Sam Gross

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 16

Top Topics

Human Generated

Unsupervised Learning

Multi Path Routing

Top Venues

J. Mach. Learn. Res.

Publications

Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
Residual Energy-Based Models for Text. J. Mach. Learn. Res. 22 (2021)
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
Energy-Based Models for Text. CoRR (2020)
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 (2019)
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 (2019)
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)
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)
Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm
Deep Counterfactual Regret Minimization. ICML (2019)
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 (2019)
Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm
Deep Counterfactual Regret Minimization. CoRR (2018)
Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CVPR (2017)
Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. CoRR (2017)
Adam Lerer, Sam Gross, Rob Fergus
Learning Physical Intuition of Block Towers by Example. ICML (2016)
Emily L. Denton, Sam Gross, Rob Fergus
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks. CoRR (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. CoRR (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. BMVC (2016)
Adam Lerer, Sam Gross, Rob Fergus
Learning Physical Intuition of Block Towers by Example. CoRR (2016)