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cs.LG2025
Dual-Label Learning With Irregularly Present Labels
Mingqian Li, Qiao Han, Ruifeng Li +2
In multi-task learning, labels are often missing irregularly across samples, which can be fully labeled, partially labeled or unlabeled. The irregular label presence often appears…
cs.LG2024
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration
Hanyi Hu, Qiao Han, Kui Chen +1
To mitigate the susceptibility of neural networks to adversarial attacks, adversarial training has emerged as a prevalent and effective defense strategy. Intrinsically, this counte…
cs.LG2024
Vertical Federated Learning Hybrid Local Pre-training
Wenguo Li, Xinling Guo, Xu Jiao +3
Vertical Federated Learning (VFL), which has a broad range of real-world applications, has received much attention in both academia and industry. Enterprises aspire to exploit more…