| Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ... arXiv preprint arXiv:1312.6199, 2013 | 12148 | 2013 |
| Improved techniques for training gans T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen Advances in neural information processing systems 29, 2016 | 7745 | 2016 |
| Openai gym G Brockman, V Cheung, L Pettersson, J Schneider, J Schulman, J Tang, ... arXiv preprint arXiv:1606.01540, 2016 | 4965 | 2016 |
| Spectral networks and locally connected networks on graphs J Bruna, W Zaremba, A Szlam, Y LeCun arXiv preprint arXiv:1312.6203, 2013 | 4424 | 2013 |
| Recurrent neural network regularization W Zaremba, I Sutskever, O Vinyals arXiv preprint arXiv:1409.2329, 2014 | 2910 | 2014 |
| Domain randomization for transferring deep neural networks from simulation to the real world J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel 2017 IEEE/RSJ international conference on intelligent robots and systems …, 2017 | 2235 | 2017 |
| An empirical exploration of recurrent network architectures R Jozefowicz, W Zaremba, I Sutskever | 2041 | 2015 |
| Hindsight experience replay M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ... Advances in neural information processing systems 30, 2017 | 1927 | 2017 |
| Exploiting linear structure within convolutional networks for efficient evaluation EL Denton, W Zaremba, J Bruna, Y LeCun, R Fergus Advances in neural information processing systems 27, 2014 | 1691 | 2014 |
| Sequence level training with recurrent neural networks MA Ranzato, S Chopra, M Auli, W Zaremba arXiv preprint arXiv:1511.06732, 2015 | 1502 | 2015 |
| Learning dexterous in-hand manipulation OpenAI, M Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ... arXiv preprint arXiv:1808.00177, 2018 | 1141* | 2018 |
| Sim-to-real transfer of robotic control with dynamics randomization XB Peng, M Andrychowicz, W Zaremba, P Abbeel 2018 IEEE international conference on robotics and automation (ICRA), 3803-3810, 2018 | 1043 | 2018 |
| Addressing the rare word problem in neural machine translation MT Luong, I Sutskever, QV Le, O Vinyals, W Zaremba arXiv preprint arXiv:1410.8206, 2014 | 871 | 2014 |
| Solving rubik's cube with a robot hand I Akkaya, M Andrychowicz, M Chociej, M Litwin, B McGrew, A Petron, ... arXiv preprint arXiv:1910.07113, 2019 | 707 | 2019 |
| One-shot imitation learning Y Duan, M Andrychowicz, B Stadie, OAI Jonathan Ho, J Schneider, ... Advances in neural information processing systems 30, 2017 | 632 | 2017 |
| Overcoming exploration in reinforcement learning with demonstrations A Nair, B McGrew, M Andrychowicz, W Zaremba, P Abbeel 2018 IEEE international conference on robotics and automation (ICRA), 6292-6299, 2018 | 621 | 2018 |
| Learning to execute W Zaremba, I Sutskever arXiv preprint arXiv:1410.4615, 2014 | 581 | 2014 |
| Evaluating large language models trained on code M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ... arXiv preprint arXiv:2107.03374, 2021 | 368 | 2021 |
| Multi-goal reinforcement learning: Challenging robotics environments and request for research M Plappert, M Andrychowicz, A Ray, B McGrew, B Baker, G Powell, ... arXiv preprint arXiv:1802.09464, 2018 | 363 | 2018 |
| Reinforcement learning neural turing machines-revised W Zaremba, I Sutskever arXiv preprint arXiv:1505.00521, 2015 | 292 | 2015 |
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
