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2020 – today
- 2021
[j1]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Residual Energy-Based Models for Text. J. Mach. Learn. Res. 22: 40:1-40:41 (2021)- 2020
- [i9]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Energy-Based Models for Text. CoRR abs/2004.10188 (2020)
2010 – 2019
- 2019
- [c6]Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm:
Deep Counterfactual Regret Minimization. ICML 2019: 793-802 - [c5]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. NAACL-HLT (Demonstrations) 2019: 48-53 - [c4]Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS 2019: 8024-8035 - [i8]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. CoRR abs/1904.01038 (2019) - [i7]Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam:
Real or Fake? Learning to Discriminate Machine from Human Generated Text. CoRR abs/1906.03351 (2019) - [i6]Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR abs/1912.01703 (2019) - 2018
- [i5]Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm:
Deep Counterfactual Regret Minimization. CoRR abs/1811.00164 (2018) - 2017
- [c3]Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam:
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CVPR 2017: 5085-5093 - [i4]Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam:
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CoRR abs/1704.06363 (2017) - 2016
- [c2]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. BMVC 2016 - [c1]Adam Lerer, Sam Gross, Rob Fergus:
Learning Physical Intuition of Block Towers by Example. ICML 2016: 430-438 - [i3]Adam Lerer, Sam Gross, Rob Fergus:
Learning Physical Intuition of Block Towers by Example. CoRR abs/1603.01312 (2016) - [i2]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. CoRR abs/1604.02135 (2016) - [i1]Emily L. Denton, Sam Gross, Rob Fergus:
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks. CoRR abs/1611.06430 (2016)
Coauthor Index
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