Suivre
Sachit Kuhar
Sachit Kuhar
AWS AI Labs
Adresse e-mail validée de gatech.edu
Titre
Citée par
Citée par
Année
Offline visual representation learning for embodied navigation
K Yadav, R Ramrakhya, A Majumdar, VP Berges, S Kuhar, D Batra, ...
International Conference on Learning Representations (ICLR), Reincarnating …, 2022
882022
mrna: Enabling efficient mapping space exploration for a reconfiguration neural accelerator
Z Zhao, H Kwon, S Kuhar, W Sheng, Z Mao, T Krishna
2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019
382019
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
S Kuhar, S Cheng, S Chopra, M Bronars, D Xu
7th Annual Conference on Robot Learning, 1437-1449, 2023
82023
SumMerge: an efficient algorithm and implementation for weight repetition-aware DNN inference
RB Prabhakar*, S Kuhar*, R Agrawal, CJ Hughes, CW Fletcher
Proceedings of the ACM International Conference on Supercomputing, 279-290, 2021
72021
Deep learning based semi-blind tracking for aging wireless communication channels
A Dave*, S Kuhar*, R Chopra
Wireless Personal Communications 119 (3), 2695-2706, 2021
32021
LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation
S Kuhar, WU Ahmad, Z Wang, N Jain, H Qian, B Ray, MK Ramanathan, ...
NAACL 2025 (arXiv:2412.04478), 2024
2024
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
S Kuhar, Y Jain, A Tumanov
Transactions on Machine Learning Research (TMLR), 2024
2024
Signed Binary Weight Networks
S Kuhar, A Tumanov, J Hoffman
Machine Learning and Systems (MLSys), On-Device Intelligence Workshop, 2022
2022
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–8