38 Results

AffinityWorkshop
Mon 9:45 Breakout Session 3.8: Optimization Challenges of Generative Adversarial Networks
Poster
Tue 7:00 Fair Generative Modeling via Weak Supervision
Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon
Poster
Tue 7:00 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin, Praneeth Netrapalli, Michael Jordan
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 7:00 Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
Tanner Fiez, Benjamin Chasnov, Lillian Ratliff
Poster
Tue 7:00 Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steve Li, Benjamin M Marlin
Poster
Tue 8:00 Invariant Risk Minimization Games
Kartik Ahuja, Karthikeyan Shanmugam, Kush Varshney, Amit Dhurandhar
Poster
Tue 9:00 Feature Quantization Improves GAN Training
Yang Zhao, Chunyuan Li, Iris Yu, Jianfeng Gao, Changyou Chen
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 10:00 Training Deep Energy-Based Models with f-Divergence Minimization
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
Poster
Tue 10:00 Fully Parallel Hyperparameter Search: Reshaped Space-Filling
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jeremy Rapin, Morgane Riviere, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
Poster
Tue 12:00 Learning disconnected manifolds: a no GAN's land
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jeremie Mary
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 14:00 Continuously Indexed Domain Adaptation
Hao Wang, Hao He, Dina Katabi
Poster
Wed 8:00 InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Zinan Lin, Kiran Thekumparampil, Giulia Fanti, Sewoong Oh
Poster
Wed 10:00 NetGAN without GAN: From Random Walks to Low-Rank Approximations
Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg
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 11:00 Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
Poster
Wed 13:00 Discriminative Adversarial Search for Abstractive Summarization
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
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 Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, SeongUk Park, Kim Jangho, NOJUN KWAK
Poster
Wed 16:00 On Relativistic f-Divergences
Alexia Jolicoeur-Martineau
Poster
Thu 6:00 Do GANs always have Nash equilibria?
Farzan Farnia, Asuman Ozdaglar
Poster
Thu 6:00 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh
Poster
Thu 6:00 Bridging the Gap Between f-GANs and Wasserstein GANs
Jiaming Song, Stefano Ermon
Poster
Thu 6:00 On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Darren Lin, Chi Jin, Michael Jordan
Poster
Thu 6:00 T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon, Young Oh Bang, Junyaup Kim, Simon Woo
Poster
Thu 7:00 Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
Poster
Thu 7:00 On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao, Yulai Cong, Lawrence Carin
Poster
Thu 7:00 Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Taufik Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Poster
Thu 7:00 Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit Patel, Anima Anandkumar
Poster
Thu 8:00 SGD Learns One-Layer Networks in WGANs
Qi Lei, Jason Lee, Alex Dimakis, Constantinos Daskalakis
Poster
Thu 9:00 Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov, Artem Babenko
Poster
Thu 12:00 Extra-gradient with player sampling for faster convergence in n-player games
Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
Poster
Thu 17:00 Representation Learning via Adversarially-Contrastive Optimal Transport
Anoop Cherian, Shuchin Aeron
Workshop
Fri 0:30 Invited Talk 2: Bolei Zhou - Interpreting and Leveraging the Latent Semantics in Deep Generative Models
Wojciech Samek
Workshop
Fri 1:30 Adversarial representation learning for private speech generation
David Ericsson
Workshop
Sat 7:30 Invited talk 5: Adversarial Learning of Prescribed Generative Models
Adji Bousso Dieng