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/contact-us-how-do-i-connect-to-united | [Contact~us]How do I connect to United Airlines? | [Contact~us]How do I connect to United Airlines? | To connect to United Airlines’ in-flight Wi-Fi,1-801-(855)-5905 or +1-801-(855)-5905. first, ensure your device is in airplane mode with Wi-Fi enabled. Then,1-801-(855)-5905 or +1-801-(855)-5905. find and connect to the “United Wi-Fi” network. Open a browser and navigate to unitedwifi.com. From there,1-801-(855)-5905 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"
}
] |
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"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/way-to-ask-how-do-i-ask-a-question-on-alaska | 【Way_To_Ask】 How do I ask a question on Alaska Airlines? | 【Way_To_Ask】 How do I ask a question on Alaska Airlines? | To ask a question on Alaska Airlines call +1-801-(855)-(5905)or +1-804-853-9001, the best way is to contact their customer service through their website, mobile app, or by phone +1-801-(855)-(5905)or +1-804-853-9001. You can also utilize their AI-powered chat assistant, "Ask Alaska", for quick answers to common questio... | {
"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",
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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",
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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 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": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed",
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{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-is-the-cheapest-month-to-go-on-a-1 | What is the cheapest month to go on a Carnival cruise? @ship-booking | What is the cheapest month to go on a Carnival cruise? @ship-booking | To find the cheapest time to go on a Carnival cruise, look at these months:
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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 Representations"
}
] |
https://paperswithcode.com/method/bi3d | Bi3D | Bi3D | **Bi3D** is a stereo depth estimation framework that estimates depth via a series of binary classifications. Rather than testing if objects are at a particular depth *D*, as existing stereo methods do, it classifies them as being closer or farther than *D*. It takes the stereo pair and a disparity $d\_{i}$ and produces... | {
"title": "Bi3D: Stereo Depth Estimation via Binary Classifications",
"url": "https://paperswithcode.com/paper/bi3d-stereo-depth-estimation-via-binary"
} | 2,000 | https://arxiv.org/abs/2005.07274v2 | Bi3D: Stereo Depth Estimation via Binary Classifications | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Stereo Depth Estimation Models"
}
] |
https://paperswithcode.com/method/travel-guide-r-what-is-the-24-hour-rule-for-1 | "Travel Guide®" What is the 24 hour rule for Copa Airlines? | "Travel Guide®" What is the 24 hour rule for Copa Airlines? | Copa Airlines, like many airlines,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 has a 24-hour rule that allows passengers to cancel their flight booking for a full refund within 24 hours of the initial purchase, provided the booking was made at least seven days before the scheduled departure date📞+1-801-(855)-(5905) ... | {
"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/positional-encoding-generator | Positional Encoding Generator | Positional Encoding Generator | **Positional Encoding Generator**, or **PEG**, is a module used in the [Conditional Position Encoding](https://paperswithcode.com/method/conditional-positional-encoding) position embeddings. It dynamically produce the positional encodings conditioned on the local neighborhood of an input token. To condition on the loca... | {
"title": "Conditional Positional Encodings for Vision Transformers",
"url": "https://paperswithcode.com/paper/do-we-really-need-explicit-position-encodings"
} | 2,000 | https://arxiv.org/abs/2102.10882v3 | Conditional Positional Encodings for Vision Transformers | 8 | [
{
"area": "General",
"area_id": "general",
"collection": "Miscellaneous Components"
}
] | |
https://paperswithcode.com/method/24-hours-phone-number-is-expedia-customer | [[24-hours phone number]Is Expedia customer service 24 hours phone number? | [[24-hours phone number]Is Expedia customer service 24 hours phone number? | To speak with Expedia customer service, you can call 1-800-EXPEDIA (+1-805-330-4056..). You can also contact Expedia customer service via their customer support page and virtual agent.+1-888-829-0881 If you need to cancel a flight, you can do so on Expedia up to 24 hours before the scheduled departure time +1-888-829-0... | {
"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/representative-q-a-are-alaska-airlines | [Representative]~Q@A_Are Alaska Airlines tickets transferable? | [Representative]~Q@A_Are Alaska Airlines tickets transferable? | Generally,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Alaska Airlines tickets are not transferable to another person. Each ticket is issued to a specific passenger and is tied to ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ their identity for security and verification purposes. | {
"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 Representations"
}
] |
https://paperswithcode.com/method/cabinet | CABiNet | Context Aggregated Bi-lateral Network for Semantic Segmentation | With the increasing demand of autonomous systems, pixelwise semantic segmentation for visual scene understanding needs to be not only accurate but also efficient for potential real-time applications. In this paper, we propose Context Aggregation Network, a dual branch convolutional neural network, with significantly lo... | null | 2,000 | null | null | null | 23 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Models"
}
] |
https://paperswithcode.com/method/bigbigan | BigBiGAN | BigBiGAN | **BigBiGAN** is a type of [BiGAN](https://paperswithcode.com/method/bigan) with a [BigGAN](https://paperswithcode.com/method/biggan) image generator. The authors initially used [ResNet](https://paperswithcode.com/method/resnet) as a baseline for the encoder $\mathcal{E}$ followed by a 4-layer MLP with skip connections,... | {
"title": "Large Scale Adversarial Representation Learning",
"url": "https://paperswithcode.com/paper/large-scale-adversarial-representation"
} | 2,000 | https://arxiv.org/abs/1907.02544v2 | Large Scale Adversarial Representation Learning | https://github.com/LEGO999/BigBiGAN-TensorFlow2.0/blob/master/model_small.py | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "G... |
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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/sppf-amp | SPPF-AMP | Amplified Spatial Pyramid Pooling Fast | In our proposed model, SPPF-AMP, besides passing the output of the convolutional layer from a sequence of max pooling layers with kernel sizes of 5, it is also passed through two average pooling layers with kernel sizes of 9 and 13. Then the output of each max pooling layer, each average pooling layer, and the convolut... | {
"title": "Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules",
"url": "https://paperswithcode.com/paper/inception-yolo-computational-cost-and"
} | 2,000 | https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ipr2.13077 | Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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{
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{
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{
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{
"area": "General",
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}
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{
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{
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}
] |
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{
"area": "Computer Vision",
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{
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{
"area": "General",
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}
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{
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{
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{
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{
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{
"area": "Computer Vision",
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{
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"title": "Graph-to-Tree Learning for Solving Math Word Problems",
"url": "https://paperswithcode.com/paper/graph-to-tree-learning-for-solving-math-word"
} | 2,000 | https://aclanthology.org/2020.acl-main.362 | Graph-to-Tree Learning for Solving Math Word Problems | null | 4 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Sequence To Sequence Models"
}
] | |
https://paperswithcode.com/method/faq-support-r-is-air-france-open-on-24 | [FAQ-suPport®]Is Air France open on 24? | [FAQ-suPport®]Is Air France open on 24? | Yes,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ Air France provides 24/7 customer support. They offer various channels for assistance, including phone,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ live chat, and social media. While not all airport counters or local offices are open around the clock, key digital and p... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/does-lufthansa-airlines-compensate-for | [Booked~Ex]Can I change my flight if I booked on Expedia? | [Booked~Ex]Can I change my flight if I booked on Expedia? | Expedia ' cancellation policy allows you to cancel a flight within 24 hours of Booking for a full refund, as long as the departure is at least 7 days away. Cancellations after 24 hours may incur fees. For more details, contact customer care at ☎️+1-(805)-330-(4056) ⌛ or ☎️+1-(805)-330-(4056) ⌛
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/23-ways-to-dial-how-do-i-purchase-beverage | 23 Ways to Dial How do i purchase beverage packages for Norwegian Cruises: A Full Support Guide | 23 Ways to Dial How do i purchase beverage packages for Norwegian Cruises: 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:
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Regarding a recent cruise ex... | {
"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Reconstruction"
}
] |
https://paperswithcode.com/method/adaptive-softmax | Adaptive Softmax | Adaptive Softmax | **Adaptive Softmax** is a speedup technique for the computation of probability distributions over words. The adaptive [softmax](https://paperswithcode.com/method/softmax) is inspired by the class-based [hierarchical softmax](https://paperswithcode.com/method/hierarchical-softmax), where the word classes are built to mi... | {
"title": "Efficient softmax approximation for GPUs",
"url": "https://paperswithcode.com/paper/efficient-softmax-approximation-for-gpus"
} | 2,000 | http://arxiv.org/abs/1609.04309v3 | Efficient softmax approximation for GPUs | https://github.com/rosinality/adaptive-softmax-pytorch/blob/2f02ca68d34f83867bea385c4be23a5392823f1e/adasoft.py#L6 | 72 | [
{
"area": "General",
"area_id": "general",
"collection": "Output Functions"
}
] |
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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"
}
] |
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"title": "0-1 phase transitions in sparse spiked matrix estimation",
"url": "https://paperswithcode.com/paper/0-1-phase-transitions-in-sparse-spiked-matrix"
} | 2,000 | https://arxiv.org/abs/1911.05030v1 | 0-1 phase transitions in sparse spiked matrix estimation | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/deformable-detr | Deformable DETR | Deformable DETR | **Deformable DETR** is an object detection method that aims mitigates the slow convergence and high complexity issues of [DETR](https://www.paperswithcode.com/method/detr). It combines the best of the sparse spatial sampling of [deformable convolution](https://paperswithcode.com/method/deformable-convolution), and the ... | {
"title": "Deformable DETR: Deformable Transformers for End-to-End Object Detection",
"url": "https://paperswithcode.com/paper/deformable-detr-deformable-transformers-for-1"
} | 2,000 | https://arxiv.org/abs/2010.04159v4 | Deformable DETR: Deformable Transformers for End-to-End Object Detection | 35 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Object Detection Models"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/manifold-mixup | Manifold Mixup | Manifold Mixup | **Manifold Mixup** is a regularization method that encourages neural networks to predict less confidently on interpolations of hidden representations. It leverages semantic interpolations as an additional training signal, obtaining neural networks with smoother decision boundaries at multiple levels of representation. ... | {
"title": "Manifold Mixup: Better Representations by Interpolating Hidden States",
"url": "https://paperswithcode.com/paper/manifold-mixup-better-representations-by"
} | 2,000 | https://arxiv.org/abs/1806.05236v7 | Manifold Mixup: Better Representations by Interpolating Hidden States | https://github.com/vikasverma1077/manifold_mixup/blob/118ec709808b79dd336b10f4cf7deeacf541dfc7/supervised/models/resnet.py#L98 | 26 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
https://paperswithcode.com/method/polyak-averaging | Polyak Averaging | Polyak Averaging | **Polyak Averaging** is an optimization technique that sets final parameters to an average of (recent) parameters visited in the optimization trajectory. Specifically if in $t$ iterations we have parameters $\theta\_{1}, \theta\_{2}, \dots, \theta\_{t}$, then Polyak Averaging suggests setting
$$ \theta\_t =\frac{1}... | null | 1,991 | null | null | null | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
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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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] | |
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/droppathway | DropPathway | DropPathway | **DropPathway** randomly drops an audio pathway during training as a regularization technique for audiovisual recognition models. Specifically, at each training iteration, we drop the Audio pathway altogether with probability $P\_{d}$. This way, we slow down the learning of the Audio pathway and make its learning dyna... | {
"title": "Audiovisual SlowFast Networks for Video Recognition",
"url": "https://paperswithcode.com/paper/audiovisual-slowfast-networks-for-video"
} | 2,000 | https://arxiv.org/abs/2001.08740v2 | Audiovisual SlowFast Networks for Video Recognition | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] | |
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"title": "PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond",
"url": "https://paperswithcode.com/paper/polarmask-enhanced-polar-representation-for"
} | 2,000 | https://arxiv.org/abs/2105.02184v1 | PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Instance Segmentation Modules"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/qhadam | QHAdam | QHAdam | The **Quasi-Hyperbolic Momentum Algorithm (QHM)** is a simple alteration of [momentum SGD](https://paperswithcode.com/method/sgd-with-momentum), averaging a plain [SGD](https://paperswithcode.com/method/sgd) step with a momentum step. **QHAdam** is a QH augmented version of [Adam](https://paperswithcode.com/method/adam... | {
"title": "Quasi-hyperbolic momentum and Adam for deep learning",
"url": "https://paperswithcode.com/paper/quasi-hyperbolic-momentum-and-adam-for-deep"
} | 2,000 | http://arxiv.org/abs/1810.06801v4 | Quasi-hyperbolic momentum and Adam for deep learning | https://github.com/jettify/pytorch-optimizer/blob/155246597d66dd774156599be0f07a8c6f7758aa/torch_optimizer/qhadam.py#L10 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
}
] |
https://paperswithcode.com/method/can-i-cancel-my-carnival-cruise-and-get-a | Can I cancel my Carnival cruise and get a refund? @non-refundable | Can I cancel my Carnival cruise and get a refund? @non-refundable | Yes, you can cancel your Carnival cruise, but whether you'll receive a full refund depends on when you cancel and the type of fare you booked. Generally, if you cancel before the final payment date, you can receive a full refund (excluding potential non-refundable deposits). After the final payment date, cancellation f... | {
"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-do-i-talk-to-a-real-person-at-lufthansa | How Do I Talk to a Real Person at Lufthansa Airlines? | How Do I Talk to a Real Person at Lufthansa Airlines? | Many travelers want to bypass automated menus and speak directly to a real Lufthansa Airlines customer service representative. 📞+1 (877) 443-8285 is the best number to call for immediate access to live agents who can handle reservations, cancellations, baggage issues, or special requests. The key to reaching a real pe... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
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"title": "0-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": "6D Pose Estimation 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"
}
] |
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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": "You Only Look Once: Unified, Real-Time Object Detection",
"url": "https://paperswithcode.com/paper/you-only-look-once-unified-real-time-object"
} | 2,000 | http://arxiv.org/abs/1506.02640v5 | You Only Look Once: Unified, Real-Time Object Detection | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-number-is-305-599-2600 | What number is 305 599 2600? | What number is 305 599 2600? | The number 305‑599‑2600 /1-855-732-4023 or 1-808-900-8011 is the main line for Carnival Cruise Corporation’s Miami headquarters. It serves multiple purposes from general inquiries about bookings 44-289-708-0062 UK, pre- and post-cruise support, marketing, and investor relations and is used both domestically and intern... | {
"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-do-i-contact-carnival-about-booking-ways | How do I contact Carnival about booking?➡️Ways-to-Contact | How do I contact Carnival about booking?➡️Ways-to-Contact | Way to contact carnival cruise cancellation phone number?
To contact Carnival Cruise Line to cancel your cruise, you can call their customer service number at +1-855-732-4023
. Their customer service is available Monday-Friday from 9 AM to 10 PM ET, and Saturday-Sunday from 9 AM to 6 PM ET.
To contact Carnival Crui... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/child-tuning | Child-Tuning | Child-Tuning | **Child-Tuning** is a fine-tuning technique that updates a subset of parameters (called child network) of large pretrained models via strategically masking out the gradients of the non-child network during the backward process. It decreases the hypothesis space of the model via a task-specific mask applied to the full ... | {
"title": "Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning",
"url": "https://paperswithcode.com/paper/raise-a-child-in-large-language-model-towards"
} | 2,000 | https://arxiv.org/abs/2109.05687v1 | Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Fine-Tuning"
}
] |
https://paperswithcode.com/method/spirit-airlines-telefono-como-puedo-hablar | [ Spirit airlines teléfono ]¿Cómo puedo hablar con alguien en Spirit Airlines? | ¿Cómo puedo hablar con alguien en Spirit Airlines? | Para solicitar asistencia con Spirit Airlines+1-808-(470)-(7107), puedes contactarlos a través de su sitio web☎️+1-808-(470)-(7107), llamando a su centro de contacto o utilizando su servicio de chat en vivo+1-808-(470)-(7107)✅. También es posible solicitar asistencia específica, como para personas con discapacidad o me... | {
"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/what-is-the-phone-number-for-carnival | What is the phone number for Carnival reservations?@Cruises®️USA Contact Numbers | What is the phone number for Carnival reservations?@Cruises®️USA Contact Numbers | Way to contact carnival cruise cancellation phone number?
To contact Carnival Cruise Line to cancel your cruise, you can call their customer service number at +1-855-732-4023
. Their customer service is available Monday-Friday from 9 AM to 10 PM ET, and Saturday-Sunday from 9 AM to 6 PM ET.
To contact Carnival Crui... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/hunger-games-search-hgs | HGS | Hunger Games Search | **Hunger Games Search (**HGS**)** is a general-purpose population-based optimization technique with a simple structure, special stability features and very competitive performance to realize the solutions of both constrained and unconstrained problems more effectively. HGS is designed according to the hunger-driven act... | null | 2,000 | null | null | https://aliasgharheidari.com/HGS.html | 12 | [
{
"area": "General",
"area_id": "general",
"collection": "Stochastic Optimization"
},
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/blip | BLIP | BLIP: Bootstrapping Language-Image Pre-training | Vision-Language Pre-training (VLP) has advanced the performance for many vision-language tasks. However, most existing pre-trained models only excel in either understanding-based tasks or generation-based tasks. Furthermore, performance improvement has been largely achieved by scaling up the dataset with noisy image-te... | {
"title": "BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation",
"url": "https://paperswithcode.com/paper/blip-bootstrapping-language-image-pre"
} | 2,000 | https://arxiv.org/abs/2201.12086v2 | BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation | 93 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] | |
https://paperswithcode.com/method/robinhood-24-7-customer-support | RobiNhOOd 24/7 Customer Support | RobiNhOOd 24/7 Customer Support – Talk to a Real Person Anytime | If you're facing issues with your RobiNhOOd account, immediate support is just a call away. RobiNhOOd offers 24/7 phone support through its toll-free number +1-855-574-4697. By calling this number, you can speak directly with a live representative to resolve problems related to account access, wallet errors, transactio... | {
"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-cancel-my-viking-cruise-customer | How do I cancel my Viking cruise? (Customer service Number)) | How do I cancel my Viking cruise? (Customer service Number)) | Yes, Viking Cruises offers a "Cancel For Any Reason" benefit within their Travel Protection Plan +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). This benefit, purchased within 14 days of your initial deposit, allows you to cancel your Viking cruise before departure for any reason +1-855-732-4023 (USA) OR +44-289-708-00... | {
"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/28-ways-to-call-how-do-i-cancel-my-celebrity | 28 Ways to Call How do i cancel my Celebrity Cruises drink packages: A Full Support Guide | 28 Ways to Call How do i cancel my Celebrity Cruises drink packages: A Full Support Guide | Celebrity'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:
Celebrity International customer service: Call (855) 732-4023 or email RoyalGuestRelations@rccl.com.
Regarding a recent cruise ex... | {
"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-viking-cruises-customer | How do I contact Viking Cruises customer service? (Refund-Or-Cancellation)) | How do I contact Viking Cruises customer service? (Refund-Or-Cancellation)) | Yes, Viking Cruises offers a "Cancel For Any Reason" benefit within their Travel Protection Plan +1-855-732-4023 (USA) OR +44-289-708-0062 (UK). This benefit, purchased within 14 days of your initial deposit, allows you to cancel your Viking cruise before departure for any reason +1-855-732-4023 (USA) OR +44-289-708-00... | {
"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/solicitud-telefono-como-hablo-con-una-persona | {Solicitud~Teléfono}¿Cómo hablo con una persona real en JetBlue Airways? | {Solicitud~Teléfono}¿Cómo hablo con una persona real en JetBlue Airways? | Para hablar con una persona real en JetBlue, puedes llamar a su número de atención al cliente. En Estados Unidos, puedes marcar el 1-800-JETBLUE (+1-(808)-470-7107). También puedes encontrar números de teléfono específicos para otras regiones o para asistencia en español en su página web de contacto. | {
"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/drink-package-can-i-cancel-my-royal-caribbean | {Drink Package}Can I cancel my Royal Caribbean cruise drink package? | {Drink Package}Can I cancel my Royal Caribbean cruise drink package? | Yes, you can cancel your Royal Caribbean cruise drink package 1-800-950-4401(US)/ +44 (20) 39003980(UK). If you cancel before the cruise begins, you’ll receive a full refund to your original payment method. Cancellations can be made easily through the Cruise Planner on the Royal Caribbean website 1-800-950-4401(US)/ +4... | {
"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/sdd-segmentation | SDD-Segmentation | Slope Difference Distribution Segmentation | {
"title": "A New Approach for Segmentation and Quantification of Cells or Nanoparticles",
"url": "https://paperswithcode.com/paper/a-new-approach-for-segmentation-and"
} | 2,000 | https://ieeexplore.ieee.org/document/7433448/authors | A New Approach for Segmentation and Quantification of Cells or Nanoparticles | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Semantic Segmentation Modules"
}
] | |
https://paperswithcode.com/method/ways-to-speak-cual-es-el-dia-mas-barato-para | [[Ways-to-Speak]]~¿Cuál es el día más barato para volar en American Airlines? | [[Ways-to-Speak]]~¿Cuál es el día más barato para volar en American Airlines? | 𝘓𝘰𝘴 𝘥í𝘢𝘴 𝘮á𝘴 𝘣𝘢𝘳𝘢𝘵𝘰𝘴 𝘱𝘢𝘳𝘢 𝘷𝘰𝘭𝘢𝘳 𝘤𝘰𝘯 𝘈𝘮𝘦𝘳𝘪𝘤𝘢𝘯 𝘈𝘪𝘳𝘭𝘪𝘯𝘦𝘴 𝘴𝘶𝘦𝘭𝘦𝘯 𝘴𝘦𝘳 𝘭𝘰𝘴 𝘮𝘢𝘳𝘵𝘦𝘴 𝘺 𝘮𝘪é𝘳𝘤𝘰𝘭𝘦𝘴 +1➤808➤470➤7107 (𝘔𝘦𝘹𝘪𝘤𝘰) 𝘰 𝘢𝘭 +1➤808➤470➤7107 (𝘌𝘌. 𝘜𝘜) (𝘙𝘦𝘪𝘯𝘰 𝘜𝘯𝘪𝘥𝘰)]. 𝘙𝘦𝘴𝘦𝘳𝘷𝘢𝘳 𝘤𝘰𝘯 𝘢𝘯𝘵𝘪𝘤𝘪𝘱𝘢𝘤𝘪ó𝘯 𝘺 𝘷𝘰𝘭𝘢𝘳 𝘦𝘯𝘵... | {
"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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