Representational dissimilarity metric spaces for stochastic neural networks

1 code implementation • 21 Nov 2022 • Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams

Quantifying similarity between neural representations -- e. g. hidden layer activation vectors -- is a perennial problem in deep learning and neuroscience research.

Training Stronger Baselines for Learning to Optimize

1 code implementation • NeurIPS 2020 • Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

Learning to optimize (L2O) has gained increasing attention since classical optimizers require laborious problem-specific design and hyperparameter tuning.

Imitation Learning Rolling Shutter Correction

Can 3D Adversarial Logos Cloak Humans?

1 code implementation • 25 Jun 2020 • Yi Wang, Jingyang Zhou, Tianlong Chen, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang

Contrary to the traditional adversarial patch, this new form of attack is mapped into the 3D object world and back-propagates to the 2D image domain through differentiable rendering.

Object