| 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 | 41476 | 2019 |
| Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 14156 | 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 | 2890 | 2019 |
| Pytorch: An imperative style, high-performance deep learning library B Steiner, Z DeVito, S Chintala, S Gross, A Paske, F Massa, A Lerer, ... | 675 | 2019 |
| Learning physical intuition of block towers by example A Lerer, S Gross, R Fergus International conference on machine learning, 430-438, 2016 | 332 | 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 | 287 | 2016 |
| Deep counterfactual regret minimization N Brown, A Lerer, S Gross, T Sandholm International conference on machine learning, 793-802, 2019 | 243 | 2019 |
| Training and investigating residual nets (2016) S Gross, M Wilber http://torch.ch/blog/2016/02/04/resnets.html, 2016 | 203* | 2016 |
| Semi-supervised learning with context-conditional generative adversarial networks E Denton, S Gross, R Fergus arXiv preprint arXiv:1611.06430, 2016 | 184 | 2016 |
| Residual energy-based models for text A Bakhtin, Y Deng, S Gross, M Ott, MA Ranzato, A Szlam Journal of Machine Learning Research 22 (40), 1-41, 2021 | 166* | 2021 |
| PyTorch A Paszke, S Gross, S Chintala, G Chanan Computer software. Vers. 0.3 1, 2016 | 114 | 2016 |
| 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 | 93 | 2017 |
| Airblue: A system for cross-layer wireless protocol development MC Ng, KE Fleming, M Vutukuru, S Gross, Arvind, H Balakrishnan Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking …, 2010 | 80 | 2010 |
| & Lerer, A.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito Automatic differentiation in pytorch, 2017 | 66 | 2017 |
| Advances in Neural Information Processing Systems 32, Curran Associates A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Inc., New York, 8024, 2019 | 58 | 2019 |
| PyTorch: An imperative style, high-performance deep learning library.(NeurIPS)(2019) A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... | 11 | 1912 |
| WiLIS: Architectural modeling of wireless systems KE Fleming, MC Ng, S Gross (IEEE ISPASS) IEEE International Symposium on Performance Analysis of …, 2011 | 8 | 2011 |
| Chintala S.(2019) A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Pytorch: An imperative style, high-performance deep learning library …, 0 | 8 | |
| Hardware implementation of wireless bit rate adaptation SA Gross Massachusetts Institute of Technology, 2010 | | 2010 |
Soumith ChintalaMeta AIПотвърден имейл адрес: nyu.edu
