94 citations · 141 across the 11 of their papers we have counts for
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cs.LG2018★ 94 cited
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo, Chao Zhang, Changshui Zhang +1
Deep neural networks (DNNs) are computationally/memory-intensive and vulnerable to adversarial attacks, making them prohibitive in some real-world applications. By converting dense…
cs.LG2014★ 1 cited
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning
Chao Zhang, Dacheng Tao, Tao Hu +1
In this paper, we study the generalization performance of regularized multi-task learning (RMTL) in a vector-valued framework, where MTL is considered as a learning process for vec…
cs.LG2014★ 3 cited
Generalization Bounds for Representative Domain Adaptation
Chao Zhang, Lei Zhang, Wei Fan +1
In this paper, we propose a novel framework to analyze the theoretical properties of the learning process for a representative type of domain adaptation, which combines data from m…