Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu
Conference on Robot Learning (CoRL), 2023
Publications
Signed-Binary Weight Networks
Sachit Kuhar, Alexey Tumanov, Judy Hoffman
Spotlight Presentation at Machine Learning and Systems (MLSys), On-Device Intelligence, 2023
Offline Visual Representation Learning for Embodied Navigation
Karmesh Yadav, Ram Ramrakhya, Arjun Majumdar, Vincent-Pierre Berges, Sachit Kuhar, Dhruv Batra, Aleksei Baevski, Oleksandr Makysmet
International Conference on Learning Representations (ICLR), Reincarnating Reinforcement Learning, 2023
SumMerge: an efficient algorithm and implementation for weight repetition-aware DNN inference
Rohan Baskar Prabhakar*, Sachit Kuhar*, Rohit Agrawal, Christopher J Hughes, Christopher W Fletcher
Oral Presentation at ACM International Conference on Supercomputing, 2021
mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator
Zhongyuan Zhao, Hyoukjun Kwon, Sachit Kuhar, Weiguang Sheng, Zhigang Mao, Tushar Krishna
Oral Presentation at IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2019
Deep Learning Based Semi-Blind Tracking for Aging Wireless Communication Channels
Achal Dave*, Sachit Kuhar*, Ribhu Chopra
Wireless Personal Communications, Springer Netherlands, 2019