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Poster
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Thu 14:30
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Diagnosing and Enhancing VAE Models
Bin Dai · David Wipf
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Poster
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Thu 14:30
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MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma · Chunting Zhou · Eduard Hovy
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Poster
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Thu 14:30
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Variational Autoencoders with Jointly Optimized Latent Dependency Structure
Jiawei He · Yu Gong · Joe Marino · Greg Mori · Andreas Lehrmann
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Poster
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Thu 14:30
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Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov · Mikhail Figurnov · Dmitry P. Vetrov
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Poster
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Thu 9:00
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Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Caio Corro · Ivan Titov
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Poster
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Thu 14:30
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Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He · Daniel Spokoyny · Graham Neubig · Taylor Berg-Kirkpatrick
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Poster
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Thu 14:30
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Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
George Tucker · Dieterich Lawson · Shixiang Gu · Chris J Maddison
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Poster
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Tue 14:30
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SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin · Matthias Hüser · Francesco Locatello · Heiko Strathmann · Gunnar Rätsch
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Poster
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Tue 14:30
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Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
Xiaopeng Li · Zhourong Chen · Leonard Poon · Nevin Zhang
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