24 citations · 26 across the 7 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar, Yash Jain, Alexey Tumanov
Efficient inference of Deep Neural Networks (DNNs) on resource-constrained edge devices is essential. Quantization and sparsity are key techniques that translate to repetition and…
cs.RO2023★ 2 cited
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Sachit Kuhar, Shuo Cheng, Shivang Chopra +2
Practical Imitation Learning (IL) systems rely on large human demonstration datasets for successful policy learning. However, challenges lie in maintaining the quality of collected…