Ilya Sutskever
The Litlas record for Ilya Sutskever includes 87 papers and 449,219 citations.
- 87
- Papers
- 449,219
- Citations
- 69
- h-index
- 83
- i10-index
Citations
Citation sources
Countries
Réunion less than 0.1% cannot be drawn at this map scale, so they are listed here instead.
Institutions
Fields
- Computer Science69.4%
- Engineering10.9%
- Medicine4.9%
- Biochemistry, Genetics and Molecular Biology2.2%
- Neuroscience2.2%
- Social Sciences1.6%
- Other8.8%
Topics
- 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%
- Other78.6%
Coauthors
- 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
Selected research
All papers
- Evaluating Large Language Models Trained on Code
Authors: 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 cited by 7,460
- Learning Transferable Visual Models From Natural Language Supervision
Authors: 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 cited by 52,520
- Language Models are Few-Shot Learners
Authors: 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 cited by 61,040
- ImageNet Classification with Deep Convolutional Neural Networks
Authors: Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton - Communications of the ACM, Commun. ACM 2012 cited by 130,303
- GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Authors: Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen - ICML 2022 cited by 4,892
- Dropout: a simple way to prevent neural networks from overfitting
Authors: 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 cited by 34,210
- Intriguing properties of neural networks
Authors: Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus - ICLR (Poster) 2014 cited by 8,052
- Mastering the game of Go with deep neural networks and tree search
Authors: 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 cited by 16,121
- Let's Verify Step by Step
Authors: Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe - ICLR 2024 cited by 3,883
- Robust Speech Recognition via Large-Scale Weak Supervision
Authors: Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever - ICML 2023 cited by 7,892
- Generating Long Sequences with Sparse Transformers
Authors: Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever - arXiv (Cornell University), CoRR 2019 cited by 1,462
- Sequence to Sequence Learning with Neural Networks
Authors: Ilya Sutskever, Oriol Vinyals, Quoc V. Le - NIPS 2014 cited by 22,239
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Authors: 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 cited by 9,795
- Dota 2 with Large Scale Deep Reinforcement Learning
Authors: 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 cited by 1,528
- Consistency Models
Authors: Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever - ICML 2023 cited by 2,051
- Improving neural networks by preventing co-adaptation of feature detectors
Authors: Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov - arXiv (Cornell University), CoRR 2012 cited by 6,640
- Scaling and evaluating sparse autoencoders
Authors: Leo Gao, Tom Dupré la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu - ICLR 2025 cited by 537
- Distributed Representations of Words and Phrases and their Compositionality
Authors: Tomás Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean - NIPS 2013 cited by 35,454
- Zero-Shot Text-to-Image Generation
Authors: Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever - International Conference on Machine Learning, ICML 2021 cited by 6,589
- Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Authors: Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, Ilya Sutskever - arXiv (Cornell University), CoRR 2017 cited by 1,216
- Jukebox: A Generative Model for Music
Authors: Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever - arXiv (Cornell University), CoRR 2020 cited by 576
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Authors: 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 cited by 510
- RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
Authors: Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel - arXiv (Cornell University), CoRR 2016 cited by 766
- Generative Language Modeling for Automated Theorem Proving
Authors: Stanislas Polu, Ilya Sutskever - arXiv (Cornell University), CoRR 2020 cited by 313
