19 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Gradient Correction beyond Gradient Descent
Zefan Li, Bingbing Ni, Teng Li +2
The great success neural networks have achieved is inseparable from the application of gradient-descent (GD) algorithms. Based on GD, many variant algorithms have emerged to improv…
cs.CV2021★ 1 cited
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Zefan Li, Chenxi Liu, Alan Yuille +3
Unsupervised learning methods have recently shown their competitiveness against supervised training. Typically, these methods use a single objective to train the entire network. Bu…
cs.CV2017★ 19 cited
Performance Guaranteed Network Acceleration via High-Order Residual Quantization
Zefan Li, Bingbing Ni, Wenjun Zhang +2
Input binarization has shown to be an effective way for network acceleration. However, previous binarization scheme could be regarded as simple pixel-wise thresholding operations (…