[ Opening Remarks]  [ Why the mind evolved]  [ Distinctive intelligence of children]  [ Learning from first principles]  [ Panel 1]  [ Types of Intelligence]  [ Artifical General Intelligence]  [ Video games and collaborative AI]  [ Panel 2] 

[ Opening]  [ Evolving Multitask]  [ Evolving to Learning]  [ PathNet]  [ Bayesian Opt]  [ AutoML]  [ Contrasting Model]  [ Population-based Training]  [ Learning to Learn]  [ Learning Strategies]  [ Intrinsically Motivated RL]  [ Self-Play]  [ Neural Architecture Search]  [ Multiple scales]  [ Panel] 

[ Opening Remarks]  [ Masked Autoregressive]  [ Deep Sets]  [ David Bayesian Sparsity]  [ Causality for Interpretability]  [ Interpretable Discovery]  [ Spotlight talks]  [ Explainablity challenge]  [ Cost of Calibration]  [ Panel 1]  [ Interpretability for AI safety]  [ Manipulating and Measuring Model Interpretability.]  [ Debugging the ML Pipeline.]  [ Panel 2] 

[ Mastering Games]  [ Soft Actor-Critic]  [ Active Neural Localization]  [ NLP Search]  [ Reproducibility]  [ Backprop thru Void]  [ Parameter Space Noise]  [ Time-Contrastive]  [ Neural Map]  [ Variance Reduction]  [ Sample-efficient Policy Optimization]  [ One-Shot Visual Imitation]  [ Deep Exploration]  [ StarCraft II]  [ Neural Network Dynamics]  [ Overcoming Exploration in RL]