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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…
cs.LG2019★ 7 cited
Learning about an exponential amount of conditional distributions
Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun +1
We introduce the Neural Conditioner (NC), a self-supervised machine able to learn about all the conditional distributions of a random vector . The NC is a function $NC(x \cdot a…