8 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
Jingang Qu, Thibault Faney, Ze Wang +3
Due to domain shifts, machine learning systems typically struggle to generalize well to new domains that differ from those of training data, which is what domain generalization (DG…
cs.CV2022★ 8 cited
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen, Zhenyu Zhang, Pengjun Wang +4
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 t…