2 papers
cs.LG2026
When Muon Optimizer Meets Adversarial Training: A Theoretical and Empirical Study
Jun Yan, Weiquan Huang, Jiankai Zuo +4
Adversarial training (AT) remains one of the most reliable empirical defenses against adversarial attacks. Its robustness critically depends on how the underlying min-max objective…
cs.CV2026
ShellfishNet: A Domain-Specific Benchmark for Visual Recognition of Marine Molluscs
Ziheng Zhou, Yang Wang, Nan Wang +2
The decline of global shellfish biodiversity poses a severe threat to coastal ecosystems. Although artificial intelligence (AI) technologies show potential for automated ecological…