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Workshop
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Sat 9:30
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Role of AI and Deep Learning in Radiology (IBM)
Tanveer Syeda-Mahmood
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Poster
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Tue 18:30
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Robust Optimization for Non-Convex Objectives
Robert S Chen · Brendan Lucier · Yaron Singer · Vasilis Syrgkanis
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Poster
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Tue 18:30
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Learned in Translation: Contextualized Word Vectors
Bryan McCann · James Bradbury · Caiming Xiong · Richard Socher
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Poster
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Wed 18:30
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Spherical convolutions and their application in molecular modelling
Wouter Boomsma · Jes Frellsen
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Spotlight
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Tue 11:25
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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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Spotlight
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Tue 17:25
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall · Yarin Gal
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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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Workshop
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Fri 11:30
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Wei-cheng Chang (CMU) on Deep Learning Approach for Extreme Multi-label Text Classification
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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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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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Shallow Updates for Deep Reinforcement Learning
Nir Levine · Tom Zahavy · Daniel J Mankowitz · Aviv Tamar · Shie Mannor
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