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20212026
most citedLearning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

49 citations · 175 across the 19 of their papers we have counts for

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cs.CV2026

Generated Images Are Easier to Forget: A Machine Unlearning Perspective for Synthetic Image Detection

Jun Nie, Yonggang Zhang, Tongliang Liu +3

Robust detection of generated images is critical to counter the misuse of generative models. Existing methods primarily depend on learning from human-annotated training datasets, l…

cs.LG2026

FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients

Tian Wen, Zhiqin Yang, Yonggang Zhang +4

Federated learning (FL) suffers from performance degradation due to the inevitable presence of noisy annotations in distributed scenarios. Existing approaches have advanced in dist…