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/faqs-guide-can-i-cancel-a-disney-cruise | [Faqs`Guide]Can I cancel a Disney cruise without penalty? | [Faqs`Guide]Can I cancel a Disney cruise without penalty? | You can cancel a Disney cruise without penalty if you do so within a specific timeframe before your sailing date.+1-855-732-4023 (USA) The cancellation policy depends on the length of your cruise. For cruises of five nights or less,1-808-900-8011 you'll receive a refund if you cancel at least 90 days before the sail d... | {
"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"
}
] |
https://paperswithcode.com/method/1-801855-59-05-how-to-escalate-a-united | +1=801❇855||59|05.]]]How to escalate a United Airlines complaint? | +1=801❇855||59|05.]]]How to escalate a United Airlines complaint? | 𝐁𝐞 𝐬𝐮𝐫𝐞 𝐭𝐨 𝐠𝐞𝐭 𝐚 𝐜𝐚𝐬𝐞 𝐧𝐮𝐦𝐛𝐞𝐫 𝐟𝐨𝐫 𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞. 𝐈𝐟 𝐲𝐨𝐮𝐫 𝐢𝐬𝐬𝐮𝐞 𝐫𝐞𝐦𝐚𝐢𝐧𝐬 𝐮𝐧𝐫𝐞𝐬𝐨𝐥𝐯𝐞𝐝, 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐟𝐢𝐥𝐞 𝐚 𝐟𝐨𝐫𝐦𝐚𝐥 𝐜𝐨𝐦𝐩𝐥𝐚𝐢𝐧𝐭 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐔𝐧𝐢𝐭𝐞𝐝 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐮𝐬𝐢𝐧𝐠 𝐭𝐡𝐞𝐢𝐫 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐟𝐨𝐫𝐦, 𝐛𝐮𝐭... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/experts-guide-how-to-speak-directly-at-latam | [Experts~Guide]How to speak directly at LATAM Airlines? | [Experts~Guide]How to speak directly at LATAM Airlines? | To contact a live LATAM Airlines representative, dial 1 (801) – 855 – 5905 (U.S./Canada) or 1 (804) – 853 – 9001 (U.K.). Select the option for a live agent (press 0) or use voice prompts. For shorter wait times, consider the Spanish-language option. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-royal-caribbean-customer | How do I contact Royal Caribbean Customer Service? FAQS--Inquiries | How do I contact Royal Caribbean Customer Service? FAQS--Inquiries | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +1-808-900-8011. You can also manage your booking and potentially find cancellation information on their website.
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/relu | ReLU | *Communicated@Fast*How Do I Communicate to Expedia? | How Do I Communicate to Expedia?
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{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] | |
https://paperswithcode.com/method/instant-help-24-7-what-is-the-24-hour-rule | [Instant help 24/7]~What is the 24 hour rule for KLM? | [Instant help 24/7]~What is the 24 hour rule for KLM? | KLM's 24-hour rule allows ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ passengers to cancel or modify their flight booking within 24 hours of purchase without any penalty, provided the flight was booked at least 7 days before departure ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. This applies to tickets purchased di... | {
"title": "0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera",
"url": "https://paperswithcode.com/paper/moms-with-events-multi-object-motion"
} | 2,000 | https://arxiv.org/abs/2006.06158v2 | 0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera | null | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Action Recognition Models"
}
] |
https://paperswithcode.com/method/dispute-service-how-do-i-file-a-dispute-with-1 | Dispute@service!!How do I file a dispute with Expedia? | Dispute@service!!How do I file a dispute with Expedia? | How do I file a dispute with Expedia? To file a dispute with Expedia, contact their customer support at +1➤805➢330➤4056 or +1-805::330::4056 Clearly explain your issue with all booking details. If unresolved, escalate to a supervisor, use online chat or email, and consider filing a complaint with the BBB or disputing t... | {
"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-united-cover-cancellations | Does United cover cancellations? | Does United cover cancellations? (FAQ's) | 𝐃𝐨𝐞𝐬 𝐔𝐧𝐢𝐭𝐞𝐝 𝐜𝐨𝐯𝐞𝐫 𝐜𝐚𝐧𝐜𝐞𝐥𝐥𝐚𝐭𝐢𝐨𝐧𝐬?
𝐘𝐞𝐬, 𝐔𝐧𝐢𝐭𝐞𝐝 𝐀𝐢𝐫𝐥𝐢𝐧𝐞𝐬 𝐦𝐚𝐲 𝐜𝐨𝐯𝐞𝐫 𝐜𝐚𝐧𝐜𝐞𝐥𝐥𝐚𝐭𝐢𝐨𝐧𝐬, 𝐛𝐮𝐭 𝐭𝐡𝐞 𝐭𝐲𝐩𝐞 𝐨𝐟 𝐜𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐨𝐫 𝐜𝐨𝐯𝐞𝐫𝐚𝐠𝐞 𝐲𝐨𝐮 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐝𝐞𝐩𝐞𝐧𝐝𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐜𝐚𝐮𝐬𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐚𝐧𝐜𝐞𝐥𝐥𝐚𝐭𝐢𝐨𝐧 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/experts-guide-what-is-the-cheapest-day-to-fly-2 | [Experts~Guide]What is the cheapest day to fly to Hawaii? | [Experts~Guide]What is the cheapest day to fly to Hawaii? | While Tuesdays and Wednesdays are typically the cheapest days to fly ☎️+1 (801) 855-5905 or +1 (804) 853-9001✅, Fridays and Sundays are usually the most expensive, according to a review of data from travel websites including Google Flights ☎️+1 (801) 855-5905 or +1 (804) 853-9001✅, CheapAir.com, Hopper and Kayak. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-royal-caribbean-customer-1 | How do I contact Royal Caribbean customer service by phone? Quick-Help | How do I contact Royal Caribbean customer service by phone? Quick-Help | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +1-808-900-8011. You can also manage your booking and potentially find cancellation information on their website.
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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/calling-customer-contact-us-how-do-i-connect | calling customer Contact~us!!How do I connect with someone on Qatar Airways? | calling customer Contact~us!!How do I connect with someone on Qatar Airways? | To connect with someone at Qatar Airways, ☎️+1-801-(855)-(5905)or +1-804-853-9001✅✈️ you can contact their customer service team via phone, live chat, email, or social media ☎️+1-801-(855)-(5905)or +1-804-853-9001✅✈️ The fastest way to speak with a live agent is by calling their customer support number ☎️+1-801-(855)-(... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/human-support-how-do-i-connect-with-people-on | [[Human!!!Support$]]How do I connect with people on Expedia? Representative- Lawsuit Against | [[Human!!!Support$]]How do I connect with people on Expedia? Representative- Lawsuit Against | [[Human!!!Support$]]How to escalate an issue with 𝙀𝙭𝙥𝙚𝙙𝙞𝙖?Representative- Lawsuit Against
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/what-number-do-i-call-to-cancel-my-royal-2 | What number do I call to cancel my Royal Caribbean cruise? FAQS--Service | What number do I call to cancel my Royal Caribbean cruise? FAQS--Service | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +1-808-900-8011. You can also manage your booking and potentially find cancellation information on their website.
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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/ulmfit | ULMFiT | Universal Language Model Fine-tuning | **Universal Language Model Fine-tuning**, or **ULMFiT**, is an architecture and transfer learning method that can be applied to NLP tasks. It involves a 3-layer [AWD-LSTM](https://paperswithcode.com/method/awd-lstm) architecture for its representations. The training consists of three steps: 1) general language model pr... | {
"title": "Universal Language Model Fine-tuning for Text Classification",
"url": "https://paperswithcode.com/paper/universal-language-model-fine-tuning-for-text"
} | 2,000 | http://arxiv.org/abs/1801.06146v5 | Universal Language Model Fine-tuning for Text Classification | 40 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Language Models"
}
] | |
https://paperswithcode.com/method/guide-agenttm-how-do-i-complain-to-seabourn | [Guide~Agent™]How do I complain to Seabourn? | [Guide~Agent™]How do I complain to Seabourn? | To complain to Seabourn, you can start by contacting their Guest Relations department via email at guestrelations@seabourn.com or by phone at +1-(855)-732-4023. If you prefer, you can also submit a formal complaint through their website's contact form, or through the Feedback feature on the My Seabourn portal. For more... | {
"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/dra | DRA | Dynamic Range Activator | Recursive functions with **heteroscedasticity, sparse and high-variance** target distributions introduces a huge complexity that makes their accurate modeling with Neural Networks a difficult task. A main property of recursive maps (e.g factorial function), is their dramatic growth and drop. Learning this recursive beh... | {
"title": "Can Transformers Do Enumerative Geometry?",
"url": "https://paperswithcode.com/paper/can-transformers-do-enumerative-geometry"
} | 2,000 | https://arxiv.org/abs/2408.14915v3 | Can Transformers Do Enumerative Geometry? | https://github.com/Baran-phys/DynamicFormer | 4 | [
{
"area": "General",
"area_id": "general",
"collection": "Activation Functions"
}
] |
https://paperswithcode.com/method/ways-to-access-viking-cruises-r-fast-support | Ways to Access viking Cruises®️ Fast Support Guide 2025 | Ways to Access viking Cruises®️ Fast Support Guide 2025 | Planning a viking Cruises is exciting +1-855-732-4023 but sometimes unforeseen events force a change in plans +1-855-732-4023 and you may need to cancel your viking Cruises booking. Whether you’re facing a +1-855-732-4023 medical emergency, schedule change, or simply rethinking your trip +1-855-732-4023 viking 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/dispute-service-how-do-i-dispute-a-charge-on | !!~Dispute-Service~!!How do I dispute a charge on Expedia? | !!~Dispute-Service~!!How do I dispute a charge on Expedia? | To file a complaint with Expedia, start by contacting their customer service 1-805(330)4056 via phone at +1-805(330)4056 or through their website or app
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/deepcluster | DeepCluster | DeepCluster | **DeepCluster** is a self-supervision approach for learning image representations. DeepCluster iteratively groups the features with a standard clustering algorithm, k-means, and uses the subsequent assignments as supervision to update
the weights of the network | {
"title": "Deep Clustering for Unsupervised Learning of Visual Features",
"url": "https://paperswithcode.com/paper/deep-clustering-for-unsupervised-learning-of"
} | 2,000 | http://arxiv.org/abs/1807.05520v2 | Deep Clustering for Unsupervised Learning of Visual Features | 10 | [
{
"area": "General",
"area_id": "general",
"collection": "Self-Supervised Learning"
}
] | |
https://paperswithcode.com/method/can-you-get-a-better-deal-by-calling-royal | Can you get a better deal by calling Royal Caribbean? FAQS--Arrangements | Can you get a better deal by calling Royal Caribbean? FAQS--Arrangements | The Royal Caribbean cancellation phone number is not provided in the search results. However, it's recommended to call their customer service line at +1-855-732-4023 or +1-808-900-8011. You can also manage your booking and potentially find cancellation information on their website.
To cancel a Royal Caribbean cruise... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/mpga | MPGA | Multi Prompt Gradient Alignment | {
"title": "Enhancing Domain Adaptation through Prompt Gradient Alignment",
"url": "https://paperswithcode.com/paper/enhancing-domain-adaptation-through-prompt"
} | 2,000 | https://arxiv.org/abs/2406.09353v3 | Enhancing Domain Adaptation through Prompt Gradient Alignment | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Domain Adaptation"
}
] | ||
https://paperswithcode.com/method/contact-by-phone-como-hablar-con-un-agente-en | [[Contact--By Phone]¿Cómo hablar con un agente en vivo en American? | [[Contact--By Phone]¿Cómo hablar con un agente en vivo en American? | ¿Cómo llamar a American en Estados Unidos? Para llamar a American desde Estados Unidos, marca el número de atención al cliente ☎+1→808→470→7107 (OTA). or +1➤808➤470➤7107 Este número brinda soporte en español para reservas, cambios de vuelos y otros servicios. Asegúrate de tener tu número de reserva disponible. El centr... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/mobilevit | MobileViT | MobileViT | MobileViT is a vision transformer that is tuned to mobile phone | {
"title": "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer",
"url": "https://paperswithcode.com/paper/mobilevit-light-weight-general-purpose-and"
} | 2,000 | https://arxiv.org/abs/2110.02178v2 | MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | null | 22 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Light-weight neural networks"
},
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision Transformers"
}
] |
https://paperswithcode.com/method/booking-tuesdays-wednesdays-and-saturdays | {Booking} Tuesdays, Wednesdays, and Saturdays [FAQs~HELP™] - What is the cheapest day to buy Air France tickets? | {Booking} Tuesdays, Wednesdays, and Saturdays [FAQs~HELP™] - What is the cheapest day to buy Air France tickets? | The cheapest days to fly on Air France are typically Tuesdays, Wednesdays, and Saturdays + 1-(801)-855-(5905).. These midweek and weekend slots tend to have lower demand compared to peak travel days like Fridays and Sundays, which often results in reduced Airfare + 1-(801)-855-(5905).. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
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{
"area": "General",
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}
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{
"area": "Computer Vision",
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"area": "General",
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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/faqs-24-7-help-how-do-i-contact-norwegian-by | [FAQS~24/7 Help]How do I contact Expedia by phone? | [FAQS~24/7 Help]How do I contact Expedia by phone? | For general reservations, call +1 805-330-4056.
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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"
}
] | |
https://paperswithcode.com/method/how-do-i-get-a-refund-from-expedia | How Do I Get a Refund from Expedia? | [[Get~refund]]How do I get a refund from Expedia? | How do I get a refund from Expedia?
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/drpnn | DRPNN | Deep Residual Pansharpening Neural Network | In the field of fusing multi-spectral and panchromatic images (Pan-sharpening), the impressive effectiveness of deep neural networks has been recently employed to overcome the drawbacks of traditional linear models and boost the fusing accuracy. However, to the best of our knowledge, existing research works are mainly ... | {
"title": "Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network",
"url": "https://paperswithcode.com/paper/boosting-the-accuracy-of-multi-spectral-image"
} | 2,000 | http://arxiv.org/abs/1705.07556v2 | Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network | null | 2 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] |
https://paperswithcode.com/method/targeted-dropout | Targeted Dropout | Targeted Dropout | Please enter a description about the method here | {
"title": "Learning Sparse Networks Using Targeted Dropout",
"url": "https://paperswithcode.com/paper/learning-sparse-networks-using-targeted"
} | 2,000 | https://arxiv.org/abs/1905.13678v5 | Learning Sparse Networks Using Targeted Dropout | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
https://paperswithcode.com/method/12-contact-customer-serivce-disney-cruise | 12 Contact Customer Serivce disney cruise claim by phone number | 12 Contact Customer Serivce disney cruise claim by phone number | To reach Disney Cruise Line customer service, including for claims or questions about the Disney Cruise Line Vacation Protection Plan, you can call+1-(855)-732-4023. Alternatively, you can find information or potentially initiate a claim process through the "My Reservations" section on the Disney Cruise Line website un... | {
"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/invertible-nxn-convolution | Invertible NxN Convolution | Invertible NxN Convolution | {
"title": "CInC Flow: Characterizable Invertible 3x3 Convolution",
"url": "https://paperswithcode.com/paper/cinc-flow-characterizable-invertible-3x3"
} | 2,000 | https://arxiv.org/abs/2107.01358v1 | CInC Flow: Characterizable Invertible 3x3 Convolution | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutions"
}
] | |
https://paperswithcode.com/method/deepzero | DeepZero | DeepZero | {
"title": "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training",
"url": "https://paperswithcode.com/paper/deepzero-scaling-up-zeroth-order-optimization"
} | 2,000 | https://arxiv.org/abs/2310.02025v4 | DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] | |
https://paperswithcode.com/method/cw-erm | CW-ERM | Closed-loop Weighted Empirical Risk Minimization | A closed-loop evaluation procedure is first used in a simulator to identify training data samples that are important for practical driving performance and then we these samples to help debias the policy network. | {
"title": "CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization",
"url": "https://paperswithcode.com/paper/cw-erm-improving-autonomous-driving-planning"
} | 2,000 | https://arxiv.org/abs/2210.02174v2 | CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Robust Training"
}
] |
https://paperswithcode.com/method/slamb | SLAMB | Sparse Layer-wise Adaptive Moments optimizer for large Batch training | Please enter a description about the method here | {
"title": "SLAMB: Accelerated Large Batch Training with Sparse Communication",
"url": "https://paperswithcode.com/paper/slamb-accelerated-large-batch-training-with"
} | 2,000 | https://proceedings.mlr.press/v202/xu23v.html | SLAMB: Accelerated Large Batch Training with Sparse Communication | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Large Batch Optimization"
}
] |
https://paperswithcode.com/method/full-support-does-copa-have-free-cancellation | {{FULL~suPPorT}} Does Copa have free cancellation? | {{FULL~suPPorT}} Does Copa have free cancellation? | The airline allows Copa Airlines ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ flight cancellation of any ticket within 24 hours if the reservation is put on hold during online Booking ☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅. Failure to pay within 24 hours leads to automatic cancellation. Copa Airlines offers ref... | {
"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 | 0 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/smote | SMOTE | Synthetic Minority Over-sampling Technique. | Perhaps the most widely used approach to synthesizing new examples is called the Synthetic Minority Oversampling Technique, or SMOTE for short. This technique was described by Nitesh Chawla, et al. in their 2002 paper named for the technique titled “SMOTE: Synthetic Minority Over-sampling Technique.”
SMOTE works by ... | {
"title": "SMOTE: Synthetic Minority Over-sampling Technique",
"url": "https://paperswithcode.com/paper/smote-synthetic-minority-over-sampling"
} | 2,000 | http://arxiv.org/abs/1106.1813v1 | SMOTE: Synthetic Minority Over-sampling Technique | null | 156 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Downsampling"
}
] |
https://paperswithcode.com/method/ademamix | AdEMAMix | Adaptive EMA Mixture | Please enter a description about the method here | {
"title": "The AdEMAMix Optimizer: Better, Faster, Older",
"url": "https://paperswithcode.com/paper/the-ademamix-optimizer-better-faster-older"
} | 2,000 | https://arxiv.org/abs/2409.03137v2 | The AdEMAMix Optimizer: Better, Faster, Older | null | 2 | [
{
"area": "General",
"area_id": "general",
"collection": "Optimization"
}
] |
https://paperswithcode.com/method/freeanchor | FreeAnchor | FreeAnchor | **FreeAnchor** is an anchor supervision method for object detection. Many CNN-based object detectors assign anchors for ground-truth objects under the restriction of object-anchor Intersection-over-Unit (IoU). In contrast, FreeAnchor is a learning-to-match approach that breaks the IoU restriction, allowing objects to m... | {
"title": "FreeAnchor: Learning to Match Anchors for Visual Object Detection",
"url": "https://paperswithcode.com/paper/freeanchor-learning-to-match-anchors-for"
} | 2,000 | https://arxiv.org/abs/1909.02466v2 | FreeAnchor: Learning to Match Anchors for Visual Object Detection | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Anchor Supervision"
}
] |
https://paperswithcode.com/method/universal-transformer | Universal Transformer | Universal Transformer | The **Universal Transformer** is a generalization of the [Transformer](https://paperswithcode.com/method/transformer) architecture. Universal Transformers combine the parallelizability and global receptive field of feed-forward sequence models like the Transformer with the recurrent inductive bias of [RNNs](https://pap... | {
"title": "Universal Transformers",
"url": "https://paperswithcode.com/paper/universal-transformers"
} | 2,000 | http://arxiv.org/abs/1807.03819v3 | Universal Transformers | null | 18 | [
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Autoregressive Transformers"
},
{
"area": "Natural Language Processing",
"area_id": "natural-language-processing",
"collection": "Transformers"
}
] |
https://paperswithcode.com/method/deep-sets | Deep Sets | Deep Sets | {
"title": "Deep Sets",
"url": "https://paperswithcode.com/paper/deep-sets"
} | 2,000 | http://arxiv.org/abs/1703.06114v3 | Deep Sets | null | 35 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Backbone Architectures"
}
] | |
https://paperswithcode.com/method/bigcn | BiGCN | Bi-Directional Graph Convolutional Network | {
"title": "Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks",
"url": "https://paperswithcode.com/paper/rumor-detection-on-social-media-with-bi"
} | 2,000 | https://arxiv.org/abs/2001.06362v1 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks | null | 4 | [
{
"area": "Graphs",
"area_id": "graphs",
"collection": "Graph Models"
}
] | |
https://paperswithcode.com/method/faqs-help-can-you-cancel-a-royal-caribbean | [[FAQS-Help]] Can you cancel a Royal Caribbean cruise and get your deposit back? | [[FAQS-Help]] Can you cancel a Royal Caribbean cruise and get your deposit back? | The phone number to contact Royal Caribbean customer service for cruise cancellations is 855-732-4023.
Pre-Cruise Planning Assistance: 1-855-732-4023
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It's always recommended to consult the detailed information about the cancellati... | {
"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/metrix | Metrix | Metric mixup | A generic way of representing and interpolating labels, which allows straightforward extension of any kind of [mixup](https://paperswithcode.com/method/mixup) to deep metric learning for a large class of loss functions. | {
"title": "It Takes Two to Tango: Mixup for Deep Metric Learning",
"url": "https://paperswithcode.com/paper/it-takes-two-to-tango-mixup-for-deep-metric"
} | 2,000 | https://arxiv.org/abs/2106.04990v2 | It Takes Two to Tango: Mixup for Deep Metric Learning | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "Loss Functions"
}
] |
https://paperswithcode.com/method/temporal-dropout | Temporal Dropout | Temporal Dropout or TempD | A method that randomly mask out all features coming from a specific time-step in time-series data. If the model used is independent of uneven sequences or missing data in time-series, like attention-based transformers, the masked time-steps can be just ignored in the forward prediction of the model. Otherwise, they hav... | {
"title": "Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations",
"url": "https://paperswithcode.com/paper/crop-classification-under-varying-cloud-cover"
} | 2,000 | https://arxiv.org/abs/2012.02542v2 | Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations | null | 5 | [
{
"area": "General",
"area_id": "general",
"collection": "Regularization"
}
] |
https://paperswithcode.com/method/social-media-you-how-do-i-connect-with | social media—you""how do i connect with someone on singapore airlines | social media—you""how do i connect with someone on singapore airlines | By choosing the most suitable communication channel—phone + 1-(801)-855-(5905).US + 1-(801)-855-(5905).UK., WhatsApp, live chat, email, or social media—you can efficiently connect with Singapore Airlines and get the support you need for your travel plans + 1-(801)-855-(5905).US + 1-(801)-855-(5905).UK. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faqs-24-7-guide-can-you-bring-a-12-pack-of | [FAQs~24/7 Guide]Can you bring a 12 pack of soda on a Norwegian Expedia? | [FAQs~24/7 Guide]Can you bring a 12 pack of soda on a Norwegian Expedia? | For general reservations, call +1-805-330-4056.
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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/way-to-help-carnival-cruise-refund-phone | Way to help carnival cruise refund phone number? | Way to help carnival cruise refund phone number? | While general Carnival Cruise customer service has specific operating hours
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"title": "0-1 laws for pattern occurrences in phylogenetic trees and networks",
"url": "https://paperswithcode.com/paper/0-1-laws-for-pattern-occurrences-in"
} | 2,000 | https://arxiv.org/abs/2402.04499v2 | 0-1 laws for pattern occurrences in phylogenetic trees and networks | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
https://paperswithcode.com/method/faqs-guide-who-is-305-539-6000 | {FAQs~GuiDE}Who is 305 539 6000? | {FAQs~GuiDE}Who is 305 539 6000? | The phone number 305-539-6000 belongs to Royal Caribbean International's corporate headquarters in Miami, Florida (1-855-732-4023). It is primarily used for administrative purposes, media inquiries, and high-level customer relations rather than general reservations or support (1-855-732-4023). If you're a guest needing... | {
"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/faqs-process-can-you-cancel-a-cruise-due-to | [[FAQS--PROCESS]] Can you cancel a cruise due to medical reasons? | [[FAQS--PROCESS]] Can you cancel a cruise due to medical reasons? | The phone number to contact Royal Caribbean customer service for cruise cancellations is 855-732-4023.
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It's always recommended to consult the detailed information about the cancellati... | {
"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-24-7-support-how-do-i-contact-norwegian | [FAQs~24/7 SuPport}How do I contact Norwegian Cruise Line by phone? | [FAQs~24/7 SuPport}How do I contact Norwegian Cruise Line by phone? | For general reservations, call +1 855-732-4023.
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/hallucinet | HalluciNet | Approximating Spatiotemporal Representations Using a 2DCNN | Approximating Spatiotemporal Representations Using a 2DCNN | {
"title": "HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN",
"url": "https://paperswithcode.com/paper/hallucinet-ing-spatiotemporal-representations"
} | 2,000 | https://arxiv.org/abs/1912.04430v3 | HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Action Recognition Models"
}
] | |
https://paperswithcode.com/method/gps | GPS | Greedy Policy Search | **Greedy Policy Search** (GPS) is a simple algorithm that learns a policy for test-time data augmentation based on the predictive performance on a validation set. GPS starts with an empty policy and builds it in an iterative fashion. Each step selects a sub-policy that provides the largest improvement in calibrated log... | {
"title": "Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation",
"url": "https://paperswithcode.com/paper/greedy-policy-search-a-simple-baseline-for"
} | 2,000 | https://arxiv.org/abs/2002.09103v2 | Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation | null | 707 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] |
https://paperswithcode.com/method/sbd | Spatial Broadcast Decoder | Spatial Broadcast Decoder | Spatial Broadcast Decoder is an architecture that aims to improve disentangling, reconstruction accuracy, and generalization to held-out regions in data space. It provides a particularly dramatic
benefit when applied to datasets with small objects.
Source: [Watters et al.](https://arxiv.org/pdf/1901.07017v2.pdf)
... | {
"title": "Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs",
"url": "https://paperswithcode.com/paper/spatial-broadcast-decoder-a-simple"
} | 2,000 | https://arxiv.org/abs/1901.07017v2 | Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs | 14 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Backbone Architectures"
}
] | |
https://paperswithcode.com/method/alis | ALIS | Aligning Latent and Image Spaces | An infinite image generator which is based on a patch-wise, periodically equivariant generator. | {
"title": "Aligning Latent and Image Spaces to Connect the Unconnectable",
"url": "https://paperswithcode.com/paper/aligning-latent-and-image-spaces-to-connect"
} | 2,000 | https://arxiv.org/abs/2104.06954v1 | Aligning Latent and Image Spaces to Connect the Unconnectable | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Generative Adversarial Networks"
}
] |
https://paperswithcode.com/method/faqs-proper-can-i-get-a-refund-on-expedia | [FAqs-Proper]Can I get a refund on Expedia? | [FAqs-Proper]Can I get a refund on Expedia? | To initiate a refund request through Expedia,+1-888-829-0881 you should first review the refund policy associated with your booking in the ""My Trips"" section. If you require assistance or wish to request a refund, you can contact Expedia's customer support team at +1-888-829-0881 or +1-805-330-4056..,(live~ help) or ... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/royal-caribbean-cruises-r-usa-contact-numbers-1 | Royal Caribbean Cruises®️ USA Contact Numbers: Full Support Guide 2025 | Royal Caribbean Cruises®️ USA Contact Numbers: Full Support Guide 2025 | Royal Caribbean 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-contact-disney-cruise-line-customer | How do I contact Disney Cruise Line customer service? | How do I contact Disney Cruise Line customer service? | To reach Disney Cruise Line customer service, including for claims or questions about the Disney Cruise Line Vacation Protection Plan, you can call+1-(855)-732-4023. Alternatively, you can find information or potentially initiate a claim process through the "My Reservations" section on the Disney Cruise Line website un... | {
"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/annealing-snnl | Annealing SNNL | Soft Nearest Neighbor Loss with Annealing Temperature | {
"title": "Improving k-Means Clustering Performance with Disentangled Internal Representations",
"url": "https://paperswithcode.com/paper/improving-k-means-clustering-performance-with"
} | 2,000 | https://arxiv.org/abs/2006.04535v1 | Improving k-Means Clustering Performance with Disentangled Internal Representations | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Representations"
}
] | |
https://paperswithcode.com/method/travel-guide-r-tmhow-do-i-connect-with-1 | [[Travel-Guide®]]™How do I connect with someone on Hawaiian Airlines? | [[Travel-Guide®]]™How do I connect with someone on Hawaiian Airlines? | To connect with someone at Hawaiian Airlines,📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷 you can reach them by phone, live chat, email, or social media. For urgent matters, calling their customer service line is recommended📞+1-801-(855)-(5905) or +1-804-(853)-(9001)🔷. You can also utilize their live chat feature o... | {
"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"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 | 0 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/vokenization | Vokenization | Vokenization | **Vokenization** is an approach for extrapolating multimodal alignments to language-only data by contextually mapping language tokens to their related images ("vokens") by retrieval. Instead of directly supervising the language model with visually grounded language datasets (e.g., MS COCO) these relative small datasets... | {
"title": "Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision",
"url": "https://paperswithcode.com/paper/vokenization-improving-language-understanding"
} | 2,000 | https://arxiv.org/abs/2010.06775v1 | Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
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}
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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/faq-r-american-tm-usahow-to-get-delta-senior | [FAQ®~American]™@#usaHow to get Delta Senior discount? | [FAQ®~American]™@#usaHow to get Delta Senior discount? | To get a senior discount on Delta Airlines <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>>, passengers aged 65 and older should contact Delta's reservation line directly. These discounts are typically not available online and must be inquired about through a phone call <<+1 (801) 855-5905>> or <<+1 (804) 853-9001>>, acc... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/object-dropout | Object Dropout | Object Dropout | Object Dropout is a technique that perturbs object features in an image for [noisy student](https://paperswithcode.com/method/noisy-student) training. It performs at par with standard data augmentation techniques while being significantly faster than the latter to implement. | {
"title": "Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning",
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} | 2,000 | https://www.ijcai.org/proceedings/2021/105 | Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Image Data Augmentation"
}
] | |
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
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} | 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": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/fast-dispute-expedia-how-do-i-dispute-with | [Fast-Dispute-Expedia]How do I dispute with Expedia? | [Fast-Dispute-Expedia]How do I dispute with Expedia? | How Do I File a Dispute with Expedia If you need to dispute a charge with Expedia, call their customer service at +1-888-829-0881 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.
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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