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Poster
Thu 17:00 Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman · R Devon Hjelm · William Buchwalter
Poster
Wed 17:00 A New Distribution on the Simplex with Auto-Encoding Applications
Andrew Stirn · Tony Jebara · David Knowles
Poster
Tue 10:45 Semi-supervisedly Co-embedding Attributed Networks
Zaiqiao Meng · Shangsong Liang · Jinyuan Fang · Teng Xiao
Poster
Wed 17:00 The Thermodynamic Variational Objective
Vaden Masrani · Tuan Anh Le · Frank Wood
Poster
Wed 17:00 Learning Disentangled Representations for Recommendation
Jianxin Ma · Chang Zhou · Peng Cui · Hongxia Yang · Wenwu Zhu
Poster
Wed 17:00 Zero-shot Learning via Simultaneous Generating and Learning
Hyeonwoo Yu · Beomhee Lee
Poster
Tue 17:30 On Adversarial Mixup Resynthesis
Christopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal
Poster
Wed 17:00 Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
Nataša Tagasovska · Damien Ackerer · Thibault Vatter
Poster
Thu 17:00 PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
David Novotny · Ben Graham · Jeremy Reizenstein
Poster
Wed 10:45 The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-Ganem · John Cunningham
Poster
Wed 10:45 Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
Mohammad Reza Keshtkaran · Chethan Pandarinath
Poster
Thu 17:00 Disentangling Influence: Using disentangled representations to audit model predictions
Charles Marx · Richard Lanas Phillips · Sorelle Friedler · Carlos Scheidegger · Suresh Venkatasubramanian