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25 Results
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Spotlight
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Thu 13:50 |
Disentangled Recurrent Wasserstein Autoencoder Jun Han · Martin Min · Ligong Han · Erran Li · Xuan Zhang |
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Poster
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Thu 17:00 |
Generative Scene Graph Networks Fei Deng · Zhuo Zhi · Donghun Lee · Sungjin Ahn |
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Poster
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Mon 1:00 |
Overfitting for Fun and Profit: Instance-Adaptive Data Compression Ties van Rozendaal · Iris Huijben · Taco Cohen |
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Poster
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Wed 9:00 |
Anytime Sampling for Autoregressive Models via Ordered Autoencoding Yilun Xu · Yang Song · Sahaj Garg · Linyuan Gong · Rui Shu · Aditya Grover · Stefano Ermon |
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Poster
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Mon 9:00 |
The role of Disentanglement in Generalisation Milton Montero · Casimir JH Ludwig · Rui Ponte Costa · Gaurav Malhotra · Jeffrey Bowers |
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Poster
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Tue 1:00 |
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling Đorđe Miladinović · Aleksandar Stanić · Stefan Bauer · Jürgen Schmidhuber · Joachim M Buhmann |
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Poster
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Tue 1:00 |
Capturing Label Characteristics in VAEs Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth |
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Poster
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Tue 9:00 |
Learning a Latent Search Space for Routing Problems using Variational Autoencoders André Hottung · Bhanu Bhandari · Kevin Tierney |
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Poster
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Wed 1:00 |
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen · Son Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Spotlight
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Wed 13:28 |
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao · Karsten Kreis · Jan Kautz · Arash Vahdat |
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Poster
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Mon 17:00 |
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong |
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Spotlight
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Mon 21:56 |
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning Dong Bok Lee · Dongchan Min · Seanie Lee · Sung Ju Hwang |