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Richard Zemel

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Shortcut Learning in Deep Neural Networks

May 20, 2020
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann

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Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling

Feb 14, 2020
Will Grathwohl, Kuan-Chieh Wang, Jorn-Henrik Jacobsen, David Duvenaud, Richard Zemel

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A Divergence Minimization Perspective on Imitation Learning Methods

Nov 06, 2019
Seyed Kamyar Seyed Ghasemipour, Richard Zemel, Shixiang Gu

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Causal Modeling for Fairness in Dynamical Systems

Sep 18, 2019
Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel

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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

Jun 22, 2019
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, Shengyu Zhang

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Flexibly Fair Representation Learning by Disentanglement

Jun 06, 2019
Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard Zemel

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Conditional Generative Models are not Robust

Jun 04, 2019
Ethan Fetaya, Jörn-Henrik Jacobsen, Richard Zemel

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