79 citations · 143 across the 3 of their papers we have counts for
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stat.ML2021★ 51 cited
Out of Distribution Generalization in Machine Learning
Martin Arjovsky
Machine learning has achieved tremendous success in a variety of domains in recent years. However, a lot of these success stories have been in places where the training and the tes…
stat.ML2020
Low Distortion Block-Resampling with Spatially Stochastic Networks
Sarah Jane Hong, Martin Arjovsky, Darryl Barnhart +1
We formalize and attack the problem of generating new images from old ones that are as diverse as possible, only allowing them to change without restrictions in certain parts of th…
stat.ML2019
Invariant Risk Minimization
Martin Arjovsky, Léon Bottou, Ishaan Gulrajani +1
We introduce Invariant Risk Minimization (IRM), a learning paradigm to estimate invariant correlations across multiple training distributions. To achieve this goal, IRM learns a da…