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Poster
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Mon 18:30
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Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Chris Metzler · Ali Mousavi · Richard Baraniuk
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Poster
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Tue 18:30
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Non-parametric Structured Output Networks
Andreas Lehrmann · Leonid Sigal
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Poster
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Mon 18:30
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Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin · Gemma Roig · Tomaso Poggio
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Invited Talk
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Wed 13:50
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Deep Learning for Robotics
Pieter Abbeel
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Spotlight
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Thu 12:05
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Nonlinear random matrix theory for deep learning
Jeffrey Pennington · Pratik Worah
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Poster
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Tue 18:30
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen · Harri Valpola
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Poster
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Tue 18:30
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QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus · David Hsu · Wee Sun Lee
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Workshop
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Sat 16:00
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Progress on Deep Reinforcement Learning with Temporal Abstraction (Doina Precup)
Doina Precup
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Poster
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Mon 18:30
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Real Time Image Saliency for Black Box Classifiers
Piotr Dabkowski · Yarin Gal
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Invited Talk
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Thu 9:50
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On Bayesian Deep Learning and Deep Bayesian Learning
Yee Whye Teh
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Workshop
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Sat 14:20
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Effective Master-Slave Communication On A Multi-Agent Deep Reinforcement Learning System (Xiangyu Kong)
Xiangyu Kong
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Workshop
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Sat 8:00
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Deep Learning: Bridging Theory and Practice
Sanjeev Arora · Maithra Raghu · Russ Salakhutdinov · Ludwig Schmidt · Oriol Vinyals
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