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Sam Gross
Sam Gross
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Cited by
Year
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
541992019
Automatic differentiation in pytorch
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
158132017
fairseq: A fast, extensible toolkit for sequence modeling
M Ott
arXiv preprint arXiv:1904.01038, 2019
33322019
Learning physical intuition of block towers by example
A Lerer, S Gross, R Fergus
International conference on machine learning, 430-438, 2016
3592016
A multipath network for object detection
S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollįr
arXiv preprint arXiv:1604.02135, 2016
2942016
Deep counterfactual regret minimization
N Brown, A Lerer, S Gross, T Sandholm
International conference on machine learning, 793-802, 2019
2922019
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
219*2021
Training and investigating residual nets (2016)
S Gross, M Wilber
http://torch.ch/blog/2016/02/04/resnets.html, 2016
209*2016
Semi-supervised learning with context-conditional generative adversarial networks
E Denton, S Gross, R Fergus
arXiv preprint arXiv:1611.06430, 2016
2002016
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
1162017
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
722010
Pytorch: An imperative style, highperformance deep learning library
FMALJ Bradbury, GCTKZ Lin, NGLAA Desmaison, AKEYZ DeVito, ...
Neural Information Processing Systems (NeurIPS), 2019
562019
PyTorch: an imperative style, high-performance deep learning library, December 2019
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
URL http://arxiv. org/abs/1912.01703, 1912
491912
An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, JP Bradbury, G Chanan, T Killeen, ...
Adv. Neural Inf. Process. Syst 32, 8026, 1912
371912
WiLIS: Architectural modeling of wireless systems
KE Fleming, MC Ng, S Gross
(IEEE ISPASS) IEEE International Symposium on Performance Analysis of …, 2011
92011
PyTorch: an imperative style, high-performance deep learning library, advances in neural information processing s-ystems; 32: 8026–8037
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
61912
Pytorch: An imperative style, high-performance deep learning library, vol. 32
A Paszke, S Gross, F Massa
Curran Associates, Inc, 8024-8035, 0
2
G, Chanan, E
A Paszke, S Gross, S Chintala
Yang, Z. DeVito, Z. Lin, A. Desmaison A, L. Antiga, and A. Lerer,“PyTorch …, 0
2
Hardware implementation of wireless bit rate adaptation
SA Gross
Massachusetts Institute of Technology, 2010
2010
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Articles 1–19