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Throwing Away Data Improves Worst-Class Error in Imbalanced Classification


May 23, 2022
Martin Arjovsky, Kamalika Chaudhuri, David Lopez-Paz

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Simple data balancing achieves competitive worst-group-accuracy


Oct 27, 2021
Badr Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki, David Lopez-Paz

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Out of Distribution Generalization in Machine Learning


Mar 03, 2021
Martin Arjovsky

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Linear unit-tests for invariance discovery


Feb 22, 2021
Benjamin Aubin, Agnieszka Słowik, Martin Arjovsky, Leon Bottou, David Lopez-Paz

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* 5 pages, Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural Information Processing Systems 

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Low Distortion Block-Resampling with Spatially Stochastic Networks


Jun 09, 2020
Sarah Jane Hong, Martin Arjovsky, Ian Thompson, Darryl Barnhardt

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Symplectic Recurrent Neural Networks


Sep 29, 2019
Zhengdao Chen, Jianyu Zhang, Martin Arjovsky, Léon Bottou

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Invariant Risk Minimization


Jul 05, 2019
Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz

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Geometrical Insights for Implicit Generative Modeling


Mar 12, 2018
Leon Bottou, Martin Arjovsky, David Lopez-Paz, Maxime Oquab

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Improved Training of Wasserstein GANs


Dec 25, 2017
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, Aaron Courville

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* NIPS camera-ready 

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Wasserstein GAN


Dec 06, 2017
Martin Arjovsky, Soumith Chintala, Léon Bottou

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