| 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, 2019 | 26048 | 2019 |
| Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 11811 | 2017 |
| fairseq: A fast, extensible toolkit for sequence modeling M Ott, S Edunov, A Baevski, A Fan, S Gross, N Ng, D Grangier, M Auli arXiv preprint arXiv:1904.01038, 2019 | 2093 | 2019 |
| 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 | 721 | 2019 |
| Learning physical intuition of block towers by example A Lerer, S Gross, R Fergus International conference on machine learning, 430-438, 2016 | 303 | 2016 |
| A multipath network for object detection S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollár arXiv preprint arXiv:1604.02135, 2016 | 265 | 2016 |
| Deep counterfactual regret minimization N Brown, A Lerer, S Gross, T Sandholm International conference on machine learning, 793-802, 2019 | 171 | 2019 |
| Semi-supervised learning with context-conditional generative adversarial networks E Denton, S Gross, R Fergus arXiv preprint arXiv:1611.06430, 2016 | 161 | 2016 |
| Training and investigating residual nets S Gross, M Wilber Facebook AI Research 6 (3), 2016 | 161 | 2016 |
| PyTorch A Paszke, S Gross, S Chintala, G Chanan Computer software. Vers. 0.3 1, 2016 | 93 | 2016 |
| Airblue: A system for cross-layer wireless protocol development MC Ng, KE Fleming, M Vutukuru, S Gross, H Balakrishnan Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking …, 2010 | 79 | 2010 |
| Residual energy-based models for text A Bakhtin, Y Deng, S Gross, M Ott, MA Ranzato, A Szlam The Journal of Machine Learning Research 22 (1), 1840-1880, 2021 | 75* | 2021 |
| Hard mixtures of experts for large scale weakly supervised vision S Gross, MA Ranzato, A Szlam Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 66 | 2017 |
| PyTorch: An Imperative Style A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... High-performance deep learning library 12, 1912 | 65 | 1912 |
| Training and investigating residual nets (2016) S Gross, M Wilber URL http://torch. ch/blog/2016/02/04/resnets. html, 0 | 27 | |
| WiLIS: Architectural modeling of wireless systems KE Fleming, MC Ng, S Gross (IEEE ISPASS) IEEE International Symposium on Performance Analysis of …, 2011 | 8 | 2011 |
| Training and investigating residual nets, Facebook AI Research, CA S Gross, M Wilber Avilable: http://torch. ch/blog/2016/02/04/resnets. html, 2016 | 7 | 2016 |
| Resnet training in torch S Gross, M Wilber | 7 | 2016 |
| Hardware implementation of wireless bit rate adaptation SA Gross Massachusetts Institute of Technology, 2010 | | 2010 |
Soumith ChintalaMeta AI在 nyu.edu 的电子邮件经过验证
