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Workshop
Sat 16:50 POSTER: Variational probability flow for biologically plausible training of deep neural networks
ZUOZHU LIU · Shaowei Lin
Poster
Wed 18:30 Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal · Nan Rosemary Ke · Surya Ganguli · Yoshua Bengio
Poster
Wed 18:30 A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot · Vinicius Zambaldi · Audrunas Gruslys · Angeliki Lazaridou · Karl Tuyls · Julien Perolat · David Silver · Thore Graepel
Poster
Tue 18:30 Hierarchical Attentive Recurrent Tracking
Adam Kosiorek · Alex Bewley · Ingmar Posner
Poster
Tue 18:30 MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Jiajun Wu · Yifan Wang · Tianfan Xue · Xingyuan Sun · Bill Freeman · Josh Tenenbaum
Poster
Tue 18:30 Continual Learning with Deep Generative Replay
Hanul Shin · Jung Kwon Lee · Jaehong Kim · Jiwon Kim
Workshop
Sat 14:00 Deep Abstract Q-Networks (Melrose Roderick)
Melrose Roderick
Workshop
Fri 16:15 Towards Verification of Deep Neural Networks
Clark Barrett
Workshop
Sat 11:00 More Steps towards Biologically Plausible Backprop
Yoshua Bengio
Poster
Wed 18:30 Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
Chengxu Zhuang · Jonas Kubilius · Mitra JZ Hartmann · Daniel Yamins
Poster
Tue 18:30 Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
Seunghyun Park · Seonwoo Min · Hyun-Soo Choi · Sungroh Yoon
Workshop
Sat 17:00 Daniel Roy - Deep Neural Networks: From Flat Minima to Numerically Nonvacuous Generalization Bounds via PAC-Bayes
Daniel Roy