One After Another: Learning Incremental Skills for a Changing World

1 code implementation • ICLR 2022 • Nur Muhammad Shafiullah, Lerrel Pinto

In this work, we propose a new framework for skill discovery, where skills are learned one after another in an incremental fashion.

The Surprising Effectiveness of Representation Learning for Visual Imitation

1 code implementation • 2 Dec 2021 • Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto

One reason such complexities arise is because standard visual imitation frameworks try to solve two coupled problems at once: learning a succinct but good representation from the diverse visual data, while simultaneously learning to associate the demonstrated actions with such representations.

Imitation Learning Representation Learning +1

Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability

1 code implementation • ICLR 2019 • Kai Y. Xiao, Vincent Tjeng, Nur Muhammad Shafiullah, Aleksander Madry

We explore the concept of co-design in the context of neural network verification.

Adversarial Robustness