|
Poster
|
Thu 9:00
|
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
Francisco Utrera · Evan Kravitz · N. Benjamin Erichson · Rajiv Khanna · Michael W Mahoney
|
|
|
Workshop
|
|
Low Curvature Activations Reduce Overfitting in Adversarial Training
Vasu Singla
|
|
|
Workshop
|
|
Mitigating Adversarial Training Instability with Batch Normalization
Arvind Sridhar
|
|
|
Workshop
|
|
Reliably fast adversarial training via latent adversarial perturbation
Sang Wan Lee
|
|
|
Poster
|
Wed 1:00
|
Bag of Tricks for Adversarial Training
Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu
|
|
|
Poster
|
Tue 1:00
|
Generalized Energy Based Models
Michael Arbel · Liang Zhou · Arthur Gretton
|
|
|
Poster
|
Mon 9:00
|
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
|
|
|
Workshop
|
|
What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors
Jonas Geiping · Liam H Fowl · Micah Goldblum · Michael Moeller · Tom Goldstein
|
|
|
Poster
|
Wed 17:00
|
Robust Overfitting may be mitigated by properly learned smoothening
Tianlong Chen · Zhenyu Zhang · Sijia Liu · Shiyu Chang · Zhangyang Wang
|
|
|
Poster
|
Wed 1:00
|
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Saehyung Lee · Changhwa Park · Hyungyu Lee · Jihun Yi · Jonghyun Lee · Sungroh Yoon
|
|
|
Poster
|
Tue 17:00
|
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao · Yu-Xiong Wang · Martial Hebert
|
|
|
Poster
|
Mon 9:00
|
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Boxin Wang · Shuohang Wang · Yu Cheng · Zhe Gan · Ruoxi Jia · Bo Li · Jingjing Liu
|
|
