Zhenyu Zhang

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training

2022 · arXiv (Cornell University)

Recent studies demonstrate that deep networks, even robustified by the state-of-the-art adversarial training (AT), still suffer from large robust generalization gaps, in addition to the much more expensive training costs than standard training. In this …

Optimizing Continuous Integration by Dynamic Test Proportion Selection

2023

Continuous integration is widely used in modern software engineering. However, it is an expensive practice. The proposed approaches focus on either intra- or inter-build cost reduction. Test case prioritization and selection (TCPS) techniques, typical intra-build …