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Workshop
Fri 9:00 Contributed talk: Learning Implicit Generative Models Using Differentiable Graph Tests
Josip Djolonga
Workshop
Sat 13:30 Federated learning for model training on decentralized data
Daniel Ramage
Poster
Wed 18:30 Dual Discriminator Generative Adversarial Nets
Tu Nguyen · Trung Le · Hung Vu · Dinh Phung
Poster
Wed 18:30 Concrete Dropout
Yarin Gal · Jiri Hron · Alex Kendall
Poster
Wed 18:30 Spherical convolutions and their application in molecular modelling
Wouter Boomsma · Jes Frellsen
Poster
Mon 18:30 VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
Poster
Tue 18:30 Neural Discrete Representation Learning
Aaron van den Oord · Oriol Vinyals · koray kavukcuoglu
Poster
Tue 18:30 Cold-Start Reinforcement Learning with Softmax Policy Gradient
Nan Ding · Radu Soricut
Workshop
Fri 16:45 Learning Against Non-Stationary Agents with Opponent Modeling & Deep Reinforcement Learning
Richard Everett
Poster
Mon 18:30 Gaussian process based nonlinear latent structure discovery in multivariate spike train data
Anqi Wu · Nicholas Roy · Stephen Keeley · Jonathan Pillow
Spotlight
Tue 11:25 Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen · Harri Valpola
Poster
Mon 18:30 Saliency-based Sequential Image Attention with Multiset Prediction
Sean Welleck · Jialin Mao · Kyunghyun Cho · Zheng Zhang