Sam Gross

According to our database1, Sam Gross authored at least 10 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Residual Energy-Based Models for Text.
J. Mach. Learn. Res., 2021

2020
Energy-Based Models for Text.
CoRR, 2020

2019
Real or Fake? Learning to Discriminate Machine from Human Generated Text.
CoRR, 2019

PyTorch: An Imperative Style, High-Performance Deep Learning Library.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

fairseq: A Fast, Extensible Toolkit for Sequence Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Deep Counterfactual Regret Minimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks.
CoRR, 2016

Learning Physical Intuition of Block Towers by Example.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A MultiPath Network for Object Detection.
Proceedings of the British Machine Vision Conference 2016, 2016


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