| Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems 32, 8026-8037, 2019 | 9707 | 2019 |
| Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 8331 | 2017 |
| Advances in Neural Information Processing Systems 32 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Curran Associates, Inc, 8024-8035, 2019 | 240 | 2019 |
| Intrinsic motivation and automatic curricula via asymmetric self-play S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus arXiv preprint arXiv:1703.05407, 2017 | 200 | 2017 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ... Proceedings of the National Academy of Sciences 118 (15), 2021 | 196 | 2021 |
| Episodic exploration for deep deterministic policies: An application to starcraft micromanagement tasks N Usunier, G Synnaeve, Z Lin, S Chintala arXiv preprint arXiv:1609.02993, 2016 | 146 | 2016 |
| Torchcraft: a library for machine learning research on real-time strategy games G Synnaeve, N Nardelli, A Auvolat, S Chintala, T Lacroix, Z Lin, F Richoux, ... arXiv preprint arXiv:1611.00625, 2016 | 112 | 2016 |
| Deep motif: Visualizing genomic sequence classifications J Lanchantin, R Singh, Z Lin, Y Qi arXiv preprint arXiv:1605.01133, 2016 | 72 | 2016 |
| Deepcloak: Masking deep neural network models for robustness against adversarial samples J Gao, B Wang, Z Lin, W Xu, Y Qi arXiv preprint arXiv:1702.06763, 2017 | 66 | 2017 |
| Pytorch: An imperative style, high-performance deep learning library. arXiv 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 1912 | 60 | 1912 |
| MUST-CNN: a multilayer shift-and-stitch deep convolutional architecture for sequence-based protein structure prediction Z Lin, J Lanchantin, Y Qi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 37 | 2016 |
| Stardata: A starcraft ai research dataset Z Lin, J Gehring, V Khalidov, G Synnaeve Thirteenth Artificial Intelligence and Interactive Digital Entertainment …, 2017 | 33 | 2017 |
| Forward modeling for partial observation strategy games-a starcraft defogger G Synnaeve, Z Lin, J Gehring, D Gant, V Mella, V Khalidov, N Carion, ... arXiv preprint arXiv:1812.00054, 2018 | 24 | 2018 |
| Value propagation networks N Nardelli, G Synnaeve, Z Lin, P Kohli, PHS Torr, N Usunier arXiv preprint arXiv:1805.11199, 2018 | 17 | 2018 |
| An analysis of model-based heuristic search techniques for StarCraft combat scenarios D Churchill, Z Lin, G Synnaeve Thirteenth Artificial Intelligence and Interactive Digital Entertainment …, 2017 | 13 | 2017 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. bioRxiv. 2019 A Rives, S Goyal, J Meier, D Guo, M Ott, CL Zitnick doi 10 (622803), 622803, 0 | 9 | |
| Growing action spaces G Farquhar, L Gustafson, Z Lin, S Whiteson, N Usunier, G Synnaeve International Conference on Machine Learning, 3040-3051, 2020 | 8 | 2020 |
| Neural Potts Model T Sercu, R Verkuil, J Meier, B Amos, Z Lin, C Chen, J Liu, Y LeCun, ... bioRxiv, 2021 | 2 | 2021 |
| Growing Up Together: Structured Exploration for Large Action Spaces G Synnaeve, J Gehring, Z Lin, D Haziza, N Usunier, D Rothermel, V Mella, ... | | 2019 |
Soumith ChintalaFacebook AI ResearchVerified email at nyu.edu
