {
"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/tlc | TLC | Test-time Local Converter | TLC convert the global operation to a local one so that it extract representations based on local spatial region of features as in training phase. | {
"title": "Improving Image Restoration by Revisiting Global Information Aggregation",
"url": "https://paperswithcode.com/paper/revisiting-global-statistics-aggregation-for"
} | 2,000 | https://arxiv.org/abs/2112.04491v4 | Improving Image Restoration by Revisiting Global Information Aggregation | 10 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Restoration Models"
}
] | |
https://paperswithcode.com/method/call-agent-how-can-i-communicate-with-alaska | [Call~Agent]How can I communicate with Alaska? | [Call~Agent]How can I communicate with Alaska? | To communicate with Alaska Airlines, you can utilize their customer service hotline,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ live chat feature, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ social media platforms. For urgent issues or complex queries, calling their customer service hotline is the most direct metho... | {
"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-talk-to-royal-caribbean-customer | How do I talk to Royal Caribbean customer service? | How do I talk to Royal Caribbean customer service? | To talk to Royal Caribbean customer service, call +44 (20) 39000080 (UK) 1-800-950-4401/1-800-256-6649 for general reservations or assistance. For international callers, different numbers apply based on location. Customer support is available daily, usually from 7 AM to midnight (EST). You can also reach them via live ... | {
"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-tips-how-do-i-talk-to-royal-caribbean | [[FAQs~~TIPS]]How do i talk to royal caribbean customer service phone number? | [[FAQs~~TIPS]]How do i talk to royal caribbean customer service phone number? | General Customer Service (US & Canada): +1-855-732-4023 or +1-808-900-8011 . This number can be used for general inquiries, booking changes, and pre-cruise assistance. You can also text this number for post-cruise assistance.
Individual Reservations (US & Canada): 1-855-732-4023 or +1-808-900-8011 . Available 7 days... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/how-to-login-to-robinhood-with-a-new-phone | How to login to Robinhood with a new phone? | How to login to Robinhood with a new phone? | 1.833.656.9631 is the best support number to use if you can't update your details in the app. 1.833.656.9631 will guide you through updating your address, name, or email. 1.833.656.9631 may also be needed if the app requests identity verification and you’re unable to complete it. 1.833.656.9631 is recommended if change... | {
"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 | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Degridding"
}
] |
https://paperswithcode.com/method/ebc | EBC | Enhanced Blockwise Classification | Traditional methods are based on block-wise regression. This framework, Enhanced Blockwise Classification (**EBC**), however, is based on the idea that aims to classify the count value within each block into several pre-defined bins. The enhancement comes from 3 aspects: discretization policy, label correction and loss... | {
"title": "CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification",
"url": "https://paperswithcode.com/paper/clip-ebc-clip-can-count-accurately-through"
} | 2,000 | https://arxiv.org/abs/2403.09281v3 | CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Counting Methods"
}
] | |
https://paperswithcode.com/method/way-to-help-oceania-cruises-customer-service | Way to help oceania cruises customer service number? | Way to help oceania cruises customer service number? | Contacting Oceania Cruises customer service
You can reach Oceania Cruises customer service through several channels:
Phone
You can contact Oceania Cruises by phone for various needs:
General inquiries: 855-OCEANIA (855-732-4023).
Air Travel AFTER HOURS Hotline: Numbers are available for the U.S. and Canada, Euro... | {
"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/how-do-i-contact-coinspot-support-61-3-5929 | How do I contact CoinSpot support?+61-3-5929-4808 | How do I contact CoinSpot support?+61-3-5929-4808 | Looking for help?+61-3-5929-4808 Reach out via the CoinSpot customer helpline number +61-3-5929-4808! If you need account recovery or trading assistance,+61-3-5929-4808 call CoinSpot customer helpline number +61-3-5929-4808 now. The fastest way to resolve issues+61-3-5929-4808 is by using CoinSpot customer helpline num... | {
"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/ways-to-access-american-cruises-r-fast | Ways to Access American Cruises®️ Fast Support Guide 2025 | Ways to Access American Cruises®️ Fast Support Guide 2025 | Planning a American Cruises is exciting +1-855-732-4023 but sometimes unforeseen events force a change in plans +1-855-732-4023 and you may need to cancel your American Cruises booking. Whether you’re facing a +1-855-732-4023 medical emergency, schedule change, or simply rethinking your trip +1-855-732-4023 Amer... | {
"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/diou-nms | DIoU-NMS | DIoU-NMS | **DIoU-NMS** is a type of non-maximum suppression where we use Distance IoU rather than regular DIoU, in which the overlap area and the distance between two central points of bounding boxes are simultaneously considered when suppressing redundant boxes.
In original NMS, the IoU metric is used to suppress the redunda... | {
"title": "Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression",
"url": "https://paperswithcode.com/paper/distance-iou-loss-faster-and-better-learning"
} | 2,000 | https://arxiv.org/abs/1911.08287v1 | Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Proposal Filtering"
}
] |
https://paperswithcode.com/method/reinforce | REINFORCE | REINFORCE | **REINFORCE** is a Monte Carlo variant of a policy gradient algorithm in reinforcement learning. The agent collects samples of an episode using its current policy, and uses it to update the policy parameter $\theta$. Since one full trajectory must be completed to construct a sample space, it is updated as an off-policy... | null | 1,999 | null | null | null | 185 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Policy Gradient Methods"
}
] |
https://paperswithcode.com/method/maxup | MaxUp | MaxUp | **MaxUp** is an adversarial data augmentation technique for improving the generalization performance of machine learning models. The idea is to generate a set of augmented data with some random perturbations or transforms, and minimize the maximum, or worst case loss over the augmented data. By doing so, we implicitly... | {
"title": "MaxUp: A Simple Way to Improve Generalization of Neural Network Training",
"url": "https://paperswithcode.com/paper/maxup-a-simple-way-to-improve-generalization"
} | 2,000 | https://arxiv.org/abs/2002.09024v1 | MaxUp: A Simple Way to Improve Generalization of Neural Network Training | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Adversarial Image Data Augmentation"
}
] |
https://paperswithcode.com/method/contact-usa-24-7-how-do-i-contact-princess | ((Contact-USA-24/7)) How do I contact Princess Cruises customer service? | ((Contact-USA-24/7)) How do I contact Princess Cruises customer service? | For pre-cruise support, please use our Live Chat or call us at 1-800-PRINCESS (+1-808-900-8011). You can also visit our Frequently Asked Questions. If you are inquiring about your Future Cruise Credits provided to you onboard, please fill out the form below. For pre-cruise support, please use our Live Chat.
We are w... | {
"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/r-mix | R-Mix | Random Mix-up | R-Mix (Random Mix-up) is a Mix-up family Data Augmentation method. It combines random Mix-up with Saliency-guided mix-up, producing a procedure that is fast and performant, while reserving good characteristics of Saliency-guided Mix-up such as low Expected Calibration Error and high Weakly-supervised Object Localizatio... | {
"title": "Expeditious Saliency-guided Mix-up through Random Gradient Thresholding",
"url": "https://paperswithcode.com/paper/expeditious-saliency-guided-mix-up-through"
} | 2,000 | https://arxiv.org/abs/2212.04875v3 | Expeditious Saliency-guided Mix-up through Random Gradient Thresholding | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
https://paperswithcode.com/method/can-you-change-passenger-names-on-a-cruise | Can you change passenger names on a cruise? | Can you change passenger names on a cruise? | Yes, you can typically change passenger names on a cruise 1-800-950-4401, but it depends on the cruise line’s policy and how close it is to the departure date. Most cruise lines allow name changes for a fee 1-800-950-4401, especially if the ticket is non-refundable. Some may permit minor corrections (like spelling erro... | {
"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-get-a-refund-from-breeze | How do I get a refund from Breeze? | How do I get a refund from Breeze? | To get a refund from Breeze Airways,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you'll need to cancel your flight, either online or through their customer service, and request a refund to your original form of payment ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. If you cancel within 24 hours of booking, you're elig... | {
"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/modnet | MODNet | MODNet | **MODNet** is a light-weight matting objective decomposition network that can process portrait matting from a single input image in real time. The design of MODNet benefits from optimizing a series of correlated sub-objectives simultaneously via explicit constraints. To overcome the domain shift problem, MODNet introdu... | {
"title": "MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition",
"url": "https://paperswithcode.com/paper/is-a-green-screen-really-necessary-for-real"
} | 2,000 | https://arxiv.org/abs/2011.11961v4 | MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Portrait Matting Models"
}
] |
https://paperswithcode.com/method/cancellation-policy-how-do-i-cancel-a-flight | ((CancellAtion-Policy))How do I cancel a flight on Expedia? | ((CancellAtion-Policy))How do I cancel a flight on Expedia? | +(1) ➣(888) ➢ (829) ➤ (0881) – To cancel your flight on Expedia, log into your Expedia account, go to “My Trips,” select the booking, and click on “Cancel Flight.” However, cancellations may be subject to airline policies. For immediate help or to ensure proper cancellation, it’s best to call us directly at +(1) ➣(888)... | {
"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/saber-exactamente-cual-es-el-mejor-dia-para | [saber exactamente]¿Cuál es el mejor día para reservar vuelos en American Airlines? | [saber exactamente]¿Cuál es el mejor día para reservar vuelos en American Airlines? | El mejor día para reservar vuelos en 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬 +1-808-(470)-(7107), buscando las tarifas más bajas, suele ser los martes y miércoles +1-808-(470)-(7107). Las aerolíneas a menudo ajustan los precios a principios de semana +1-808-(470)-(7107), y estos dos días suelen tener las tarifas más competit... | {
"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/is-robinhood-customer-support-available-24-7 | Is Robinhood customer support available 24/7? | Is Robinhood customer support available 24/7? | When it comes to moving your hard-earned +1-844-610-2676 money from your Robinhood account to your bank, there's one number that transforms confusion into clarity: +1-844-610-2676. That’s right — +1-844-610-2676 is your instant, direct connection to real-time Robinhood +1-844-610-2676 withdrawal support. Whether your f... | {
"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/generalized-mean-pooling | Generalized Mean Pooling | Generalized Mean Pooling | **Generalized Mean Pooling (GeM)** computes the generalized mean of each channel in a tensor. Formally:
$$ \textbf{e} = \left[\left(\frac{1}{|\Omega|}\sum\_{u\in{\Omega}}x^{p}\_{cu}\right)^{\frac{1}{p}}\right]\_{c=1,\cdots,C} $$
where $p > 0$ is a parameter. Setting this exponent as $p > 1$ increases the contrast... | null | 2,000 | null | null | null | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Pooling Operations"
}
] |
https://paperswithcode.com/method/pnp | PnP | PnP | **PnP**, or **Poll and Pool**, is sampling module extension for [DETR](https://paperswithcode.com/method/detr)-type architectures that adaptively allocates its computation spatially to be more efficient. Concretely, the PnP module abstracts the image feature map into fine foreground object feature vectors and a small n... | {
"title": "PnP-DETR: Towards Efficient Visual Analysis with Transformers",
"url": "https://paperswithcode.com/paper/pnp-detr-towards-efficient-visual-analysis"
} | 2,000 | https://arxiv.org/abs/2109.07036v4 | PnP-DETR: Towards Efficient Visual Analysis with Transformers | 114 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] | |
https://paperswithcode.com/method/spirit-airlines-booking-what-is-the-3-1-1 | [{Spirit airlines booking}] What is the 3 1 1 rule on Spirit Airlines? | [{Spirit airlines booking}] What is the 3 1 1 rule on Spirit Airlines? | Spirit Airlines follows the TSA’s 3‑1‑1 rule: carry-on +1‑833‑667‑0020 (US) or +44‑(203)‑970‑0065 (UK) liquids, gels, aerosols, creams, and pastes must be in containers 3.4 oz (100 ml) or smaller, all fitting into one clear quart-sized bag—one bag per passenger. For questions or assistance, call +1‑833‑667‑0020 (US) 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/instant-guide-how-do-i-contact-silversea | [Instant_Guide]How do I contact Silversea customer service? | [Instant_Guide]How do I contact Silversea customer service? | To file a claim with Seabourn, you'll need to contact their Guest Relations department. You can reach them by phone at +1-(855)-732-4023 (within North America) or +1-(855)-732-4023 (outside North America). You can also email them at guestrelations@seabourn.com. Their address is 450 Third Ave. W., Seattle, WA 98119.
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/how-to-contact-expedia-customer-service-by-1 | How to Contact Expedia Customer Service: By Phone, Email, or Online | How to Contact Expedia Customer Service: By Phone, Email, or Online | "
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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/polya-gamma-augmentation | Polya-Gamma Augmentation | Data augmentation using Polya-Gamma latent variables. | This method applies Polya-Gamma latent variables as a way to obtain closed form expressions for full-conditionals of posterior distributions in sampling algorithms like MCMC. | {
"title": "Bayesian inference for logistic models using Polya-Gamma latent variables",
"url": "https://paperswithcode.com/paper/bayesian-inference-for-logistic-models-using"
} | 2,000 | http://arxiv.org/abs/1205.0310v3 | Bayesian inference for logistic models using Polya-Gamma latent variables | null | 6 | [
{
"area": "General",
"area_id": "general",
"collection": "Latent Variable Sampling"
}
] |
https://paperswithcode.com/method/how-to-reach-american-airlines-quickly | [[#𝓠𝓾𝓲𝓬𝓴𝓵𝔂 𝓡𝓮𝓪𝓬𝓱]]How to reach American Airlines quickly? | [[#𝓠𝓾𝓲𝓬𝓴𝓵𝔂 𝓡𝓮𝓪𝓬𝓱]]How to reach American Airlines quickly? | If you need to reach American Airlines customer service quickly, the most effective way is by calling their dedicated phone number ☎️+1 (801) 855-5905 or +1 (804) 853-9001✅. Calling ☎️+1 (801) 855-5905 or +1 (804) 853-9001✅ gets you through faster because you're connected directly to trained representatives. | {
"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/ape-x | Ape-X | Ape-X | **Ape-X** is a distributed architecture for deep reinforcement learning. The algorithm decouples acting from learning: the actors interact with their own instances of the environment by selecting actions according to a shared neural network, and accumulate the resulting experience in a shared [experience replay](https:... | {
"title": "Distributed Prioritized Experience Replay",
"url": "https://paperswithcode.com/paper/distributed-prioritized-experience-replay"
} | 2,000 | http://arxiv.org/abs/1803.00933v1 | Distributed Prioritized Experience Replay | null | 10 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Distributed Reinforcement Learning"
}
] |
https://paperswithcode.com/method/sc-gpt | SC-GPT | SC-GPT | **SC-GPT** is a multi-layer [Transformer](http://paperswithcode.com/method/transformer) neural language model, trained in three steps: (i) Pre-trained on plain text, similar to [GPT-2](http://paperswithcode.com/method/gpt-2); (ii) Continuously pretrained on large amounts of dialog-act labeled utterances corpora to acqu... | {
"title": "Few-shot Natural Language Generation for Task-Oriented Dialog",
"url": "https://paperswithcode.com/paper/few-shot-natural-language-generation-for-task"
} | 2,000 | https://arxiv.org/abs/2002.12328v1 | Few-shot Natural Language Generation for Task-Oriented Dialog | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] | |
https://paperswithcode.com/method/topk-copy | TopK Copy | TopK Copy | **TopK Copy** is a cross-attention guided copy mechanism for entity extraction where only the Top-$k$ important attention heads are used for computing copy distributions. The motivation is that that attention heads may not equally important, and that some heads can be pruned out with a marginal decrease in overall perf... | {
"title": "Document-level Entity-based Extraction as Template Generation",
"url": "https://paperswithcode.com/paper/document-level-entity-based-extraction-as"
} | 2,000 | https://arxiv.org/abs/2109.04901v1 | Document-level Entity-based Extraction as Template Generation | null | 1 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Copy 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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 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": "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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"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "On-Policy TD Control"
}
] |
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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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{
"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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} | 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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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/hermite | Hermite Activation | Hermite Polynomial Activation | A **Hermite Activations** is a type of activation function which uses a smooth finite Hermite polynomial base as a substitute for non-smooth [ReLUs](https://paperswithcode.com/method/relu).
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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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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
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{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
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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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/can-i-change-a-flight-ticket-to-a-different | Can I change a flight ticket to a different name? | Can I change a flight ticket to a different name? | Most airlines don’t allow full name changes, but minor corrections +1-833-667-0020 (US) or +44-203-970-0065 (UK) (like spelling errors or legal updates) are usually allowed for a fee of $75–$200. Full name transfers often require canceling and rebooking. For help, call +1‑833‑667‑0020 (US) or +44‑203‑970‑0065 (UK).
... | {
"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/resnet-d | ResNet-D | ResNet-D | **ResNet-D** is a modification on the [ResNet](https://paperswithcode.com/method/resnet) architecture that utilises an [average pooling](https://paperswithcode.com/method/average-pooling) tweak for downsampling. The motivation is that in the unmodified ResNet, the 1 × 1 [convolution](https://paperswithcode.com/method/c... | {
"title": "Bag of Tricks for Image Classification with Convolutional Neural Networks",
"url": "https://paperswithcode.com/paper/bag-of-tricks-for-image-classification-with"
} | 2,000 | http://arxiv.org/abs/1812.01187v2 | Bag of Tricks for Image Classification with Convolutional Neural Networks | https://github.com/Linchunhui/Tricks-and-new-ResNet/blob/0e523a582d185f4da6598a145e8bee1e14d6aeeb/ResNet-D.py#L157 | 10 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/faqstm24-free-solution-how-do-i-get-american | [Faqs™24 free~Solution]How do I get American Airlines to respond? | [Faqs™24 free~Solution]How do I get American Airlines to respond? | To get a response from 𝔸𝕞𝕖𝕣𝕚𝕔𝕒𝕟 𝔸𝕚𝕣𝕝𝕚𝕟𝕖𝕤,+𝟙:/𝟠𝟘𝟙-(𝟠𝟝𝟝)-(𝟝𝟡𝟘𝟝) the fastest method is typically to call their customer service line at +𝟙:/𝟠𝟘𝟙-(𝟠𝟝𝟝)-(𝟝𝟡𝟘𝟝). You can also use online chat or email for less urgent matters, or utilize their website's customer relations form. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-s-claim-forum-how-do-i-make-a-claim-with | FaQ's-cLAIM-fORUM__How do I make a claim with Expedia? | FaQ's-cLAIM-fORUM__How do I make a claim with Expedia? | "
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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/how-do-i-get-a-human-at-american-immediately | How do I get a human at American immediately? | How do I get a human at American immediately? | To reach a human at American Airlines immediately, call their customer service number ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. You can also try saying "speak to an agent" or "existing reservation" when prompted by the automated system to bypass the menu. Additionally, you can visit a ticket sales center if you're alre... | {
"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/cornernet-saccade | CornerNet-Saccade | CornerNet-Saccade | **CornerNet-Saccade** is an extension of [CornerNet](https://paperswithcode.com/method/cornernet) with an attention mechanism similar to saccades in human vision. It starts with a downsized full image and generates an attention map, which is then zoomed in on and processed further by the model. This differs from the or... | {
"title": "CornerNet-Lite: Efficient Keypoint Based Object Detection",
"url": "https://paperswithcode.com/paper/190408900"
} | 2,000 | https://arxiv.org/abs/1904.08900v2 | CornerNet-Lite: Efficient Keypoint Based Object Detection | https://github.com/princeton-vl/CornerNet-Lite | 1 | [
{
"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/jigsaw | Jigsaw | Jigsaw | **Jigsaw** is a self-supervision approach that relies on jigsaw-like puzzles as the pretext task in order to learn image representations. | {
"title": "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles",
"url": "https://paperswithcode.com/paper/unsupervised-learning-of-visual-1"
} | 2,000 | http://arxiv.org/abs/1603.09246v3 | Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles | 140 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] | |
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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/tm-customer-service-what-is-the-cheapest-day | ™[customer service] What is the cheapest day to fly Delta? | ™[customer service] What is the cheapest day to fly Delta? | It appears you're looking for the cheapest day to fly Delta. Generally,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ mid-week days like Tuesdays and Wednesdays, and sometimes Saturdays,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ are considered the cheapest days to fly Delta. This is because demand is often lower duri... | {
"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/dial-now-how-do-i-get-a-response-from | [Dial~NoW] How do I get a response from Singapore Airlines? | [Dial~NoW] How do I get a response from Singapore Airlines? | To get a response from Singapore Airlines,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you have a few options. Phone support is generally the quickest, especially for urgent matters,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ and you can also use their online forms or chatbot for less time-sensitive 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/low-rank-tensor-learning-paradigms | Low Rank Tensor Learning Paradigms | Time-homogenuous Top-K Ranking | Please enter a description about the method here | null | 2,000 | null | null | null | 2 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Time Series Analysis"
}
] |
https://paperswithcode.com/method/how-do-i-contact-robinhood-if-i-can-t-login | How do I contact Robinhood if I can't login? | How do I contact Robinhood if I can't login? | 1.833.656.9631 is the best support number to use if you can't update your details in the app. 1.833.656.9631 will guide you through updating your address, name, or email. 1.833.656.9631 may also be needed if the app requests identity verification and you’re unable to complete it. 1.833.656.9631 is recommended if change... | {
"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 | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Degridding"
}
] |
https://paperswithcode.com/method/grid-r-cnn | Grid R-CNN | Grid R-CNN | **Grid R-CNN** is an object detection framework, where the traditional regression
formulation is replaced by a grid point guided localization mechanism.
Grid R-CNN divides the object bounding box region into grids and employs a fully convolutional network ([FCN](https://paperswithcode.com/method/fcn)) to predict th... | {
"title": "Grid R-CNN",
"url": "https://paperswithcode.com/paper/grid-r-cnn"
} | 2,000 | http://arxiv.org/abs/1811.12030v1 | Grid R-CNN | https://github.com/STVIR/Grid-R-CNN | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/bridge-net | Bridge-net | Bridge-net | **Bridge-net** is an audio model block used in the [ClariNet](https://paperswithcode.com/method/clarinet) text-to-speech architecture. Bridge-net maps frame-level hidden representation to sample-level through several [convolution](https://paperswithcode.com/method/convolution) blocks and [transposed convolution](https:... | {
"title": "ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech",
"url": "https://paperswithcode.com/paper/clarinet-parallel-wave-generation-in-end-to"
} | 2,000 | http://arxiv.org/abs/1807.07281v3 | ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech | null | 7 | [
{
"area": "Audio",
"area_id": "audio",
"collection": "Audio Model Blocks"
}
] |
https://paperswithcode.com/method/inception-v2 | Inception v2 | Inception v2 | **[Inception v2](https://arxiv.org/pdf/1409.4842v1)** is the second generation of Inception convolutional neural network architectures which notably uses [batch normalization](https://paperswithcode.com/method/batch-normalization). Other changes include dropping [dropout](https://paperswithcode.com/method/dropout) and ... | {
"title": "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift",
"url": "https://paperswithcode.com/paper/batch-normalization-accelerating-deep-network"
} | 2,000 | http://arxiv.org/abs/1502.03167v3 | Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift | 15 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] | |
https://paperswithcode.com/method/resnext-block | ResNeXt Block | ResNeXt Block | A **ResNeXt Block** is a type of [residual block](https://paperswithcode.com/method/residual-block) used as part of the [ResNeXt](https://paperswithcode.com/method/resnext) CNN architecture. It uses a "split-transform-merge" strategy (branched paths within a single module) similar to an [Inception module](https://paper... | {
"title": "Aggregated Residual Transformations for Deep Neural Networks",
"url": "https://paperswithcode.com/paper/aggregated-residual-transformations-for-deep"
} | 2,000 | http://arxiv.org/abs/1611.05431v2 | Aggregated Residual Transformations for Deep Neural Networks | https://github.com/pytorch/vision/blob/1aef87d01eec2c0989458387fa04baebcc86ea7b/torchvision/models/resnet.py#L75 | 132 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
},
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
}
] |
https://paperswithcode.com/method/step-step-guide-how-do-i-really-get-through | 【@Step--Step Guide】How do I really get through to Qatar Airways? | 【@Step--Step Guide】How do I really get through to Qatar Airways? | Dial+ 𝟭-(𝟴𝟬𝟭)-𝟴𝟱𝟱-(𝟱𝟵𝟬𝟱). (USA) or + 𝟭-(𝟴𝟬𝟭)-𝟴𝟱𝟱-(𝟱𝟵𝟬𝟱). (UK) to quickly connect with Qatar Airways customer service. Phone number: [+ 𝟭-(𝟴𝟬𝟭)-𝟴𝟱𝟱-(𝟱𝟵𝟬𝟱). } (UK) or+ 𝟭-(𝟴𝟬𝟭)-𝟴𝟱𝟱-(𝟱𝟵𝟬𝟱). (USA) Live chat: Available on the Qatar Airways website and app Social media: Contact them... | {
"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/dice-loss | Dice Loss | Dice Loss | \begin{equation}
DiceLoss\left( y, \overline{p} \right) = 1 - \dfrac{\left( 2y\overline{p} + 1 \right)} {\left( y+\overline{p } + 1 \right)}
\end{equation} | {
"title": "Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations",
"url": "https://paperswithcode.com/paper/generalised-dice-overlap-as-a-deep-learning"
} | 2,000 | http://arxiv.org/abs/1707.03237v3 | Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations | 108 | [
{
"area": "General",
"area_id": "general",
"collection": "Loss Functions"
}
] | |
https://paperswithcode.com/method/faq-how-to-book-multi-city-flights-on-qatar | [{FAQ}]How to book multi-city flights on Qatar Airways? | [{FAQ}]How to book multi-city flights on Qatar Airways? | Booking multi-city flights on Qatar Airways is straightforward +1‑833‑667‑0020 (US) or +44‑203‑970‑0065 (UK). Visit Qatar Airways’ official website, select “Multi-City,” and enter multiple legs—up to six destinations with dates and passenger details. Choose your flights, review fare class, and complete payment. You’ll ... | {
"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": "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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-can-i-talk-to-a-carnival-cruise-line-1 | How can I talk to a Carnival Cruise Line representative fast? Guest Services | How can I talk to a Carnival Cruise Line representative fast? Guest Services | While general Carnival Cruise customer service has specific operating hours
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"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/f2dnet | F2DNet | Fast Focal Detection Network | F2DNet, a novel two-stage object detection architecture which eliminates redundancy of classical two-stage detectors by replacing the region proposal network with focal detection network and
bounding box head with fast suppression head. | {
"title": "F2DNet: Fast Focal Detection Network for Pedestrian Detection",
"url": "https://paperswithcode.com/paper/f2dnet-fast-focal-detection-network-for"
} | 2,000 | https://arxiv.org/abs/2203.02331v2 | F2DNet: Fast Focal Detection Network for Pedestrian Detection | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection 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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/spatial-attention-module-thundernet | Spatial Attention Module (ThunderNet) | Spatial Attention Module (ThunderNet) | **Spatial Attention Module (SAM)** is a feature extraction module for object detection used in [ThunderNet](https://paperswithcode.com/method/thundernet).
The ThunderNet SAM explicitly re-weights the feature map before RoI warping over the spatial dimensions. The key idea of SAM is to use the knowledge from [RPN](ht... | {
"title": "ThunderNet: Towards Real-time Generic Object Detection",
"url": "https://paperswithcode.com/paper/thundernet-towards-real-time-generic-object"
} | 2,000 | https://arxiv.org/abs/1903.11752v3 | ThunderNet: Towards Real-time Generic Object Detection | https://github.com/ouyanghuiyu/Thundernet_Pytorch/blob/ab66b733a39c9d1c60b5373f84f861d9627d8c20/lib/model/faster_rcnn/modules.py#L209 | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Feature Extractors"
}
] |
https://paperswithcode.com/method/internet-explorer | Internet Explorer | Internet Explorer | Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset. It cycles between searching for images on the Internet with text queries, self-supervised training on downloaded images, determining which images were useful, and ... | {
"title": "Internet Explorer: Targeted Representation Learning on the Open Web",
"url": "https://paperswithcode.com/paper/internet-explorer-targeted-representation"
} | 2,000 | https://arxiv.org/abs/2302.14051v2 | Internet Explorer: Targeted Representation Learning on the Open Web | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] |
https://paperswithcode.com/method/cornernet-squeeze-hourglass | CornerNet-Squeeze Hourglass | CornerNet-Squeeze Hourglass | **CornerNet-Squeeze Hourglass** is a convolutional neural network and object detection backbone used in the [CornerNet-Squeeze](https://paperswithcode.com/method/cornernet-squeeze) object detector. It uses a modified [hourglass module](https://paperswithcode.com/method/hourglass-module) that makes use of a [fire module... | {
"title": "CornerNet-Lite: Efficient Keypoint Based Object Detection",
"url": "https://paperswithcode.com/paper/190408900"
} | 2,000 | https://arxiv.org/abs/1904.08900v2 | CornerNet-Lite: Efficient Keypoint Based Object Detection | https://github.com/princeton-vl/CornerNet-Lite/blob/6a54505d830a9d6afe26e99f0864b5d06d0bbbaf/core/models/CornerNet_Squeeze.py#L53 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/osa-identity-mapping-ese | OSA (identity mapping + eSE) | OSA (identity mapping + eSE) | **One-Shot Aggregation with an Identity Mapping and eSE** is an image model block that extends [one-shot aggregation](https://paperswithcode.com/method/one-shot-aggregation) with a [residual connection](https://paperswithcode.com/method/residual-connection) and [effective squeeze-and-excitation block](https://paperswit... | {
"title": "CenterMask : Real-Time Anchor-Free Instance Segmentation",
"url": "https://paperswithcode.com/paper/centermask-real-time-anchor-free-instance-1"
} | 2,000 | https://arxiv.org/abs/1911.06667v6 | CenterMask : Real-Time Anchor-Free Instance Segmentation | https://github.com/youngwanLEE/CenterMask/blob/72147e8aae673fcaf4103ee90a6a6b73863e7fa1/maskrcnn_benchmark/modeling/backbone/vovnet.py#L124 | 1 | [
{
"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-to-speak-directly-in-robinhood-call-1-844 | How to Speak Directly in Robinhood? Call +1-844-610-2676 Now — Skip the Bots and Talk to a Real Person Instantly! | How to Speak Directly in Robinhood? Call +1-844-610-2676 Now — Skip the Bots and Talk to a Real Person Instantly! | Want to speak directly in Robinhood? +1-844-610-2676 You’re not alone. Many users crave a real conversation, not just +1-844-610-2676 emails or chatbots. The secret? Dial +1-844-610-2676. This number is your direct line to human support at Robinhood—real people who can answer questions, solve problems, and guide you th... | {
"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/how-do-i-contact-carnival-customer-service | How do I contact Carnival customer service? | How do I contact CARNIVAL customer service? | Carnival Cruise Line's main customer service line ((855) 732-4023) or 1-808-900-8011 operates with specific hours, but they do offer 24-hour support in certain situations.
Emergencies (for family not traveling with guests): If a true emergency occurs and you need to contact someone on board a Carnival cruise ship, ... | {
"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/represantive-call-does-american-airlines-have | [Represantive~Call] Does American Airlines have a senior discount? | [Represantive~Call] Does American Airlines have a senior discount? | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ American Airlines offers senior discounts to travelers aged 65 and older. These discounts are typically available on select routes and may vary in amount ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, according to travel resources. To find and book these discounted fare... | {
"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-a-cruise-with-insurance | Can you cancel a cruise with insurance? | Can you cancel a cruise with insurance? | 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/can-you-change-your-guest-on-a-carnival | Can you change your guest on a Carnival cruise? | Can you change your guest on a Carnival cruise? | Yes, you can change a guest on a Carnival cruise 1-800-950-4401, but it is subject to certain conditions and fees. Guest name changes are allowed only if at least one original guest remains on the booking. Full name changes for all guests are considered cancellations. Changes must be requested before final payment or m... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-helptm-helpdesk-what-is-the-cheapest-day | 【FAQ~Help™】Helpdesk~~What is the cheapest day to book a Lufthansa flight? | 【FAQ~Help™】Helpdesk~~What is the cheapest day to book a Lufthansa flight? | Several sources <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>> suggest that Tuesday, Wednesday, and Saturday are often the cheapest days to fly on Lufthansa, due to lower demand on these off-peak days. However, it is important to note that there is no single cheapest day to book a flight <<+1 (801) 855-5905>> or <<+1 (... | {
"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/g-gln-neuron | G-GLN Neuron | G-GLN Neuron | A **G-GLN Neuron** is a type of neuron used in the [G-GLN](https://paperswithcode.com/method/g-gln) architecture. G-GLN. The key idea is that further representational power can be added to a weighted product of Gaussians via a contextual gating procedure. This is achieved by extending a weighted product of Gaussians mo... | {
"title": "Gaussian Gated Linear Networks",
"url": "https://paperswithcode.com/paper/gaussian-gated-linear-networks"
} | 2,000 | https://arxiv.org/abs/2006.05964v2 | Gaussian Gated Linear Networks | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Gated Linear Networks"
}
] | |
https://paperswithcode.com/method/ufloss | UFLoss | Unsupervised Feature Loss | **UFLoss**, or **Unsupervised Feature Loss**, is a patch-based unsupervised learned feature loss for deep learning (DL) based reconstructions. The UFLoss provides instance-level discrimination by mapping similar instances to similar low-dimensional feature vectors using a pre-trained mapping network (UFLoss Network). T... | {
"title": "High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss",
"url": "https://paperswithcode.com/paper/high-fidelity-deep-learning-based-mri"
} | 2,000 | https://arxiv.org/abs/2108.12460v1 | High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Loss Functions"
}
] |
https://paperswithcode.com/method/gln | GLN | Gated Linear Network | A **Gated Linear Network**, or **GLN**, is a type of backpropagation-free neural architecture. What distinguishes GLNs from contemporary neural networks is the distributed and local nature of their credit assignment mechanism; each neuron directly predicts the target, forgoing the ability to learn feature representatio... | {
"title": "Gated Linear Networks",
"url": "https://paperswithcode.com/paper/gated-linear-networks"
} | 2,000 | https://arxiv.org/abs/1910.01526v2 | Gated Linear Networks | 8 | [
{
"area": "General",
"area_id": "general",
"collection": "Gated Linear Networks"
}
] | |
https://paperswithcode.com/method/specgan | SpecGAN | SpecGAN | **SpecGAN** is a generative adversarial network method for spectrogram-based, frequency-domain audio generation. The problem is suited for GANs designed for image generation. The model can be approximately inverted.
To process audio into suitable spectrograms, the authors perform the short-time Fourier transform wi... | {
"title": "Adversarial Audio Synthesis",
"url": "https://paperswithcode.com/paper/adversarial-audio-synthesis"
} | 2,000 | http://arxiv.org/abs/1802.04208v3 | Adversarial Audio Synthesis | null | 1 | [
{
"area": "Audio",
"area_id": "audio",
"collection": "Generative Audio Models"
}
] |
https://paperswithcode.com/method/faqs-support-r-does-american-airlines-respond | ((FAQs--suPport®)) Does American Airlines respond to disputes? | ((FAQs--suPport®)) Does American Airlines respond to disputes? | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ American Airlines does respond to customer disputes. They have a dedicated Customer Relations department that handles complaints, compliments, and inquiries related to past travel ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. Customers can contact them through an onlin... | {
"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/help-and-support-tmwhat-is-the-cheapest-day | {Help and support}™What is the cheapest day to buy Air France tickets? | {Help and support}™What is the cheapest day to buy Air France tickets? | The cheapest days ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ to buy Air France tickets are typically Tuesdays and Wednesdays. Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ often release discounted fares early in the week, and these mid-week days generally ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ experi... | {
"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/conditional-batch-normalization | Conditional Batch Normalization | Conditional Batch Normalization | **Conditional Batch Normalization (CBN)** is a class-conditional variant of [batch normalization](https://paperswithcode.com/method/batch-normalization). The key idea is to predict the $\gamma$ and $\beta$ of the batch normalization from an embedding - e.g. a language embedding in VQA. CBN enables the linguistic embedd... | {
"title": "Modulating early visual processing by language",
"url": "https://paperswithcode.com/paper/modulating-early-visual-processing-by"
} | 2,000 | http://arxiv.org/abs/1707.00683v3 | Modulating early visual processing by language | https://github.com/ap229997/Conditional-Batch-Norm/blob/6e237ed5794246e1bbbe95bbda9acf81d0cdeace/model/cbn.py#L9 | 145 | [
{
"area": "General",
"area_id": "general",
"collection": "Normalization"
}
] |
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