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Poster
Tue 7:00 Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li · Benjamin M Marlin
Poster
Tue 7:00 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Yonggan Fu · Wuyang Chen · Haotao Wang · Haoran Li · Yingyan Lin · Zhangyang Wang
Poster
Tue 8:00 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Yufeng Zhang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Tue 9:00 Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning
Sang-Hyun Lee · Seung-Woo Seo
Poster
Tue 9:00 Feature Quantization Improves GAN Training
Yang Zhao · Chunyuan Li · Ping Yu · Jianfeng Gao · Changyou Chen
Poster
Tue 12:00 SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany · Kira Radinsky · Daniel Freedman
Poster
Tue 12:00 Learning disconnected manifolds: a no GAN's land
Ugo Tanielian · Thibaut Issenhuth · Elvis Dohmatob · Jeremie Mary
Poster
Tue 14:00 Continuously Indexed Domain Adaptation
Hao Wang · Hao He · Dina Katabi
Poster
Wed 10:00 Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha · Han Zhang · Anirudh Goyal · Yoshua Bengio · Hugo Larochelle · Augustus Odena
Poster
Wed 10:00 NetGAN without GAN: From Random Walks to Low-Rank Approximations
Luca Rendsburg · Holger Heidrich · Ulrike von Luxburg
Poster
Wed 13:00 Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank · Thorsten Eisenhofer · Lea Schönherr · Asja Fischer · Dorothea Kolossa · Thorsten Holz
Poster
Wed 16:00 On Relativistic f-Divergences
Alexia Jolicoeur-Martineau