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Oral
Thu Jun 13 04:00 PM -- 04:20 PM (PDT) @ Grand Ballroom
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering
Shanmukha Ramakrishna Vedantam · Karan Desai · Stefan Lee · Marcus Rohrbach · Dhruv Batra · Devi Parikh
Oral
Thu Jun 13 04:20 PM -- 04:25 PM (PDT) @ Grand Ballroom
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos Panousis · Sotirios Chatzis · Sergios Theodoridis
Oral
Thu Jun 13 04:25 PM -- 04:30 PM (PDT) @ Grand Ballroom
Good Initializations of Variational Bayes for Deep Models
Simone Rossi · Pietro Michiardi · Maurizio Filippone
[ Slides
Oral
Thu Jun 13 04:30 PM -- 04:35 PM (PDT) @ Grand Ballroom
Dropout as a Structured Shrinkage Prior
Eric Nalisnick · Jose Miguel Hernandez-Lobato · Padhraic Smyth
[ Slides
Oral
Thu Jun 13 04:35 PM -- 04:40 PM (PDT) @ Grand Ballroom
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin · Yuguang Yue · Mingyuan Zhou
[ Slides
Oral
Thu Jun 13 04:40 PM -- 05:00 PM (PDT) @ Grand Ballroom
On Variational Bounds of Mutual Information
Ben Poole · Sherjil Ozair · AƤron van den Oord · Alexander Alemi · George Tucker
Oral
Thu Jun 13 05:00 PM -- 05:05 PM (PDT) @ Grand Ballroom
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
Samuel Wiqvist · Pierre-Alexandre Mattei · Umberto Picchini · Jes Frellsen
[ Slides
Oral
Thu Jun 13 05:05 PM -- 05:10 PM (PDT) @ Grand Ballroom
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang · Kris Sankaran · Eeshan Dhekane · Alexandre Lacoste · Aaron Courville
[ Slides
Oral
Thu Jun 13 05:10 PM -- 05:15 PM (PDT) @ Grand Ballroom
Faster Attend-Infer-Repeat with Tractable Probabilistic Models
Karl Stelzner · Robert Peharz · Kristian Kersting
[ Slides
Oral
Thu Jun 13 05:15 PM -- 05:20 PM (PDT) @ Grand Ballroom
Understanding Priors in Bayesian Neural Networks at the Unit Level
Mariia Vladimirova · Jakob Verbeek · Pablo Mesejo · Julyan Arbel
[ Slides