2 papers
cs.CV2026
Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
Sathwik Karnik, Juyeop Kim, Sanmi Koyejo +2
Text-to-image diffusion models often memorize training data, revealing a fundamental failure to generalize beyond the training set. Current mitigation strategies typically sacrific…
cs.CV2025
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Jonghyun Park, Juyeop Kim, Jong-Seok Lee
Recent studies have shown that regularization techniques using soft labels, e.g., label smoothing, Mixup, and CutMix, not only enhance image classification accuracy but also mitiga…