activity
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 2021Show all

2 papers · 1 filter

cs.LG2021★ 3 cited

A Novel Sequential Coreset Method for Gradient Descent Algorithms

Jiawei Huang, Ruomin Huang, Wenjie Liu +2

A wide range of optimization problems arising in machine learning can be solved by gradient descent algorithms, and a central question in this area is how to efficiently compress a…

cs.LG2021

Is Simple Uniform Sampling Effective for Center-Based Clustering with Outliers: When and Why?

Jiawei Huang, Wenjie Liu, Hu Ding

Real-world datasets often contain outliers, and the presence of outliers can make the clustering problems to be much more challenging. In this paper, we propose a simple uniform sa…