Ilya Sutskever
Litlas には Ilya Sutskever の名前で、論文 87 本、被引用 449,219 件が記録されています。
- 87
- 論文数
- 449,219
- 被引用数
- 69
- h 指数
- 83
- i10 指数
被引用数
引用元
国・地域
レユニオン 0.1% 未満 はこの縮尺の地図に描けないため、ここに書き出しています。
機関
分野
- Computer Science69.4%
- Engineering10.9%
- Medicine4.9%
- Biochemistry, Genetics and Molecular Biology2.2%
- Neuroscience2.2%
- Social Sciences1.6%
- その他8.8%
トピック
- Topic Modeling5.6%
- Advanced Neural Network Applications4%
- Natural Language Processing Techniques3.9%
- Multimodal Machine Learning Applications2.8%
- Domain Adaptation and Few-Shot Learning2.7%
- Adversarial Robustness in Machine Learning2.4%
- その他78.6%
共著者
- Geoffrey E. Hinton13
- Alec Radford12
- Xi Chen9
- Pieter Abbeel8
- Wojciech Zaremba8
- Aditya Ramesh7
- James Martens7
- Mark Chen7
- Oriol Vinyals7
- Quoc V. Le7
- Rafal Józefowicz7
- John Schulman6
- Lukasz Kaiser6
- Prafulla Dhariwal6
- Tim Salimans6
- Yan Duan6
- Heewoo Jun5
- Rewon Child5
- Scott Gray5
- Arvind Neelakantan4
- Bradly C. Stadie4
- Kevin Swersky4
- Ruslan Salakhutdinov4
- Alex Krizhevsky3
研究ピックアップ
全論文
- Evaluating Large Language Models Trained on Code
著者: Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba - arXiv (Cornell University), CoRR 2021 被引用: 7,460
- Learning Transferable Visual Models From Natural Language Supervision
著者: Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever - ICML 2021 被引用: 52,520
- Language Models are Few-Shot Learners
著者: Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei - NeurIPS 2020 被引用: 61,040
- ImageNet Classification with Deep Convolutional Neural Networks
著者: Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton - Communications of the ACM, Commun. ACM 2012 被引用: 130,303
- GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
著者: Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen - ICML 2022 被引用: 4,892
- Dropout: a simple way to prevent neural networks from overfitting
著者: Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov - http://www.cs.toronto.edu/%7Ersalakhu/papers/srivastava14a.pdf, J. Mach. Learn. Res. 2014 被引用: 34,210
- Intriguing properties of neural networks
著者: Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus - ICLR (Poster) 2014 被引用: 8,052
- Mastering the game of Go with deep neural networks and tree search
著者: David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Vedavyas Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy P. Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis - Nature, Nat. 2016 被引用: 16,121
- Let's Verify Step by Step
著者: Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe - ICLR 2024 被引用: 3,883
- Robust Speech Recognition via Large-Scale Weak Supervision
著者: Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever - ICML 2023 被引用: 7,892
- Generating Long Sequences with Sparse Transformers
著者: Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever - arXiv (Cornell University), CoRR 2019 被引用: 1,462
- Sequence to Sequence Learning with Neural Networks
著者: Ilya Sutskever, Oriol Vinyals, Quoc V. Le - NIPS 2014 被引用: 22,239
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
著者: Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng - The Journal of Clinical Psychiatry 2021 被引用: 9,795
- Dota 2 with Large Scale Deep Reinforcement Learning
著者: Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemyslaw Debiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Christopher Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pondé de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang - arXiv (Cornell University), CoRR 2019 被引用: 1,528
- Consistency Models
著者: Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever - ICML 2023 被引用: 2,051
- Improving neural networks by preventing co-adaptation of feature detectors
著者: Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov - arXiv (Cornell University), CoRR 2012 被引用: 6,640
- Scaling and evaluating sparse autoencoders
著者: Leo Gao, Tom Dupré la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu - ICLR 2025 被引用: 537
- Distributed Representations of Words and Phrases and their Compositionality
著者: Tomás Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean - NIPS 2013 被引用: 35,454
- Zero-Shot Text-to-Image Generation
著者: Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever - International Conference on Machine Learning, ICML 2021 被引用: 6,589
- Evolution Strategies as a Scalable Alternative to Reinforcement Learning
著者: Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, Ilya Sutskever - arXiv (Cornell University), CoRR 2017 被引用: 1,216
- Jukebox: A Generative Model for Music
著者: Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever - arXiv (Cornell University), CoRR 2020 被引用: 576
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
著者: Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeff Wu - ICML 2024 被引用: 510
- RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
著者: Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel - arXiv (Cornell University), CoRR 2016 被引用: 766
- Generative Language Modeling for Automated Theorem Proving
著者: Stanislas Polu, Ilya Sutskever - arXiv (Cornell University), CoRR 2020 被引用: 313