A MultiPath Network for Object Detection. - Sergey Zagoruyko; Adam Lerer; Tsung-Yi Lin; Pedro Oliveira Pinheiro; Sam Gross; Soumith Chintala; Piotr Dollár (BMVC, 2016)

Learning Physical Intuition of Block Towers by Example. - Adam Lerer; Sam Gross; Rob Fergus (ICML, 2016)

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks. - Emily L. Denton; Sam Gross; Rob Fergus (CoRR, 2016)

Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. - Sam Gross; Marc'Aurelio Ranzato; Arthur Szlam (CVPR, 2017)

Deep Counterfactual Regret Minimization. - Noam Brown; Adam Lerer; Sam Gross; Tuomas Sandholm (ICML, 2019)

fairseq: A Fast, Extensible Toolkit for Sequence Modeling. - Myle Ott; Sergey Edunov; Alexei Baevski; Angela Fan; Sam Gross; Nathan Ng 001; David Grangier; Michael Auli (NAACL-HLT (Demonstrations), 2019)

PyTorch: An Imperative Style, High-Performance Deep Learning Library. - Adam Paszke; Sam Gross; Francisco Massa; Adam Lerer; James Bradbury; Gregory Chanan; Trevor Killeen; Zeming Lin; Natalia Gimelshein; Luca Antiga; Alban Desmaison; Andreas Köpf; et al. (NeurIPS, 2019)

Real or Fake? Learning to Discriminate Machine from Human Generated Text. - Anton Bakhtin; Sam Gross; Myle Ott; Yuntian Deng; Marc'Aurelio Ranzato; Arthur Szlam (CoRR, 2019)

Energy-Based Models for Text. - Anton Bakhtin; Yuntian Deng; Sam Gross; Myle Ott; Marc'Aurelio Ranzato; Arthur Szlam (CoRR, 2020)

Residual Energy-Based Models for Text. - Anton Bakhtin; Yuntian Deng; Sam Gross; Myle Ott; Marc'Aurelio Ranzato; Arthur Szlam (J. Mach. Learn. Res., 2021)