149 citations · 462 across the 20 of their papers we have counts for
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cs.LG2021★ 6 cited
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing
Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang +1
As algorithmic decision-making systems are becoming more pervasive, it is crucial to ensure such systems do not become mechanisms of unfair discrimination on the basis of gender, r…
cs.LG2018★ 149 cited
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye, Xin Lu, Zhe Lin +1
Model pruning has become a useful technique that improves the computational efficiency of deep learning, making it possible to deploy solutions in resource-limited scenarios. A wid…
cs.LG2013★ 1 cited
Parallel D2-Clustering: Large-Scale Clustering of Discrete Distributions
Yu Zhang, James Z. Wang, Jia Li
The discrete distribution clustering algorithm, namely D2-clustering, has demonstrated its usefulness in image classification and annotation where each object is represented by a b…