no code implementations • 21 Feb 2023 • Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
To this end, we propose MAC-PO, which formulates optimal prioritized experience replay for multi-agent problems as a regret minimization over the sampling weights of transitions.
1 code implementation • 6 Feb 2023 • Yongsheng Mei, Guru Venkataramani, Tian Lan
Our experimental results on the Multi-modal Brain Tumor Segmentation Challenge (BraTS) datasets outperform those of state-of-the-art segmentation baselines, with validation Dice similarity coefficients of 0. 920, 0. 897, 0. 837 for the whole tumor, tumor core, and enhancing tumor on BraTS-2020.
1 code implementation • 27 Jan 2022 • Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
In this paper, we present a unifying framework for heterogeneous FL algorithms with {\em arbitrary} adaptive online model pruning and provide a general convergence analysis.
no code implementations • 23 Nov 2021 • Hanhan Zhou, Tian Lan, Guru Venkataramani
The virtual try-on system has gained great attention due to its potential to give customers a realistic, personalized product presentation in virtualized settings.
no code implementations • 1 Nov 2019 • Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan
Detecting code clones is crucial in various software engineering tasks.