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