4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Curriculum-based Asymmetric Multi-task Reinforcement Learning
Hanchi Huang, Deheng Ye, Li Shen +1
We introduce CAMRL, the first curriculum-based asymmetric multi-task learning (AMTL) algorithm for dealing with multiple reinforcement learning (RL) tasks altogether. To mitigate t…
cs.LG2020★ 4 cited
CPOT: Channel Pruning via Optimal Transport
Yucong Shen, Li Shen, Hao-Zhi Huang +2
Recent advances in deep neural networks (DNNs) lead to tremendously growing network parameters, making the deployments of DNNs on platforms with limited resources extremely difficu…
cs.DC2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan +3
In this paper, we study distributed algorithms for large-scale AUC maximization with a deep neural network as a predictive model. Although distributed learning techniques have been…