most citedNEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks

3 citations · 5 across the 4 of their papers we have counts for

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cs.CV2023

Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization

Jungwuk Park, Dong-Jun Han, Soyeong Kim +1

In domain generalization (DG), the target domain is unknown when the model is being trained, and the trained model should successfully work on an arbitrary (and possibly unseen) ta…