| Convergence of Adversarial Training in Overparametrized Neural Networks | Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee |
| Discriminator optimal transport | Akinori Tanaka |
| Learning from Label Proportions with Generative Adversarial Networks | Jiabin Liu · Bo Wang · Zhiquan Qi · YingJie Tian · Yong Shi |
| Learning GANs and Ensembles Using Discrepancy | Ben Adlam · Corinna Cortes · Mehryar Mohri · Ningshan Zhang |
| MarginGAN: Adversarial Training in Semi-Supervised Learning | Jinhao Dong · Tong Lin |
| Modeling Tabular data using Conditional GAN | Lei Xu · Maria Skoularidou · Alfredo Cuesta-Infante · Kalyan Veeramachaneni |
| Beyond the Single Neuron Convex Barrier for Neural Network Certification | Gagandeep Singh · Rupanshu Ganvir · Markus Püschel · Martin Vechev |
| Quality Aware Generative Adversarial Networks | KANCHARLA PARIMALA · Sumohana Channappayya |
| Random deep neural networks are biased towards simple functions | Giacomo De Palma · Bobak Kiani · Seth Lloyd |
| Reducing Noise in GAN Training with Variance Reduced Extragradient | Tatjana Chavdarova · Gauthier Gidel · François Fleuret · Simon Lacoste-Julien |
| Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game | Ngoc-Trung Tran · Viet-Hung Tran · Bao-Ngoc Nguyen · Linxiao Yang · Ngai-Man (Man) Cheung |
| The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection | Vladimir V. Kniaz · Vladimir Knyaz · Fabio Remondino |
| Training Language GANs from Scratch | Cyprien de Masson d'Autume · Shakir Mohamed · Mihaela Rosca · Jack Rae |
| Zero-shot Knowledge Transfer via Adversarial Belief Matching | Paul Micaelli · Amos Storkey |