Search All 2022 Events
 

43 Results

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Poster
Wed 18:30 Stein Latent Optimization for Generative Adversarial Networks
Uiwon Hwang · Heeseung Kim · Dahuin Jung · Hyemi Jang · Hyungyu Lee · Sungroh Yoon
Workshop
Conditional Generative Quantile Networks via Optimal Transport
Jesse Sun · Dihong Jiang · Yaoliang Yu
Poster
Mon 10:30 On Predicting Generalization using GANs
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
Spotlight
Mon 10:30 On Predicting Generalization using GANs
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
Poster
Mon 10:30 MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Ahmed Imtiaz Humayun · Randall Balestriero · Richard Baraniuk
Poster
Thu 10:30 TPU-GAN: Learning temporal coherence from dynamic point cloud sequences
Zijie Li · Tianqin Li · Amir Barati Farimani
Poster
Mon 10:30 Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
Peihao Zhu · Rameen Abdal · John Femiani · Peter Wonka
Poster
Thu 2:30 PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
Seng Pei Liew · Tsubasa Takahashi · Michihiko Ueno
Workshop
Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations
Hao Shen · Weikang Wan · He Wang
Poster
Thu 2:30 Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization
Biao Zhang · Peter Wonka
Poster
Thu 10:30 Minimax Optimization with Smooth Algorithmic Adversaries
Tanner Fiez · Chi Jin · Praneeth Netrapalli · Lillian J Ratliff
Poster
Mon 2:30 Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Mohamad Shahbazi · Martin Danelljan · Danda Paudel · Luc Van Gool