Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration

1 code implementation • ICLR 2021 • Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim

We propose a novel information bottleneck (IB) method named Drop-Bottleneck, which discretely drops features that are irrelevant to the target variable.

Adversarial Robustness Dimensionality Reduction