56 citations · 283 across the 30 of their papers we have counts for
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cs.CV2022★ 7 cited
Adaptive and Implicit Regularization 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…
cs.CV2020
An Integrated Approach to Produce Robust Models with High Efficiency
Zhijian Li, Bao Wang, Jack Xin
Deep Neural Networks (DNNs) needs to be both efficient and robust for practical uses. Quantization and structure simplification are promising ways to adapt DNNs to mobile devices,…
cs.CV2018
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning
Wei Zhu, Qiang Qiu, Bao Wang +3
Deep neural networks (DNNs) typically have enough capacity to fit random data by brute force even when conventional data-dependent regularizations focusing on the geometry of the f…