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Poster
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Thu 14:30
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Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
Tue Le · Tuan Nguyen · Trung Le · Dinh Phung · Paul Montague · Olivier Vel · Lizhen Qu
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Poster
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Tue 9:00
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Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision
José Lezama
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Poster
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Tue 14:30
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Robust Conditional Generative Adversarial Networks
Grigorios Chrysos · Jean Kossaifi · Stefanos Zafeiriou
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Poster
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Thu 9:00
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Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul · Alan Fern · Samuel Greydanus
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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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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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Wed 9:00
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On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
Ping Li · Phan-Minh Nguyen
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Oral
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Mon 13:15
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On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
Ping Li · Phan-Minh Nguyen
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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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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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Poster
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Tue 14:30
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Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot · Colin Raffel · Aurko Roy · Ian Goodfellow
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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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