no code implementations • 3 Nov 2023 • Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu
We introduce LOTUS, a continual imitation learning algorithm that empowers a physical robot to continuously and efficiently learn to solve new manipulation tasks throughout its lifespan.
no code implementations • NeurIPS 2021 • Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Unsupervised domain adaptation which aims to adapt models trained on a labeled source domain to a completely unlabeled target domain has attracted much attention in recent years.
Ranked #2 on Unsupervised Domain Adaptation on UCF-HMDB