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Workshop
Sat 10:20 BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
Maxime Chevalier-Boisvert
Poster
Tue 7:45 Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin Elsayed · Shreya Shankar · Brian Cheung · Nicolas Papernot · Alexey Kurakin · Ian Goodfellow · Jascha Sohl-Dickstein
Tutorial
Mon 8:00 Common Pitfalls for Studying the Human Side of Machine Learning
Deirdre Mulligan · Nitin Kohli · Joshua Kroll
Workshop
Sat 6:30 Inference and control of rules in human hierarchical reinforcement learning (Anne Collins)
Anne Collins
Poster
Wed 14:00 Long short-term memory and Learning-to-learn in networks of spiking neurons
Guillaume Bellec · Darjan Salaj · Anand Subramoney · Robert Legenstein · Wolfgang Maass
Poster
Thu 14:00 Neural Architecture Optimization
Renqian Luo · Fei Tian · Tao Qin · Enhong Chen · Tie-Yan Liu
Poster
Tue 7:45 The Importance of Sampling inMeta-Reinforcement Learning
Bradly Stadie · Ge Yang · Rein Houthooft · Peter Chen · Yan Duan · Yuhuai Wu · Pieter Abbeel · Ilya Sutskever
Poster
Thu 7:45 Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn · Kelvin Xu · Sergey Levine
Poster
Thu 7:45 Meta-Learning MCMC Proposals
Tongzhou Wang · YI WU · Dave Moore · Stuart Russell
Poster
Tue 14:00 Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn
Poster
Wed 14:00 Online Robust Policy Learning in the Presence of Unknown Adversaries
Aaron Havens · Zhanhong Jiang · Soumik Sarkar
Spotlight
Tue 12:40 Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn