1:00 - 1:10 Opening remarks Organizers
1:10 - 1:30 Less-supervised loss functions for training models of the visual system Dan Yamins
1:30 - 1:50 Prefrontal cortex as a meta-reinforcement learning system Matt Botvinick
1:50 - 2:10 Leveraging deep learning to study representations underlying human cognition Joshua Peterson
2:10 - 2:30 Modeling "analysis by synthesis" in perception by combining generative models and deep inverse networks Joshua Tenenbaum
2:30 - 2:50 Coffee Break
2:50 - 3:10 Metacontrol for Adaptive Imagination Based Optimization Jessica Hamrick
3:10 - 3:30 Understanding neural models of human language Tal Linzen
3:30 - 4:00 Panel Discussion