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/get-us-call-can-you-cancel-alaska-flights | [Get~us~Call]Can you cancel Alaska flights? | [Get~us~Call]Can you cancel Alaska flights? | Yes, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Alaska Airlines flights can be cancelled, and depending on the fare type and timing, you may be eligible for a refund or a credit for future travel ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. For tickets purchased within 24 hours, a full refund is generally availabl... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-lufthansa-airlines-for-an | How Do I Contact Lufthansa Airlines for an Upgrade? | How Do I Contact Lufthansa Airlines for an Upgrade? | Lufthansa processes over 200,000 upgrade requests monthly, and the fastest way to secure yours is by calling their dedicated customer service number. To request or inquire about a seat upgrade, call 📞+1 (877) 443-8285 and speak directly with a Lufthansa agent. The team at 📞+1 (877) 443-8285 can explain your upgrade o... | {
"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/population-based-training | Population Based Training | Population Based Training | **Population Based Training**, or **PBT**, is an optimization method for finding parameters and hyperparameters, and extends upon parallel search methods and sequential optimisation methods.
It leverages information sharing across a population of concurrently running optimisation processes, and allows for online propa... | {
"title": "Population Based Training of Neural Networks",
"url": "https://paperswithcode.com/paper/population-based-training-of-neural-networks"
} | 2,000 | http://arxiv.org/abs/1711.09846v2 | Population Based Training of Neural Networks | https://github.com/elsheikh21/population-based-training-of-NNs/blob/8337041e31e1a1be9b1cc36bdf79fe7921881116/pbt_img_classification/main.py#L163 | 18 | [
{
"area": "General",
"area_id": "general",
"collection": "Hyperparameter Search"
},
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/about-expedia-how-to-file-a-complaint-about | [[About~Expedia]]How to File a Complaint About Expedia? | [[About~Expedia]]How to File a Complaint About Expedia? | To file a complaint, reach Expedia's customer service team at 【+1-805-330-4056(OR)+1 (888) 829-0881】. If the issue is unresolved, you can file a formal complaint through their website or with consumer protection agencies 1^805^330^4056 like the Better Business Bureau (BBB).
How to Speak with a Representative at 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/llamadas-internacionales-como-llamar-a | Llamadas internacionales =¿Cómo llamar a American Airlines en español? | Llamadas internacionales =¿Cómo llamar a American Airlines en español? | Para contactar con American Airlines España, puedes llamar a American Airlines teléfono España +1-(808)-470-7107 (ES) o +1-(808)-470-7107 o +1-(808)-470-7107 (ES) o +1-(808)-470-7107 (ES) España gratuito, para obtener asistencia en español. | {
"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-guide-how-do-i-check-my-celebrity-cruise | [[FAQs=GUide]]How do I check my celebrity cruise reservation? | [[FAQs=GUide]]How do I check my celebrity cruise reservation? | celebrity cruise reservations number
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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/faqs-q-how-to-communicate-with-someone-in | ((FAQs~Q*))How to communicate with someone in Qatar | ((FAQs~Q*))How to communicate with someone in Qatar | To communicate with someone in Qatar,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can use standard phone calls or VoIP services like WhatsApp, Skype, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Zoom. For direct calls,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ dial the country code +974 followed by the recipie... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-refund-policy-in-singapore | What is the refund policy in Singapore? | What is the refund policy in Singapore? | What is the refund policy in Singapore?
In Singapore, retailers are generally 1-833-667-0020 (USA) or +44-203-970-0065 (UK) not legally required to offer refunds for simple changes of mind or personal preferences.
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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-to-get-a-refund-from-viking-cruises-quick | How to get a refund from Viking Cruises? ((Quick contact number)) | How to get a refund from Viking Cruises? ((Quick contact number)) | For Further Assistance. If you have any questions or need further information please contact Reservations at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK) or email customerrelations@vikingcruises.com, Monday – Friday, 6:00 AM – 6:00 PM; Saturday and Sunday, 7:30 AM – 4:00 PM, PT.
The phone number for Viking travel ... | {
"title": "0-1 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/faqs-help-what-is-the-phone-number-for-royal | [FAQs-Help]What is the phone number for Royal Caribbean cancel? | [FAQs-Help]What is the phone number for Royal Caribbean cancel? | To inquire about canceling your Royal Caribbean cruise +1-855-732-4023 USA or +44-289-708-0062 UK, you can reach out to their customer service department through various phone numbers.
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Individual... | {
"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/ghostnet | GhostNet | GhostNet | A **GhostNet** is a type of convolutional neural network that is built using Ghost modules, which aim to generate more features by using fewer parameters (allowing for greater efficiency).
GhostNet mainly consists of a stack of Ghost bottlenecks with the Ghost modules as the building block. The first layer is a sta... | {
"title": "GhostNet: More Features from Cheap Operations",
"url": "https://paperswithcode.com/paper/ghostnet-more-features-from-cheap-operations"
} | 2,000 | https://arxiv.org/abs/1911.11907v2 | GhostNet: More Features from Cheap Operations | https://github.com/osmr/imgclsmob/blob/c03fa67de3c9e454e9b6d35fe9cbb6b15c28fda7/pytorch/pytorchcv/models/ghostnet.py#L207 | 22 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Light-weight neural networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/how-to-get-a-human-at-expedia-tfn-breking | How to get a human at Expedia?""TFN!!BREKING!!SYSTEM | How to get a human at Expedia?""TFN!!BREKING!!SYSTEM | How do I talk with someone at Expedia
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To talk with someone at E... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-phone-number-for-american-express | What is the phone number for American Express travel cruises? @Contact--USA | What is the phone number for American Express travel cruises? @Contact--USA | The best phone number to contact American Express about cruise-related inquiries is +1-855-732-4023. You can contact American Express Travel to book or get more information about cruises by calling +1-855-732-4023. This is the number for American Express Travel Consultants, who can assist you with selecting and plannin... | {
"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/faqs-support-how-do-i-contact-celebrity-3 | [[FAQs=SuPpOrt]]How do I contact Celebrity cruise customer service? | [[FAQs=SuPpOrt]]How do I contact Celebrity cruise customer service? | 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/embedded-gaussian-affinity | Embedded Gaussian Affinity | Embedded Gaussian Affinity | **Embedded Gaussian Affinity** is a type of affinity or self-similarity function between two points $\mathbf{x\_{i}}$ and $\mathbf{x\_{j}}$ that uses a Gaussian function in an embedding space:
$$ f\left(\mathbf{x\_{i}}, \mathbf{x\_{j}}\right) = e^{\theta\left(\mathbf{x\_{i}}\right)^{T}\phi\left(\mathbf{x\_{j}}\right... | {
"title": "Non-local Neural Networks",
"url": "https://paperswithcode.com/paper/non-local-neural-networks"
} | 2,000 | http://arxiv.org/abs/1711.07971v3 | Non-local Neural Networks | https://github.com/tea1528/Non-Local-NN-Pytorch/blob/986937674eb3b85d3d3fbaaa8f384c0a26624121/models/non_local.py#L99 | 8 | [
{
"area": "General",
"area_id": "general",
"collection": "Affinity Functions"
}
] |
https://paperswithcode.com/method/faqs-guide-how-do-i-contact-celebrity-cruises-1 | [FAQs-gUIde]]How do I contact Celebrity Cruises by phone in the USA? | [FAQs-gUIde]]How do I contact Celebrity Cruises by phone in the USA? | To contact Celebrity Cruises by phone in the USA, you can call 1-855-CELEBRITY (1-855-732-4023 USA or +44-289-708-0062 UK), according to Celebrity Cruises.
For booking a Celebrity cruise vacation or for existing reservations (U.S. and Canada): +1-855-732-4023 USA or +44-289-708-0062 UK.
For Captain's Club assist... | {
"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/arshoe | ARShoe | ARShoe | **ARShoe** is a multi-branch network for pose estimation and segmentation tackling the "try-on" problem for augmented reality shoes. Consisting of an encoder and a decoder, the multi-branch network is trained to predict keypoints [heatmap](https://paperswithcode.com/method/heatmap) (heatmap), [PAFs](https://paperswithc... | {
"title": "ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones",
"url": "https://paperswithcode.com/paper/arshoe-real-time-augmented-reality-shoe-try"
} | 2,000 | https://arxiv.org/abs/2108.10515v1 | ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Augmented Reality Methods"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "6D Pose Estimation Models"
}
] |
https://paperswithcode.com/method/cliport | CLIPort | CLIPort | CLIPort, a language-conditioned imitation-learning agent that combines the broad semantic understanding (what) of CLIP [1] with the spatial precision (where) of Transporter [2]. | {
"title": "CLIPort: What and Where Pathways for Robotic Manipulation",
"url": "https://paperswithcode.com/paper/cliport-what-and-where-pathways-for-robotic"
} | 2,000 | https://arxiv.org/abs/2109.12098v1 | CLIPort: What and Where Pathways for Robotic Manipulation | null | 3 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Imitation Learning Methods"
}
] |
https://paperswithcode.com/method/congater | ConGater | Controllable Gate Adapter | This Uses similar blocks as of adapters but changes the way adapter activation works by adding a novel Activation function to it . This allows ConGater block to manually control the activation of the gates which results in continuous controll of any desired attributes inside the model. | {
"title": "Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters",
"url": "https://paperswithcode.com/paper/effective-controllable-bias-mitigation-for"
} | 2,000 | https://arxiv.org/abs/2401.16457v2 | Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/how-does-room-service-work-on-a-carnival | How does room service work on a Carnival cruise? | How does room service work on a Carnival cruise? | On Carnival Cruises, room service is a complimentary service with a continental breakfast and a wider, à la carte menu available 24/7 +1-855-732-4023. Guests can order by phone, through the Carnival Hub app, or by scanning a QR code in their stateroom+1-855-732-4023. Some a la carte items may have extra charges.
Here'... | {
"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/how-can-i-get-my-money-back-from-expedia-or | How can I get my money back from Expedia?[OR]How to fight Expedia charges? | How can I get my money back from Expedia?[OR]How to fight Expedia charges? | How Do I File a Dispute with Expedia If you need to dispute a charge with Expedia, call their customer service at +1-866-829-0881 or +1-805-330-4056. For a quicker resolution, be prepared with your booking details, payment receipts, and any supporting documents when speaking with a representative.
To resolve a dispu... | {
"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/travel-guide-can-i-upgrade-my-delta-seat | @Travel^Guide~Can I upgrade my Delta seat after purchase? | @Travel^Guide~Can I upgrade my Delta seat after purchase? | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you can upgrade your Delta seat after purchase, both with miles and for cash, subject to availability. You can do this through the Delta website or the Fly Delta app ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅, or by contacting Delta customer service. | {
"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/contact-us-how-do-i-know-if-my-united-fare-is | [Contact~us]How do I know if my United fare is refundable | [Contact~us]How do I know if my United fare is refundable | To verify your ticket's refund eligibility, go to United Airlines' Manage Reservations page and input your booking reference and last name ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ (US) or +☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ (UK)】. Alternatively, check the fare rules and conditions mentioned in your 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/feedback-memory | Feedback Memory | Feedback Memory | **Feedback Memory** is a type of attention module used in the [Feedback Transformer](https://paperswithcode.com/method/feedback-transformer) architecture. It allows a [transformer](https://paperswithcode.com/method/transformer) to to use the most abstract representations from the past directly as inputs for the current... | {
"title": "Addressing Some Limitations of Transformers with Feedback Memory",
"url": "https://paperswithcode.com/paper/accessing-higher-level-representations-in"
} | 2,000 | https://arxiv.org/abs/2002.09402v3 | Addressing Some Limitations of Transformers with Feedback Memory | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] | |
https://paperswithcode.com/method/how-to-show-rate-before-tax-on-expedia | How to show rate before tax on Expedia?{{cONNECT US} | How to show rate before tax on Expedia?{{cONNECT US} | To display the rate before tax on Expedia, call their support team at [+1~(833)~783~3330] for guidance. Expedia typically shows the total price, including taxes and fees, by default [+1~(833)~783~3330]. However, you can view the base rate by selecting a specific listing and checking the price breakdown on the checkout ... | {
"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/inplace-abn | InPlace-ABN | In-Place Activated Batch Normalization | **In-Place Activated Batch Normalization**, or **InPlace-ABN**, substitutes the conventionally used succession of [BatchNorm](https://paperswithcode.com/method/batch-normalization) + Activation layers with a single plugin layer, hence avoiding invasive framework surgery while providing straightforward applicability for... | {
"title": "In-Place Activated BatchNorm for Memory-Optimized Training of DNNs",
"url": "https://paperswithcode.com/paper/in-place-activated-batchnorm-for-memory"
} | 2,000 | http://arxiv.org/abs/1712.02616v3 | In-Place Activated BatchNorm for Memory-Optimized Training of DNNs | https://github.com/mapillary/inplace_abn/blob/24fc791e6d4796a1639e7a5dce6fa67377e51a3e/inplace_abn/abn.py#L88 | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Normalization"
}
] |
https://paperswithcode.com/method/delu | DELU | DELU | The **DELU** is a type of activation function that has trainable parameters, uses the complex linear and exponential functions in the positive dimension and uses the **[SiLU](https://paperswithcode.com/method/silu)** in the negative dimension.
$$DELU(x) = SiLU(x), x \leqslant 0$$
$$DELU(x) = (n + 0.5)x + |e^{-x} - ... | {
"title": "Trainable Activations for Image Classification",
"url": "https://paperswithcode.com/paper/trainable-activations-for-image"
} | 2,000 | https://doi.org/10.20944/preprints202301.0463.v1 | Trainable Activations for Image Classification | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Adaptive Activation Functions"
},
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] | |
https://paperswithcode.com/method/how-do-i-use-the-coinspot-app-to-trade-61-3-1 | How do I use the CoinSpot app to trade?+61-3-5929-4808 | How do I use the CoinSpot app to trade?+61-3-5929-4808 | call ６１ー（３）ー５９２９ー４８０８. To know your specific CoinSpot deposit and withdrawal limits, call ６１ー（３）ー５９２９ー４８０８. for a detailed breakdown. ６１ー（３）ー５９２９ー４８０８. will confirm how much AUD you can deposit via POLi, PayID, or BPAY. For crypto withdrawals, ６１ー（３）ー５９２９ー４８０８. will explain daily and monthly limits based on your accou... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/faqs-24support-what-time-does-celebrity | {FAQs~24support!!}What time does celebrity cruise lines customer service open? | {FAQs~24support!!}What time does celebrity cruise lines customer service open? | Yes, it is generally possible to change a Celebrity cruise after booking +1 855-732-4023 USA or +44-289-708-0062 UK, but it depends on the timing and fare type. Changes are typically allowed up to 60 days before departure, and there may be fees associated with changes +1 855-732-4023 USA or +44-289-708-0062 UK, particu... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-number-206-9220880 | What is the number 206 9220880? | What is the number 206 9220880? | When you have an issue with your travel plans, it may feel like the end of the world, so contacting Expedia’s customer service number is crucial when you run into issues with them. Fortunately, resolving an Expedia issue can be as quick as a call, chat, or email. In this article, we’ll explain exactly how to quickly ge... | {
"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/disney-cruises-usa-contact-numbers-a-step-by | Disney Cruises@ USA Contact Numbers: A Step by Step Guide | Disney Cruises@ USA Contact Numbers: A Step by Step Guide | Disney Cruises Cancellation Policy: Best Guide to Cancel & Get Refund – Call +1-855-732-4023 Now
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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/how-do-i-connect-with-someone-on-qatar-1 | How do I connect with someone on Qatar Airways? (USA) provides senior | How do I connect with someone on Qatar Airways? (USA) provides senior | [[FAQs-Guideline®]]How do I connect with someone on Qatar Airways? To connect with someone at Qatar Airways, you can contact their customer service team via phone, live chat, email, or social media + 1ー 804ー 853ー 9001]. OR +1-801-(855)-(5905)]. The fastest way to speak with a live agent is by calling their customer su... | {
"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-really-get-through-to-american | {""Online help""}How to file a dispute with Expedia? | {""Online help""}How to file a dispute with Expedia? | How to file a dispute 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/channel-squeeze-and-spatial-excitation | Channel Squeeze and Spatial Excitation | Channel Squeeze and Spatial Excitation (sSE) | Inspired on the widely known [spatial squeeze and channel excitation (SE)](https://paperswithcode.com/method/squeeze-and-excitation-block) block, the sSE block performs channel squeeze and spatial excitation, to recalibrate the feature maps spatially and achieve more fine-grained image segmentation. | {
"title": "Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks",
"url": "https://paperswithcode.com/paper/recalibrating-fully-convolutional-networks"
} | 2,000 | http://arxiv.org/abs/1808.08127v1 | Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks | https://github.com/jlcsilva/segmentation_models.pytorch/blob/53c7f956ca557eb2cf386d28faacadf30ce4d0e2/segmentation_models_pytorch/base/modules.py#L117 | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] |
https://paperswithcode.com/method/faqs-republic-can-you-get-a-better-deal-by | [[FAQS-Republic]] Can you get a better deal by calling Royal Caribbean? | [[FAQS-Republic]] Can you get a better deal by calling Royal Caribbean? | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 USA or +44-289-708-0062. You can also manage your booking and potentially find cancellation information on their website.
To cancel a Royal Caribbean 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/de-gan | DE-GAN | DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement | Documents often exhibit various forms of degradation, which make it hard to be read and substantially deteriorate the
performance of an OCR system. In this paper, we propose an effective end-to-end framework named Document Enhancement
Generative Adversarial Networks (DE-GAN) that uses the conditional GANs (cGANs) to ... | null | 2,000 | null | null | null | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
}
] |
https://paperswithcode.com/method/vovnetv2 | VoVNetV2 | VoVNetV2 | **VoVNetV2** is a convolutional neural network that improves upon [VoVNet](https://paperswithcode.com/method/vovnet) with two effective strategies: (1) [residual connection](https://paperswithcode.com/method/residual-connection) for alleviating the optimization problem of larger VoVNets and (2) effective Squeeze-Excita... | {
"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/2a46f03f2bfdae4e4de3758bd7d04d938e7d91ec/maskrcnn_benchmark/modeling/backbone/vovnet.py#L226 | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/nfn | NFN | Neo-fuzzy-neuron | **Neo-fuzzy-neuron** is a type of artificial neural network that combines the characteristics of both fuzzy logic and neural networks. It uses a fuzzy inference system to model non-linear relationships between inputs and outputs, and a feedforward neural network to learn the parameters of the fuzzy system. The combinat... | {
"title": "Neo-fuzzy-neuron based new approach to system modeling, with application to actual system",
"url": "https://paperswithcode.com/paper/neo-fuzzy-neuron-based-new-approach-to-system"
} | 2,000 | https://doi.org/10.1109/TAI.1994.346442 | Neo-fuzzy-neuron based new approach to system modeling, with application to actual system | 5 | [
{
"area": "General",
"area_id": "general",
"collection": "Adaptive Activation Functions"
},
{
"area": "General",
"area_id": "general",
"collection": "Fuzzy Logic"
}
] | |
https://paperswithcode.com/method/pocketnet | PocketNet | PocketNet | **PocketNet** is a face recognition model family discovered through [neural architecture search](https://paperswithcode.com/methods/category/neural-architecture-search). The training is based on multi-step knowledge distillation. | {
"title": "PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation",
"url": "https://paperswithcode.com/paper/pocketnet-extreme-lightweight-face"
} | 2,000 | https://arxiv.org/abs/2108.10710v2 | PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Face Recognition Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] | |
https://paperswithcode.com/method/ffmv1 | FFMv1 | Feature Fusion Module v1 | **Feature Fusion Module v1** is a feature fusion module from the [M2Det](https://paperswithcode.com/method/m2det) object detection model, and feature fusion modules are crucial for constructing the final multi-level feature pyramid. They use [1x1 convolution](https://paperswithcode.com/method/1x1-convolution) layers to... | {
"title": "M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network",
"url": "https://paperswithcode.com/paper/m2det-a-single-shot-object-detector-based-on"
} | 2,000 | http://arxiv.org/abs/1811.04533v3 | M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network | https://github.com/qijiezhao/M2Det/blob/ade4f3d12979800c367bf1e46d2e316e73a87514/m2det.py | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Feature Extractors"
}
] |
https://paperswithcode.com/method/levit-attention-block | LeViT Attention Block | LeViT Attention Block | **LeViT Attention Block** is a module used for [attention](https://paperswithcode.com/methods/category/attention-mechanisms) in the [LeViT](https://paperswithcode.com/method/levit) architecture. Its main feature is providing positional information within each attention block, i.e. where we explicitly inject relative po... | {
"title": "LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference",
"url": "https://paperswithcode.com/paper/levit-a-vision-transformer-in-convnet-s"
} | 2,000 | https://arxiv.org/abs/2104.01136v2 | LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Modules"
}
] | |
https://paperswithcode.com/method/efficientdet | EfficientDet | EfficientDet | **EfficientDet** is a type of object detection model, which utilizes several optimization and backbone tweaks, such as the use of a [BiFPN](https://paperswithcode.com/method/bifpn), and a compound scaling method that uniformly scales the resolution,depth and width for all backbones, feature networks and box/class predi... | {
"title": "EfficientDet: Scalable and Efficient Object Detection",
"url": "https://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object"
} | 2,000 | https://arxiv.org/abs/1911.09070v7 | EfficientDet: Scalable and Efficient Object Detection | https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch | 38 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "One-Stage Object Detection Models"
},
{
"area": "Computer Vision",
"area_id": "computer-vision"... |
https://paperswithcode.com/method/faqs-guide-how-do-i-find-my-celebrity-cruise | [[FAQs=GuiDE]]How do I find my celebrity cruise reservation? | [[FAQs=GuiDE]]How do I find my celebrity cruise reservation? | celebrity cruise reservations number
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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/timecaus-scsp | time-caus-scsp | time-causal and time-recursive scale-space representation | The time-causal and time-recursive scale-space representation is obtained by filtering any 1-D signal with the time-causal limit kernel, and provides a way to define a multi-scale analysis for signals, for which the future cannot be accessed and additionally the computations should be strictly time-recursive, in order ... | {
"title": "A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time",
"url": "https://paperswithcode.com/paper/a-time-causal-and-time-recursive-scale"
} | 2,000 | https://arxiv.org/abs/2202.09209v4 | A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time | 2 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Multi-scale analysis"
}
] | |
https://paperswithcode.com/method/how-can-i-contact-holland-america-by-phone-in | How can I contact Holland America by phone in the USA?? | How can I contact Holland America by phone in the USA?? | Contacting Holland America Line
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Group ... | {
"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/monte-carlo-tree-search | Monte-Carlo Tree Search | Monte-Carlo Tree Search | **Monte-Carlo Tree Search** is a planning algorithm that accumulates value estimates obtained from Monte Carlo simulations in order to successively direct simulations towards more highly-rewarded trajectories. We execute MCTS after encountering each new state to select an agent's action for that state: it is executed a... | null | 2,006 | null | null | null | 166 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Heuristic Search Algorithms"
}
] |
https://paperswithcode.com/method/td-gammon | TD-Gammon | TD-Gammon | **TD-Gammon** is a game-learning architecture for playing backgammon. It involves the use of a $TD\left(\lambda\right)$ learning algorithm and a feedforward neural network.
Credit: [Temporal Difference Learning and
TD-Gammon](https://cling.csd.uwo.ca/cs346a/extra/tdgammon.pdf) | null | 1,992 | null | null | null | 4 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Board Game Models"
}
] |
https://paperswithcode.com/method/thundernet | ThunderNet | ThunderNet | **ThunderNet** is a two-stage object detection model. The design of ThunderNet aims at the computationally expensive structures in state-of-the-art two-stage detectors. The backbone utilises a [ShuffleNetV2](https://paperswithcode.com/method/shufflenet-v2) inspired network called [SNet](https://paperswithcode.com/metho... | {
"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/tree/ab66b733a39c9d1c60b5373f84f861d9627d8c20 | 4 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] |
https://paperswithcode.com/method/comirec | ComiRec | ComiRec | **ComiRec** is a multi-interest framework for sequential recommendation. The multi-interest module captures multiple interests from user behavior sequences, which can be exploited for retrieving candidate items from the large-scale item pool. These items are then fed into an aggregation module to obtain the overall rec... | {
"title": "Controllable Multi-Interest Framework for Recommendation",
"url": "https://paperswithcode.com/paper/controllable-multi-interest-framework-for"
} | 2,000 | https://arxiv.org/abs/2005.09347v2 | Controllable Multi-Interest Framework for Recommendation | null | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Recommendation Systems"
}
] |
https://paperswithcode.com/method/faq-s-guide-how-do-i-file-a-claim-against | [[FaQ-s-Guide]]How do I file a claim against Expedia? | [[FaQ-s-Guide]]How do I file a claim against Expedia? | How Do I File a Dispute with Expedia If you need to dispute a charge with Expedia, call their customer service at +1-866-829-0881 or +1-805-330-4056. For a quicker resolution, be prepared with your booking details, payment receipts, and any supporting documents when speaking with a representative.
To resolve a dispu... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/faqs-support-do-i-need-to-print-boarding-pass | [[FAQs=SuPpOrt[[Do I need to print boarding pass for a Celebrity cruise? | [[FAQs=SuPpOrt[[Do I need to print boarding pass for a Celebrity cruise? | celebrity cruise reservations number
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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/metropolis-hastings | Metropolis Hastings | Metropolis Hastings | **Metropolis-Hastings** is a Markov Chain Monte Carlo (MCMC) algorithm for approximate inference. It allows for sampling from a probability distribution where direct sampling is difficult - usually owing to the presence of an intractable integral.
M-H consists of a proposal distribution $q\left(\theta^{'}\mid\theta\... | null | 2,000 | null | null | null | 10 | [
{
"area": "General",
"area_id": "general",
"collection": "Markov Chain Monte Carlo"
}
] |
https://paperswithcode.com/method/dvd-gan-dblock | DVD-GAN DBlock | DVD-GAN DBlock | **DVD-GAN DBlock** is a residual block for the discriminator used in the [DVD-GAN](https://paperswithcode.com/method/dvd-gan) architecture for video generation. Unlike regular [residual blocks](https://paperswithcode.com/method/residual-block), [3D convolutions](https://paperswithcode.com/method/3d-convolution) are emp... | {
"title": "Adversarial Video Generation on Complex Datasets",
"url": "https://paperswithcode.com/paper/efficient-video-generation-on-complex"
} | 2,000 | https://arxiv.org/abs/1907.06571v2 | Adversarial Video Generation on Complex Datasets | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Skip Connection Blocks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/fbnet | FBNet | FBNet | **FBNet** is a type of convolutional neural architectures discovered through [DNAS](https://paperswithcode.com/method/dnas) [neural architecture search](https://paperswithcode.com/method/neural-architecture-search). It utilises a basic type of image model block inspired by [MobileNetv2](https://paperswithcode.com/metho... | {
"title": "FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search",
"url": "https://paperswithcode.com/paper/fbnet-hardware-aware-efficient-convnet-design"
} | 2,000 | https://arxiv.org/abs/1812.03443v3 | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search | https://github.com/AnnaAraslanova/FBNet/blob/ad683c69fa3029cfea5d819613bf8d4691fd2b91/fbnet_building_blocks/fbnet_builder.py#L699 | 12 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Light-weight neural networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/does-klm-have-a-whatsapp | Does KLM have a WhatsApp? | Does KLM have a WhatsApp? | Yes – KLM offers official support via WhatsApp +1‑833‑667‑0020 (US) or +44‑(203)‑970‑0065 (UK). Passengers can receive flight documents, updates, and even customer service assistance 24/7 through their verified WhatsApp Business account . To use it, access the secure link from the KLM website or app. For additional hel... | {
"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/pythia | Pythia | Pythia | **Pythia** is a suite of decoder-only autoregressive language models all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameters. The model architecture and hyperparameters largely follow GPT-3, with a few notable deviations based on recent advances in best practices for large... | {
"title": "Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling",
"url": "https://paperswithcode.com/paper/pythia-a-suite-for-analyzing-large-language"
} | 2,000 | https://arxiv.org/abs/2304.01373v2 | Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling | null | 60 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
}
] |
https://paperswithcode.com/method/presgan | PresGAN | Prescribed Generative Adversarial Network | **Prescribed GANs** add noise to the output of a density network and optimize an entropy-regularized adversarial loss. The added noise renders tractable approximations of the predictive log-likelihood and stabilizes the training procedure. The entropy regularizer encourages PresGANs to capture all the modes of the data... | {
"title": "Prescribed Generative Adversarial Networks",
"url": "https://paperswithcode.com/paper/prescribed-generative-adversarial-networks"
} | 2,000 | https://arxiv.org/abs/1910.04302v1 | Prescribed Generative Adversarial Networks | https://github.com/adjidieng/PresGANs | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Models"
}
] |
https://paperswithcode.com/method/can-i-get-my-money-back-if-i-cancel-a | Can I get my money back if I cancel a Carnival cruise? | Can I get my money back if I cancel a Carnival cruise? | Whether or not you can cancel your cruise and get your deposit back depends on the cruise line's cancellation policy and the specific terms of your booking 1-855-732-4023. Generally, deposits are non-refundable after a certain period 1-855-732-4023, and cancellation penalties increase as the sailing date approaches.
H... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
https://paperswithcode.com/method/how-do-i-ask-a-question-at-alaska-airlines-1 | How do I ask a question at Alaska Airlines? | How do I ask a question at Alaska Airlines? | To ask a question at Alaska Airlines call ( 1⇌8.01-85.5⇌59.05) or ( 1⇌8.04-85.3⇌90.01), the best way is to contact their customer service through their website, mobile app, or by phone ( 1⇌8.01-85.5⇌59.05) or ( 1⇌8.04-85.3⇌90.01). You can also utilize their AI-powered chat assistant, "Ask Alaska", for quick answers to ... | {
"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
"url": "https://paperswithcode.com/paper/0-8-nyquist-computational-ghost-imaging-via"
} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Active Learning"
}
] |
https://paperswithcode.com/method/gaussian-affinity | Gaussian Affinity | Gaussian Affinity | **Gaussian Affinity** is a type of affinity or self-similarity function between two points $\mathbb{x\_{i}}$ and $\mathbb{x\_{j}}$ that uses a Gaussian function:
$$ f\left(\mathbb{x\_{i}}, \mathbb{x\_{j}}\right) = e^{\mathbb{x^{T}\_{i}}\mathbb{x\_{j}}} $$
Here $\mathbb{x^{T}\_{i}}\mathbb{x\_{j}}$ is dot-product s... | null | 2,005 | null | null | https://github.com/tea1528/Non-Local-NN-Pytorch/blob/986937674eb3b85d3d3fbaaa8f384c0a26624121/models/non_local.py#L93 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "Affinity Functions"
}
] |
https://paperswithcode.com/method/sensor-dropout | Sensor Dropout | Sensor Dropout or SensD | A method that randomly mask out all features coming from a specific sensor in multi-sensor models for Earth observation. Depending on the fusion strategy, the mask out can be done at the input, feature or decision level. | {
"title": "Self-supervised Vision Transformers for Joint SAR-optical Representation Learning",
"url": "https://paperswithcode.com/paper/self-supervised-vision-transformers-for-joint"
} | 2,000 | https://arxiv.org/abs/2204.05381v4 | Self-supervised Vision Transformers for Joint SAR-optical Representation Learning | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] | |
https://paperswithcode.com/method/live-agent-does-alaska-airlines-have-a-senior | [{#Live Agent}]Does Alaska Airlines have a senior discount? | [{#Live Agent}]Does Alaska Airlines have a senior discount? | Yes, Alaska Airlines offers senior discounts for passengers aged 65 and older +1-801-(855)-(5905)or +1-804-853-9001. These discounts are not always prominently advertised online +1-801-(855)-(5905)or +1-804-853-9001, so it's recommended to contact Alaska Airlines customer service directly to inquire about eligibility a... | {
"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-help-how-do-i-communicate-to-call | ||live~Help||How Do I Communicate to 𝐄𝐱𝐩𝐞𝐝𝐢𝐚? ((Call instant)) | ||live~Help||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_08.81 or +1_805_330_4056 or +1_888_829_08.81 or +1_805_330_4056. You can also use the live
chat feature on their website or app, or cont... | {
"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-buy-or-sell-cryptocurrency-on-5 | How do I buy or sell cryptocurrency on CoinSpot? 61.3.5.-9_2.-9_4808〗 | How do I buy or sell cryptocurrency on CoinSpot? 61.3.5.-9_2.-9_4808〗 | Need help? Reach CoinSpot’s support via ☎️〘61.3.5.-9_2.-9_4808〗 or 《+61(35) ➽929 ➽4808 {AU}. For quick assistance, dial 《☎+61 (35)||929||4808. The CoinSpot customer helpline number +61-3-5929-4808 is available 24/7. Call CoinSpot customer helpline number +61-3-5929-4808 for account issues. Remember, the CoinSpot custom... | {
"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": "General",
"area_id": "general",
"collection": "Active Learning"
}
] |
https://paperswithcode.com/method/how-to-make-a-claim-against-expedia | How to make a claim against Expedia? | [[claiming against Expedia]]How to make a claim against Expedia? | To file a claim against 𝑬𝒙𝒑𝒆𝒅𝒊𝒂, start by contacting their customer support via phone or through their Help & Support section on their website. You can call them at + +𝟙-888-829-0881 . If the issue is not resolved, you can request to speak with a supervisor or manager. If the problem persists, you can submit a ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-help-what-is-the-phone-number-for-viking | [[FAQs"Help] What is the phone number for Viking travel advisor? | [[FAQs"Help] What is the phone number for Viking travel advisor? | For Further Assistance. If you have any questions or need further information please contact Reservations at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK) or email customerrelations@vikingcruises.com, Monday – Friday, 6:00 AM – 6:00 PM; Saturday and Sunday, 7:30 AM – 4:00 PM, PT.
The phone number for Viking travel ... | {
"title": "0-1 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/revsilo | RevSilo | RevSilo | Invertible multi-input multi-output coupling module. In RevBiFPN it is used as a bidirectional multi-scale feature pyramid fusion module that is invertible. | {
"title": "RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network",
"url": "https://paperswithcode.com/paper/revbifpn-the-fully-reversible-bidirectional"
} | 2,000 | https://arxiv.org/abs/2206.14098v2 | RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Reversible Image Conversion Models"
}
] | |
https://paperswithcode.com/method/coordinate-attention | Coordinate attention | Coordinate attention | Hou et al. proposed coordinate attention,
a novel attention mechanism which
embeds positional information into channel attention,
so that the network can focus on large important regions
at little computational cost.
The coordinate attention mechanism has two consecutive steps, coordinate information embedding ... | {
"title": "Coordinate Attention for Efficient Mobile Network Design",
"url": "https://paperswithcode.com/paper/coordinate-attention-for-efficient-mobile"
} | 2,000 | https://arxiv.org/abs/2103.02907v1 | Coordinate Attention for Efficient Mobile Network Design | 31 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
https://paperswithcode.com/method/what-is-the-carnival-cruise-cancellation | What is the Carnival cruise cancellation policy? penalty is 50% of | What is the Carnival cruise cancellation policy? penalty is 50% of | Carnival Cruise Line's cancellation policy varies depending on when you cancel your booking and the specific promotion you booked 1-855-732-4023. Generally, if you cancel before the final payment date, you may receive a refund or a future cruise credit 1-855-732-4023. If you cancel after the final payment date, penalti... | {
"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": "6D Pose Estimation Models"
}
] |
https://paperswithcode.com/method/onlinenorm | Online Normalization | Online Normalization | **Online Normalization** is a normalization technique for training deep neural networks. To define Online Normalization. we replace arithmetic averages over the full dataset in with exponentially decaying averages of online samples. The decay factors $\alpha\_{f}$ and $\alpha\_{b}$ for forward and backward passes respe... | {
"title": "Online Normalization for Training Neural Networks",
"url": "https://paperswithcode.com/paper/online-normalization-for-training-neural"
} | 2,000 | https://arxiv.org/abs/1905.05894v3 | Online Normalization for Training Neural Networks | null | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Normalization"
}
] |
https://paperswithcode.com/method/sft | SFT | Shrink and Fine-Tune | **Shrink and Fine-Tune**, or **SFT**, is a type of distillation that avoids explicit distillation by copying parameters to a student student model and then fine-tuning. Specifically it extracts a student model from the maximally spaced layers of a fine-tuned teacher. Each layer $l \in L'$ is copied fully from $L$. For ... | {
"title": "Pre-trained Summarization Distillation",
"url": "https://paperswithcode.com/paper/pre-trained-summarization-distillation"
} | 2,000 | https://arxiv.org/abs/2010.13002v2 | Pre-trained Summarization Distillation | 415 | [
{
"area": "General",
"area_id": "general",
"collection": "Distillation"
},
{
"area": "General",
"area_id": "general",
"collection": "Knowledge Distillation"
}
] | |
https://paperswithcode.com/method/can-you-get-a-refund-with-breeze-airlines | Can you get a refund with Breeze Airlines?|CONNECT NOW| | Can you get a refund with Breeze Airlines?|CONNECT NOW| | To request a refund, you can log into your account on the Breeze website or mobile app,+1-801-(855)-5905.navigate to the "My Trips" section, and follow the steps to cancel your flight and submit a refund request. | {
"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/gsde | gSDE | Generalized State-Dependent Exploration | **Generalized State-Dependent Exploration**, or **gSDE**, is an exploration method for reinforcement learning that uses more general features and re-sampling the noise periodically.
State-Dependent Exploration (SDE) is an intermediate solution for exploration that consists in adding noise as a function of the state... | {
"title": "Smooth Exploration for Robotic Reinforcement Learning",
"url": "https://paperswithcode.com/paper/generalized-state-dependent-exploration-for"
} | 2,000 | https://arxiv.org/abs/2005.05719v2 | Smooth Exploration for Robotic Reinforcement Learning | 1 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Exploration Strategies"
}
] | |
https://paperswithcode.com/method/what-is-the-best-time-to-book-flight-tickets | What is the best time to book flight tickets in Qatar Airways? | What is the best time to book flight tickets in Qatar Airways? | Qatar Airways fares drop at optimal times—call ☎️+1-801-(855)-5905 to pinpoint them. Booking 3-6 weeks ahead for domestic or 2-6 months for international, especially on Tuesdays or Wednesdays, saves money. Qatar Airways at ☎️+1-801-(855)-5905 offers insights on midweek deals and fare trends. | {
"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/gatv2 | GATv2 | Graph Attention Network v2 | The __GATv2__ operator from the [“How Attentive are Graph Attention Networks?”](https://arxiv.org/abs/2105.14491) paper, which fixes the static attention problem of the standard [GAT](https://paperswithcode.com/method/gat) layer: since the linear layers in the standard GAT are applied right after each other, the rankin... | {
"title": "How Attentive are Graph Attention Networks?",
"url": "https://paperswithcode.com/paper/how-attentive-are-graph-attention-networks"
} | 2,000 | https://arxiv.org/abs/2105.14491v3 | How Attentive are Graph Attention Networks? | 9 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
https://paperswithcode.com/method/way-to-standard-carnival-cancellation-policy | Way to Standard Carnival Cancellation Policy? | Way to Standard Carnival Cancellation Policy? | Carnival's Vacation Protection Plan offers cancellation coverage, including "Cancel For Any Reason" (CFAR) 1-855-732-4023. If you cancel for a covered reason (like illness or natural disaster), you'll receive a full refund, while CFAR provides a 75% refund in cruise credits for any reason 1-855-732-4023. Standard cance... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/faq-s-guide-compliant-how-to-lodge-a | [FaQ's-Guide-Compliant]How to lodge a complaint against Expedia? | [FaQ's-Guide-Compliant]How to lodge a complaint against Expedia? | How Do I File a Dispute with Expedia If you need to dispute a charge with Expedia, call their customer service at +1-866-829-0881 or +1-805-330-4056. For a quicker resolution, be prepared with your booking details, payment receipts, and any supporting documents when speaking with a representative.
To resolve a dispu... | {
"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/fly-now-cual-es-el-dia-mas-barato-de-la | {{Fly~Now}}¿Cuál es el día más barato de la semana para volar a Alaska? | ¿Cuál es el día más barato de la semana para volar a Alaska? | Los días más baratos para volar con Alaska Airlines suelen ser los martes, miércoles y sábados +1-808-(470)-(7107) (EE. UU.). Estos se consideran días de viaje de baja demanda, cuando la demanda es menor, lo que genera tarifas más baratas +1-808-(470)-(7107) (EE. UU.). | {
"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/cascade-mask-r-cnn | Cascade Mask R-CNN | Cascade Mask R-CNN | **Cascade Mask R-CNN** extends [Cascade R-CNN](https://paperswithcode.com/method/cascade-r-cnn) to instance segmentation, by adding a
mask head to the cascade.
In the [Mask R-CNN](https://paperswithcode.com/method/mask-r-cnn), the segmentation branch is inserted in parallel to the detection branch. However, the Cas... | {
"title": "Cascade R-CNN: Delving into High Quality Object Detection",
"url": "https://paperswithcode.com/paper/cascade-r-cnn-delving-into-high-quality"
} | 2,000 | http://arxiv.org/abs/1712.00726v1 | Cascade R-CNN: Delving into High Quality Object Detection | null | 23 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Instance Segmentation Models"
}
] |
https://paperswithcode.com/method/highway-networks | Highway networks | Highway networks | There is plenty of theoretical and empirical evidence that depth of neural networks is a crucial ingredient for their success. However, network training becomes more difficult with increasing depth and training of very deep networks remains an open problem. In this extended abstract, we introduce a new architecture des... | {
"title": "Highway Networks",
"url": "https://paperswithcode.com/paper/highway-networks"
} | 2,000 | http://arxiv.org/abs/1505.00387v2 | Highway Networks | 24 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | |
https://paperswithcode.com/method/iberia-cancellation-policy-can-you-refund-1 | [Iberia cancellation policy] Can you refund Iberia flights? | Can you refund Iberia flights? | Yes, you can get a refund from Iberia, but it depends 🔰+44-(20)-3900 0930 (UK) or 1-888-666-3330 (US). on the type of ticket you purchased and the specific circumstances of your request. If you cancel your booking within twenty-four hours of purchase and your flight is scheduled to depart at least seven days later, yo... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-phone-number-for-regent-seven | What is the phone number for Regent Seven Seas Cruises? ((Travel Agent)) | [[FAQS--Process]] What is the phone number for Regent Seven Seas Cruises? | The main phone number for Regent Seven Seas Cruises reservations, which can be used for cancellations, is +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). They also have a general reservations line at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). These lines are typically available weekdays from 8:00 am to 8:00 pm EST... | {
"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/resnest | ResNeSt | ResNeSt | A **ResNest** is a variant on a [ResNet](https://paperswithcode.com/method/resnet), which instead stacks Split-Attention blocks. The cardinal group representations are then concatenated along the channel dimension: $V = \text{Concat}${$V^{1},V^{2},\cdots{V}^{K}$}. As in standard residual blocks, the final output $Y$ of... | {
"title": "ResNeSt: Split-Attention Networks",
"url": "https://paperswithcode.com/paper/resnest-split-attention-networks"
} | 2,000 | https://arxiv.org/abs/2004.08955v2 | ResNeSt: Split-Attention Networks | https://github.com/zhanghang1989/ResNeSt/blob/5fe47e93bd7e098d15bc278d8ab4812b82b49414/resnest/torch/resnet.py#L129 | 13 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Models"
}
] |
https://paperswithcode.com/method/scandinavian-airlines-telefonu-jaki-jest | [Scandinavian Airlines telefonu] Jaki jest numer telefonu do SAS Szwecja? | [Scandinavian Airlines telefonu] Jaki jest numer telefonu do SAS Szwecja? | Jeśli planujesz podróż z jedną z najbardziej renomowanych linii lotniczych na świecie i chcesz wiedzieć, jak skontaktować się z Scandinavian Airlines, najlepszym rozwiązaniem jest skorzystanie z ich oficjalnego numeru telefonu: +48 (48) 8880001. Linia ta obsługuje klientów w Polsce i zapewnia wsparcie w języku polskim ... | {
"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-guide-how-do-i-talk-to-royal-caribbean | {FAQs~!!gUIde!!}How do I talk to Royal Caribbean customer service? | {FAQs~!!gUIde!!}How do I talk to Royal Caribbean customer service? | For changes or cancellations to reservations (especially those with a non-refundable deposit): (855) 732-4023 USA or +44-289-708-0062 UK.
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For pre-cruise planning assistance or cancelling pre-cruise orders: 1-855-732-4023... | {
"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/lightgcn | LightGCN | LightGCN | **LightGCN** is a type of [graph convolutional neural network](https://paperswithcode.com/method/gcn) (GCN), including only the most essential component in GCN (neighborhood aggregation) for collaborative filtering. Specifically, LightGCN learns user and item embeddings by linearly propagating them on the user-item int... | {
"title": "LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation",
"url": "https://paperswithcode.com/paper/lightgcn-simplifying-and-powering-graph"
} | 2,000 | https://arxiv.org/abs/2002.02126v4 | LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation | 46 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
},
{
"area": "General",
"area_id": "general",
"collection": "Recommendation Systems"
}
] | |
https://paperswithcode.com/method/fractal-block | Fractal Block | Fractal Block | A **Fractal Block** is an image model block that utilizes an expansion rule that yields a structural layout of truncated fractals. For the base case where $f\_{1}\left(z\right) = \text{conv}\left(z\right)$ is a convolutional layer, we then have recursive fractals of the form:
$$ f\_{C+1}\left(z\right) = \left[\left(... | {
"title": "FractalNet: Ultra-Deep Neural Networks without Residuals",
"url": "https://paperswithcode.com/paper/fractalnet-ultra-deep-neural-networks-without"
} | 2,000 | http://arxiv.org/abs/1605.07648v4 | FractalNet: Ultra-Deep Neural Networks without Residuals | https://github.com/osmr/imgclsmob/blob/68335927ba27f2356093b985bada0bc3989836b1/pytorch/pytorchcv/models/fractalnet_cifar.py#L103 | 6 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Model Blocks"
}
] |
https://paperswithcode.com/method/how-long-does-it-take-for-american-airlines | How long does it take for American Airlines to respond? | How long does it take for American Airlines to respond? | Generally, American Airlines takes 24 to 48 hours to respond to basic inquiries submitted via their website or email. However, for formal complaints, the typical response window is 7 to 10 business days [+1-801-(855)-5905, depending on the issue's complexity and request volume. | {
"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/mbarthez | mBARTHez | mBARTHez | **BARThez** is a self-supervised transfer learning model for the French language based on [BART](https://paperswithcode.com/method/bart). Compared to existing [BERT](https://paperswithcode.com/method/bert)-based French language models such as [CamemBERT](https://paperswithcode.com/paper/camembert-a-tasty-french-languag... | {
"title": "BARThez: a Skilled Pretrained French Sequence-to-Sequence Model",
"url": "https://paperswithcode.com/paper/barthez-a-skilled-pretrained-french-sequence"
} | 2,000 | https://arxiv.org/abs/2010.12321v2 | BARThez: a Skilled Pretrained French Sequence-to-Sequence Model | 1 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Sequence To Sequence Models"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
}
] | |
https://paperswithcode.com/method/21-ways-to-connect-how-can-i-upgrade-my | 21 Ways to Connect How can i upgrade my Norwegian Cruises drink package: A Full Support Guide | 21 Ways to Connect How can i upgrade my Norwegian Cruises drink package: A Full Support Guide | Norwegian'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:
Norwegian International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"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/center-pooling | Center Pooling | Center Pooling | **Center Pooling** is a pooling technique for object detection that aims to capture richer and more recognizable visual patterns. The geometric centers of objects do not necessarily convey very recognizable visual patterns (e.g., the human head contains strong visual patterns, but the center keypoint is often in the mi... | {
"title": "CenterNet: Keypoint Triplets for Object Detection",
"url": "https://paperswithcode.com/paper/centernet-object-detection-with-keypoint"
} | 2,000 | http://arxiv.org/abs/1904.08189v3 | CenterNet: Keypoint Triplets for Object Detection | https://github.com/Duankaiwen/CenterNet/blob/435b86aa602a4d28768c192884173727d4b45ea2/models/CenterNet-104.py#L106 | 46 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Pooling Operations"
}
] |
https://paperswithcode.com/method/cnn-bilstm | CNN BiLSTM | CNN Bidirectional LSTM | A **CNN BiLSTM** is a hybrid bidirectional [LSTM](https://paperswithcode.com/method/lstm) and CNN architecture. In the original formulation applied to named entity recognition, it learns both character-level and word-level features. The CNN component is used to induce the character-level features. For each word the mod... | {
"title": "Named Entity Recognition with Bidirectional LSTM-CNNs",
"url": "https://paperswithcode.com/paper/named-entity-recognition-with-bidirectional"
} | 2,000 | http://arxiv.org/abs/1511.08308v5 | Named Entity Recognition with Bidirectional LSTM-CNNs | null | 22 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Bidirectional Recurrent Neural Networks"
}
] |
https://paperswithcode.com/method/pipelined-backpropagation | Pipelined Backpropagation | Pipelined Backpropagation | **Pipelined Backpropagation** is an asynchronous pipeline parallel training algorithm. It was first introduced by Petrowski et al (1993). It avoids fill and drain overhead by updating the weights without draining the pipeline first. This results in weight inconsistency, the use of different weights on the forward and b... | {
"title": "Pipelined Backpropagation at Scale: Training Large Models without Batches",
"url": "https://paperswithcode.com/paper/pipelined-backpropagation-at-scale-training"
} | 2,000 | https://arxiv.org/abs/2003.11666v3 | Pipelined Backpropagation at Scale: Training Large Models without Batches | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Asynchronous Pipeline Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Model Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
https://paperswithcode.com/method/faqs-process-what-is-the-phone-number-for-2 | [[FAQS--Process]] What is the phone number for Regent Seven Seas Cruises? | [[FAQS--Process]] What is the phone number for Regent Seven Seas Cruises? | The main phone number for Regent Seven Seas Cruises reservations, which can be used for cancellations, is +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). They also have a general reservations line at +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). These lines are typically available weekdays from 8:00 am to 8:00 pm EST... | {
"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-stateroom-can-you-call-a-cruise-ship | [[FAQS-StateRoom]] Can you call a cruise ship directly? | [[FAQS-StateRoom]] Can you call a cruise ship directly? | You can make ship-to-shore calls from your stateroom, 24 hours a day. The cost is $7.95 USD per minute and will be automatically charged to your SeaPass account. Your friends and family can contact the ship by calling +1-855-732-4023 or +44-289-708-0062(UK). Or from outside the U.S. they can call +1-855-732-4023 or +44... | {
"title": "0/1 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/22-ways-to-call-how-do-i-cancel-my-norwegian | 22 Ways to Call How do i cancel my Norwegian Cruises drink packages: A Full Support Guide | 22 Ways to Call How do i cancel my Norwegian Cruises drink packages: A Full Support Guide | Norwegian'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:
Norwegian International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"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/call-now-what-is-the-24-hour-rule-for-copa | ((CALL NOW))What is the 24 hour rule for Copa Airlines? | ((CALL NOW))What is the 24 hour rule for Copa Airlines? | Copa Airlines, ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ like other airlines operating in the US, adheres to the US Department of Transportation's 24-hour rule ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. This means that for flights to, from, or within the US, passengers can cancel their booking within 24 hours o... | {
"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/monet | MoNet | Mixture model network | Mixture model network (MoNet) is a general framework allowing to design convolutional deep architectures on non-Euclidean domains such as graphs and manifolds.
Image and description from: [Geometric deep learning on graphs and manifolds using mixture model CNNs](https://arxiv.org/pdf/1611.08402.pdf) | {
"title": "Geometric deep learning on graphs and manifolds using mixture model CNNs",
"url": "https://paperswithcode.com/paper/geometric-deep-learning-on-graphs-and"
} | 2,000 | http://arxiv.org/abs/1611.08402v3 | Geometric deep learning on graphs and manifolds using mixture model CNNs | 25 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
https://paperswithcode.com/method/what-is-the-regent-refund-policy-regent-seven | What is the Regent refund policy? ((Regent Seven Seas Cruise Number)) | What is the Regent refund policy? ((Regent Seven Seas Cruise Number)) | Regent University's refund policy varies depending on the context (e.g., courses, housing, events, etc.). Generally, students dropping courses within the first two weeks are entitled to a refund, with specific terms related to housing outlined in the housing contract.
To get in touch with Regent Seven Seas Cruises r... | {
"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/deformable-convolution | Deformable Convolution | Deformable Convolution | **Deformable convolutions** add 2D offsets to the regular grid sampling locations in the standard [convolution](https://paperswithcode.com/method/convolution). It enables free form deformation of the sampling grid. The offsets are learned from the preceding feature maps, via additional convolutional layers. Thus, the d... | {
"title": "Deformable Convolutional Networks",
"url": "https://paperswithcode.com/paper/deformable-convolutional-networks"
} | 2,000 | http://arxiv.org/abs/1703.06211v3 | Deformable Convolutional Networks | https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/blob/2f57c5db49161bd6c899670a5e4fba50e6b8fd26/modules/deform_conv.py#L10 | 152 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] |
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