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20172026
most citedTraining Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

26 citations · 39 across the 21 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Coresets for Wasserstein Distributionally Robust Optimization Problems

Ruomin Huang, Jiawei Huang, Wenjie Liu +1

Wasserstein distributionally robust optimization (\textsf{WDRO}) is a popular model to enhance the robustness of machine learning with ambiguous data. However, the complexity of \t…

cs.CV2022

Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification

Zhixin Yan, Jiawei Huang, Kehua Xiang

To improve the classification performance and generalization ability of the hyperspectral image classification algorithm, this paper uses Multi-Scale Total Variation (MSTV) to extr…