16 citations · 39 across the 8 of their papers we have counts for
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eess.IV2021
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution
Han Huang, Li Shen, Chaoyang He +2
Single Image Super-Resolution (SISR) tasks have achieved significant performance with deep neural networks. However, the large number of parameters in CNN-based met-hods for SISR t…
cs.LG2021★ 15 cited
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
Congliang Chen, Li Shen, Fangyu Zou +1
Adam is one of the most influential adaptive stochastic algorithms for training deep neural networks, which has been pointed out to be divergent even in the simple convex setting v…