Poster

Tue 9:00

Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Tim Pearce · Jong-Hyeon Jeong · yichen jia · Jun Zhu

Poster

Tue 9:00

Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
Alexander Meinke · Julian Bitterwolf · Matthias Hein

Poster

Tue 9:00

Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li

Poster

Thu 14:00

Semantic uncertainty intervals for disentangled latent spaces
Swami Sankaranarayanan · Anastasios Angelopoulos · Stephen Bates · Yaniv Romano · Phillip Isola

Poster

Wed 9:00

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Kien Do · Thai Hung Le · Dung Nguyen · Dang Nguyen · HARIPRIYA HARIKUMAR · Truyen Tran · Santu Rana · Svetha Venkatesh

Workshop

Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance
Aengus Lynch · Jean Kaddour · Ricardo Silva

Workshop

Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance
Aengus Lynch · Jean Kaddour · Ricardo Silva

Poster

Thu 9:00

Invariance Learning based on Label Hierarchy
Shoji Toyota · Kenji Fukumizu