149 citations · 150 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Jiaqi Li, Haoran Li, Yaran Chen +5
Currently, an increasing number of model pruning methods are proposed to resolve the contradictions between the computer powers required by the deep learning models and the resourc…
stat.ML2020
BNAS:An Efficient Neural Architecture Search Approach Using Broad Scalable Architecture
Zixiang Ding, Yaran Chen, Nannan Li +3
In this paper, we propose Broad Neural Architecture Search (BNAS) where we elaborately design broad scalable architecture dubbed Broad Convolutional Neural Network (BCNN) to solve…
cs.MA2019★ 149 cited
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao, Zhentao Tang, Yuanheng Zhu +2
Deep reinforcement learning (DRL) has made great achievements since proposed. Generally, DRL agents receive high-dimensional inputs at each step, and make actions according to deep…