Pierre Foret

According to our database, Pierre Foret authored at least 4 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Sharpness-aware Minimization for Efficiently Improving Generalization.

Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning.

Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur

CoRR, 2020

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.

Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

A Multilingual View of Unsupervised Machine Translation.

Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020