7 citations · 16 across the 4 of their papers we have counts for
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cs.LG2023★ 2 cited
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Xiaoge Deng, Li Shen, Shengwei Li +3
Stochastic gradient descent (SGD) performed in an asynchronous manner plays a crucial role in training large-scale machine learning models. However, the generalization performance…
cs.LG2021★ 7 cited
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion
Zhemin Li, Tao Sun, Hongxia Wang +1
The explicit low-rank regularization, e.g., nuclear norm regularization, has been widely used in imaging sciences. However, it has been found that implicit regularization outperfor…