538 citations · 563 across the 21 of their papers we have counts for
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cs.LG2024
Effective and Robust Adversarial Training against Data and Label Corruptions
Peng-Fei Zhang, Zi Huang, Xin-Shun Xu +1
Corruptions due to data perturbations and label noise are prevalent in the datasets from unreliable sources, which poses significant threats to model training. Despite existing eff…
cs.LG2022
Prototype-Based Layered Federated Cross-Modal Hashing
Jiale Liu, Yu-Wei Zhan, Xin Luo +3
Recently, deep cross-modal hashing has gained increasing attention. However, in many practical cases, data are distributed and cannot be collected due to privacy concerns, which gr…