Publications

Research · 17 Mar 2026

EchoAlign: Bridging Generative and Discriminative Learning under Noisy Labels

EchoAlign learns from noisy labels by editing images with controllable generators and selecting clean originals via feature similarity, greatly improving robustness to instance-dependent noise.

Authors

Yuxiang Zheng, Zhongyi Han, Yilong Yin

Venue

Frontiers of Computer Science

Robust MLNoisy LabelsGenerative Models