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- Causal Reasoning from Meta-reinforcement Learning, Ishita Dasgupta, Jane Wang, Silvia Chiappa, Jovana Mitrovic, Pedro Ortega, David Raposo, Edward Hughes, Peter Battaglia, Matthew Botvinick, Zeb Kurth-Nelson
- GAN Dissection: Visualizing and Understanding Generative Adversarial Networks, David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
- Visualizing the Loss Landscape of Neural Nets, Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer, Tom Goldstein
- Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results, R. Silberzahn, et al.
- Delayed Impact of Fair Machine Learning, Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt