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Poster
Wed 18:30 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro · Simon Kamronn · Ulrich Paquet · Ole Winther
Poster
Mon 18:30 Deep Subspace Clustering Networks
Pan Ji · Tong Zhang · Hongdong Li · Mathieu Salzmann · Ian Reid
Poster
Wed 18:30 Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder · Yuhuai Wu · David Duvenaud
Poster
Wed 18:30 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
Poster
Wed 18:30 PixelGAN Autoencoders
Alireza Makhzani · Brendan J Frey
Poster
Mon 18:30 Reconstruct & Crush Network
Erinc Merdivan · Mohammad Reza Loghmani · Matthieu Geist
Poster
Mon 18:30 Pose Guided Person Image Generation
Liqian Ma · Xu Jia · Qianru Sun · Bernt Schiele · Tinne Tuytelaars · Luc Van Gool
Poster
Mon 18:30 Fader Networks:Manipulating Images by Sliding Attributes
Guillaume Lample · Neil Zeghidour · Nicolas Usunier · Antoine Bordes · Ludovic DENOYER · Marc'Aurelio Ranzato
Poster
Tue 18:30 VAE Learning via Stein Variational Gradient Descent
Yuchen Pu · Zhe Gan · Ricardo Henao · Chunyuan Li · Shaobo Han · Lawrence Carin
Poster
Wed 18:30 Structured Generative Adversarial Networks
Zhijie Deng · Hao Zhang · Xiaodan Liang · Luona Yang · Shizhen Xu · Jun Zhu · Eric Xing
Workshop
Sat 9:40 Denoising scRNA-seq Data Using Deep Count Autoencoders (Gökcen Eraslan)
Poster
Wed 18:30 Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal · Nan Rosemary Ke · Surya Ganguli · Yoshua Bengio