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/tmjetblue-airways-telefono-puerto-ricotm-como | [™jetblue airways teléfono puerto rico™] ¿Cómo llamar a JetBlue Puerto Rico? | [™jetblue airways teléfono puerto rico™] ¿Cómo llamar a JetBlue Puerto Rico? | Para hablar con un representante de Jetblue Airways , llama al+1-855-435-7217//1-800-538-2583 o al +34-914-83-10-19 o al +52-800-7334043 si te encuentras en Colombia y deseas atención en español. También puedes comunicarte al+1-855-435-7217 o al +34-914-83-10-19 o al +52-800-7334043 para asistencia en inglés. Ambos núm... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-contact-lufthansa-airlines-about | Escalate~Ex~Problem~How do I escalate a problem with Expedia? | Escalate~Ex~Problem~How do I escalate a problem with Expedia? | How do I escalate a problem with Expedia?
To escalate an issue with Expedia, start by contacting customer service at +1-805-330-4056(OR)+1 (805) 330-4056(UK). If your concern isn't resolved, follow up with written communication and consider using social media for better visibility. For additional assistance, call 1^... | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/cheap-dial-s-when-is-the-best-time-to-book-a | {Cheap``Dial`s}When is the best time to book a cheap Carnival cruise? | {Cheap``Dial`s}When is the best time to book a cheap Carnival cruise? | The best time to book a cheap Carnival cruise is typically during wave season, which runs from January to March 1-855-732-4023, when cruise lines offer major discounts and perks. Booking 6–12 months in advance can also secure lower rates+1-808-900-8011, especially for popular itineraries. Last-minute deals, often found... | {
"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": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/how-do-i-upgrade-my-seat-on-lufthansa | |"My Trips"+1-805-330-4056|How do I get a full refund from Expedia? | |"My Trips"+1-805-330-4056|How do I get a full refund from Expedia? | How do I get a full 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 | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/faqs-af-how-do-i-connect-to-air-france-1 | [fAQs*AF]How do I connect to Air France? | [fAQs*AF]How do I connect to Air France? | To connect to Air France's in-flight Wi-Fi,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ activate airplane mode on your device,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ connect to the "AirFranceCONNECT" network,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ and then open your browser and go to connect.airfrance.com.... | {
"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-how-to-cancel-a-cruise-royal-caribbean | [Faqs]How to cancel a cruise Royal Caribbean without penalty? | [Faqs]How to cancel a cruise Royal Caribbean without penalty? | To cancel a Royal Caribbean cruise without penalty, you must do so within the risk-free cancellation period +1-(855)-732-4023. For most bookings, this means canceling at least 75 days before departure for shorter cruises and 90 days for longer sailings +1-(855)-732-4023. Guests who booked with the “Cruise with Confiden... | {
"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] | |
https://paperswithcode.com/method/3d-sa | 3D SA | 3 Dimensional Soft Attention | {
"title": "Attention based Writer Independent Handwriting Verification",
"url": "https://paperswithcode.com/paper/attention-based-writer-independent"
} | 2,000 | https://arxiv.org/abs/2009.04532v3 | Attention based Writer Independent Handwriting Verification | 3 | [
{
"area": "General",
"area_id": "general",
"collection": "Attention Mechanisms"
}
] | ||
https://paperswithcode.com/method/collegamento-immediato-come-contattare | [Collegamento immediato]Come contattare American Airlines? ITALIA | [Collegamento immediato]Come contattare American Airlines? ITALIA | Per contattare American Airlines in modo rapido, chiama il numero dedicato +39-02-0070-23-83. Questo servizio è attivo per fornire assistenza su prenotazioni, modifiche o informazioni generali. Il numero +39-02-0070-23-83 è accessibile sia da telefono fisso che mobile, garantendo supporto diretto e tempestivo. Il team ... | {
"title": "YOLO9000: Better, Faster, Stronger",
"url": "https://paperswithcode.com/paper/yolo9000-better-faster-stronger"
} | 2,000 | http://arxiv.org/abs/1612.08242v1 | YOLO9000: Better, Faster, Stronger | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Face Mesh Models"
}
] |
https://paperswithcode.com/method/how-do-i-dispute-with-expedia-live-now | How do I dispute with Expedia?[[Live-Now]] | How do I dispute with Expedia?[[Live-Now]] | To dispute with Expedia, contact Customer Support via phone +1-888-829-0881 or +1-805-330-4056, chat, or email to explain the issue. If unresolved, dispute the charge with your bank or credit card provider. You can also file a formal complaint with the Better Business Bureau (BBB) or escalate the issue via social media... | {
"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/is-it-possible-to-get-an-earlier-flight | [|||]Particularly~Tuesdays[|||]What is the cheapest day to buy tickets on Expedia? | [|||]Particularly~Tuesdays[|||]What is the cheapest day to buy tickets on Expedia? | What is the cheapest day to buy tickets on Expedia?
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] | |
https://paperswithcode.com/method/tur-kish-como-hablo-con-una-persona-real-en | {!!^Tur~kish~@^^}¿Cómo hablo con una persona real en Turkish Airlines? | ¿Cómo hablo con una persona real en Turkish Airlines? | ¿Cómo hablar con alguien en Turkish ? Para hablar con alguien en Turkish , simplemente llama al ☎+1-808-470-7107 desde México o al +1-808-470-7107 si estás en Estados Unidos o Canadá+1-808-470-7107. Estos números te conectan con atención en español, lista para ayudarte con cualquier consulta o servicio. | {
"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/how-can-i-complain-to-expedia-customer | How can I complain to Expedia?#((Customer_support)) | How can I complain to Expedia?#((Customer_support)) | How can I complain to 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/24-7-helpline-como-hablo-con-alguien-en | 24^7[Helpline]-¿Cómo hablo con alguien en United? | 24^7[Helpline]-¿Cómo hablo con alguien en United? | Para asistencia general, incluyendo reservas y cambios, puedes llamar al 1-800-UNITED-1 ( +1-8𝟎𝟖-𝟒𝟕𝟎-𝟕𝟏𝟎𝟕) si hablas inglés. +𝟏→𝟖𝟎𝟖→𝟒𝟕𝟎→𝟕𝟏𝟎𝟕
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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/what-is-a-fully-refundable-property-on-1 | What is a fully refundable property on Expedia?【📞 Call~Now™】 | What is a fully refundable property on Expedia?【📞 Call~Now™】 | For questions about refundable bookings, call Expedia at [+1~(833)~783~3330]. A fully refundable property on Expedia means you can cancel your reservation within a specified time frame without paying a cancellation fee [+1~(833)~783~3330]. These listings are clearly marked and offer peace of mind if your travel plans c... | {
"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"
}
] |
https://paperswithcode.com/method/how-to-speak-directly-at-hawaiian-airlines | How to speak directly at Hawaiian Airlines? | How to speak directly at Hawaiian Airlines? | If you are calling,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ having your booking reference, SkyMiles number,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ and travel details ready can help expedite the process. When using the phone system,☎️+1-801-(855)-(5905) or +1-804-(853)-(9001)✅ you might be prompted to select ... | {
"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/clarinet | ClariNet | ClariNet | **ClariNet** is an end-to-end text-to-speech architecture. Unlike previous TTS systems which use text-to-spectogram models with a separate waveform [synthesizer](https://paperswithcode.com/method/synthesizer) (vocoder), ClariNet is a text-to-wave architecture that is fully convolutional and can be trained from scratch.... | {
"title": "ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech",
"url": "https://paperswithcode.com/paper/clarinet-parallel-wave-generation-in-end-to"
} | 2,000 | http://arxiv.org/abs/1807.07281v3 | ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech | 94102 | 7 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Sequence To Sequence Models"
},
{
"area": "Audio",
"area_id": "audio",
"collection": "Text-to-Speech Models"
}
] |
https://paperswithcode.com/method/oscar | OSCAR | OSCAR | OSCAR is a new learning method that uses object tags detected in images as anchor points to ease the learning of image-text alignment. The model take a triple as input (word-tag-region) and pre-trained with two losses (masked token loss over words and tags, and a contrastive loss between tags and others). OSCAR represe... | {
"title": "Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks",
"url": "https://paperswithcode.com/paper/oscar-object-semantics-aligned-pre-training"
} | 2,000 | https://arxiv.org/abs/2004.06165v5 | Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks | 36 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Vision and Language Pre-Trained Models"
}
] | |
https://paperswithcode.com/method/repvgg | RepVGG | RepVGG | **RepVGG** is a [VGG](https://paperswithcode.com/method/vgg)-style convolutional architecture. It has the following advantages:
- The model has a VGG-like plain (a.k.a. feed-forward) topology 1 without any branches. I.e., every layer takes
the output of its only preceding layer as input and feeds the output into it... | {
"title": "RepVGG: Making VGG-style ConvNets Great Again",
"url": "https://paperswithcode.com/paper/repvgg-making-vgg-style-convnets-great-again"
} | 2,000 | https://arxiv.org/abs/2101.03697v3 | RepVGG: Making VGG-style ConvNets Great Again | 13 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Convolutional Neural Networks"
}
] | |
https://paperswithcode.com/method/what-is-the-cheapest-month-to-go-on-a | What is the cheapest month to go on a Carnival cruise? | What is the cheapest month to go on a Carnival cruise? | The cheapest time to take a Carnival cruise is typically between Thanksgiving and Christmas, excluding the actual holiday dates, as well as in mid-January to early February+1-855-732-4023. Fall shoulder season (September and October) also often offers good deals+1-855-732-4023. Avoid April, which is a popular time for ... | {
"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 Representations"
}
] |
https://paperswithcode.com/method/what-is-the-penalty-fee-for-copa-airlines-ota | What is the penalty fee for Copa Airlines?(OTA)(US) | What is the penalty fee for Copa Airlines?(OTA)(US) | What is the penalty for Copa Airlines? Copa Airlines charges cancellation and change fees based on fare type, route, and timing. Canceling within 24 hours of booking +1-801-(855)-(5905) (OTA)(US) (if the flight is 7+ days away) is usually free. After that, penalties range from $75 to $400. | {
"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/can-i-get-my-facebook-account-back-if-it-was | Can I get my Facebook account back if it was hacked? Here’s How to Snatch Your Facebook Back Fast” | Can I get my Facebook account back if it was hacked? Here’s How to Snatch Your Facebook Back Fast” | Yes, you can recover a hacked Facebook account call 1ー（833）ー398ー5944 or by using the "Forgot Password" option, verifying your identity via email or phone, or submitting ID proof. Act quickly 1ー（833）ー398ー5944 to secure your account and enable two-factor authentication (2FA).How long does it take for Facebook to res... | {
"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-celebrity-cruises-customer-3 | How do I contact Celebrity Cruises customer service? [[Name Change Policy]] | How do I contact Celebrity Cruises customer service? [[Name Change Policy]] | This team is available to assist you 24 hours a day, 7 days a week or by phone +1-855-732-4023 or +1-808-900-8011 (Option 4). If the flight gets cancelled or delayed and Celebrity Cruises is unable to get the guest to the ship, we will offer a Future Cruise Credit and refund the cost of the flight.
Yes, you can chan... | {
"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/como-pedir-asistencia-en-delta | ¿Cómo pedir asistencia en Delta? | ¿Cómo pedir asistencia en Delta? | ℙ𝕒𝕣𝕒 𝕙𝕒𝕓𝕝𝕒𝕣 𝕔𝕠𝕟 𝕦𝕟 𝕣𝕖𝕡𝕣𝕖𝕤𝕖𝕟𝕥𝕒𝕟𝕥𝕖 𝕕𝕖 Delta Airlines 𝔸𝕚𝕣𝕝𝕚𝕟𝕖𝕤, 𝕡𝕦𝕖𝕕𝕖𝕤 𝕔𝕠𝕞𝕦𝕟𝕚𝕔𝕒𝕣𝕥𝕖 𝕒 𝕥𝕣𝕒𝕧é𝕤 𝕕𝕖𝕝 𝕟ú𝕞𝕖𝕣𝕠 𝕕𝕖 𝕒𝕥𝕖𝕟𝕔𝕚ó𝕟 𝕒𝕝 𝕔𝕝𝕚𝕖𝕟𝕥𝕖: +1-808-(470)-(7107){𝙼𝚇𝙾} 𝕠 +1-808-(470)-(7107) 𝘆 𝕤𝕚 𝕥𝕖 𝕖𝕟𝕔𝕦𝕖𝕟𝕥𝕣𝕒𝕤 𝕖𝕟 𝕄é𝕩𝕚𝕔𝕠 𝕠 𝕒𝕝 ... | {
"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/expedia-escalate-how-do-i-escalate-a-problem | ||Expedia-Escalate||How do I escalate a problem with Expedia? | ||Expedia-Escalate||How do I escalate a problem with Expedia? | How Do I File a Dispute with Expedia If you need to dispute a charge with Expedia, call their customer service at +1-866-829-0881 or +1-805-330-4056. For a quicker resolution, be prepared with your booking details, payment receipts, and any supporting documents when speaking with a representative.
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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",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/faq-s-how-do-i-ask-a-question-at-alaska-1 | {(!FAQ^s!)}How do I ask a question on Expedia?™ | {(!FAQ^s!)}How do I ask a question on Expedia?™ | How do I ask a question on Expedia?™ main customer service number is 1-800-How do I ask a question on Expedia?™ or +1-888-829-0881 OR +1-805-330-4056 [US-How do I ask a question on Expedia?™] or +1-888-829-0881 OR +1-805-330-4056 [UK-How do I ask a question on Expedia?™] OTA (Live Person), available 24/7.
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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"
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "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": "HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation",
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{
"area": "Computer Vision",
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}
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"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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{
"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": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Object Detection Models"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
https://paperswithcode.com/method/mamba | Mamba | Mamba: Linear-Time Sequence Modeling with Selective State Spaces | Foundation models, now powering most of the exciting applications in deep learning, are almost universally based on the Transformer architecture and its core attention module. Many subquadratic-time architectures such as linear attention, gated convolution and recurrent models, and structured state space models (SSMs) ... | {
"title": "Mamba: Linear-Time Sequence Modeling with Selective State Spaces",
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"title": "Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers",
"url": "https://paperswithcode.com/paper/don-t-look-into-the-sun-adversarial"
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{
"area": "General",
"area_id": "general",
"collection": "Adversarial Attacks"
}
] | |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
"url": "https://paperswithcode.com/paper/0-1-deep-neural-networks-via-block-coordinate"
} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0/1 Deep Neural Networks via Block Coordinate Descent",
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} | 2,000 | https://arxiv.org/abs/2206.09379v2 | 0/1 Deep Neural Networks via Block Coordinate Descent | null | 1 | [
{
"area": "General",
"area_id": "general",
"collection": "2D Parallel Distributed Methods"
}
] |
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"title": "0.8% Nyquist computational ghost imaging via non-experimental deep learning",
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} | 2,000 | https://arxiv.org/abs/2108.07673v1 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | null | 1 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "3D Representations"
}
] |
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"title": "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm",
"url": "https://paperswithcode.com/paper/mastering-chess-and-shogi-by-self-play-with-a"
} | 2,000 | http://arxiv.org/abs/1712.01815v1 | Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm | null | 114 | [
{
"area": "Reinforcement Learning",
"area_id": "reinforcement-learning",
"collection": "Board Game Models"
}
] |
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"title": "BAGUA: Scaling up Distributed Learning with System Relaxations",
"url": "https://paperswithcode.com/paper/bagua-scaling-up-distributed-learning-with"
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{
"area": "General",
"area_id": "general",
"collection": "Replicated Data Parallel"
},
{
"area": "General",
"area_id": "general",
"collection": "Data Parallel Methods"
},
{
"area": "General",
"area_id": "general",
"collection": "Distributed Methods"
}
] | |
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"title": "Acquisition of Localization Confidence for Accurate Object Detection",
"url": "https://paperswithcode.com/paper/acquisition-of-localization-confidence-for"
} | 2,000 | http://arxiv.org/abs/1807.11590v1 | Acquisition of Localization Confidence for Accurate Object Detection | null | 3 | [
{
"area": "Computer Vision",
"area_id": "computer-vision",
"collection": "Localization 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"
}
] |
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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/neural-turing-machine | Neural Turing Machine | Neural Turing Machine | A **Neural Turing Machine** is a working memory neural network model. It couples a neural network architecture with external memory resources. The whole architecture is differentiable end-to-end with gradient descent. The models can infer tasks such as copying, sorting and associative recall.
A Neural Turing Machine... | {
"title": "Neural Turing Machines",
"url": "https://paperswithcode.com/paper/neural-turing-machines"
} | 2,000 | http://arxiv.org/abs/1410.5401v2 | Neural Turing Machines | https://github.com/carpedm20/NTM-tensorflow | 22 | [
{
"area": "Sequential",
"area_id": "sequential",
"collection": "Recurrent Neural Networks"
},
{
"area": "General",
"area_id": "general",
"collection": "Working Memory Models"
}
] |
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