Ilya Sutskever
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
5
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Scaling and evaluating sparse autoencoders. | Leo Gao, Tom Dupr la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu |
| 2024 | ICLR | Let's Verify Step by Step. | Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe |
| 2024 | ICML | Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision. | Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeffrey Wu |
| 2023 | ICLR | Formal Mathematics Statement Curriculum Learning. | Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever |
| 2023 | ICML | Robust Speech Recognition via Large-Scale Weak Supervision. | Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever |
| 2023 | ICML | Consistency Models. | Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever |
| 2022 | ICML | GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. | Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen |
| 2021 | ICML | Learning Transferable Visual Models From Natural Language Supervision. | 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 |
| 2021 | ICML | Zero-Shot Text-to-Image Generation. | Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever |
| 2020 | ICLR | Deep Double Descent: Where Bigger Models and More Data Hurt. | Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever |
| 2020 | ICML | Generative Pretraining From Pixels. | Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, Ilya Sutskever |
| 2020 | ICML | Distribution Augmentation for Generative Modeling. | Heewoo Jun, Rewon Child, Mark Chen, John Schulman, Aditya Ramesh, Alec Radford, Ilya Sutskever |
| 2019 | ICLR | FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models. | Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud |
| 2019 | ICLR | GamePad: A Learning Environment for Theorem Proving. | Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever |
| 2018 | ICLR | Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. | Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel |
| 2018 | ICLR | Emergent Complexity via Multi-Agent Competition. | Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch |
| 2017 | ICASSP | Learning online alignments with continuous rewards policy gradient. | Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, Ilya Sutskever |
| 2017 | ICLR | Variational Lossy Autoencoder. | Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel |
| 2017 | ICLR | Third Person Imitation Learning. | Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever |
| 2016 | ICML | Continuous Deep Q-Learning with Model-based Acceleration. | Shixiang Gu, Timothy P. Lillicrap, Ilya Sutskever, Sergey Levine |
| 2015 | ACL | Addressing the Rare Word Problem in Neural Machine Translation. | Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba |
| 2015 | ICML | An Empirical Exploration of Recurrent Network Architectures. | Rafal Jzefowicz, Wojciech Zaremba, Ilya Sutskever |
| 2013 | ICML | On the importance of initialization and momentum in deep learning. | Ilya Sutskever, James Martens, George E. Dahl, Geoffrey E. Hinton |
| 2013 | ICML | Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning. | Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever, Richard S. Zemel |
| 2012 | ICML | Estimating the Hessian by Back-propagating Curvature. | James Martens, Ilya Sutskever, Kevin Swersky |
| 2011 | ICML | Learning Recurrent Neural Networks with Hessian-Free Optimization. | James Martens, Ilya Sutskever |
| 2011 | ICML | Generating Text with Recurrent Neural Networks. | Ilya Sutskever, James Martens, Geoffrey E. Hinton |
| 2009 | ICML | A simpler unified analysis of budget perceptrons. | Ilya Sutskever |
| 2008 | ICANN | Mimicking Go Experts with Convolutional Neural Networks. | Ilya Sutskever, Vinod Nair |