13 citations · 67 across the 17 of their papers we have counts for
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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.LG2020★ 2 cited
Quantized Adam with Error Feedback
Congliang Chen, Li Shen, Haozhi Huang +1
In this paper, we present a distributed variant of adaptive stochastic gradient method for training deep neural networks in the parameter-server model. To reduce the communication…
cs.LG2019★ 1 cited
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Yingru Liu, Xuewen Yang, Dongliang Xie +4
Multi-task learning (MTL) is a common paradigm that seeks to improve the generalization performance of task learning by training related tasks simultaneously. However, it is still…