no code implementations • Findings of the Association for Computational Linguistics 2020 • Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh
We present a probabilistic framework for multilingual neural machine translation that encompasses supervised and unsupervised setups, focusing on unsupervised translation.
14 code implementations • ICLR 2021 • Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur
In today's heavily overparameterized models, the value of the training loss provides few guarantees on model generalization ability.
Ranked #1 on Image Classification on CIFAR-100 (using extra training data)
Fine-Grained Image Classification Learning with noisy labels
no code implementations • 14 Dec 2020 • Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur
Understanding generalization in deep learning is arguably one of the most important questions in deep learning.