2026
Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
ICLR 2026poster
We introduce a straightforward yet effective method to empirically measure and regularize memorization in deep neural networks for classification tasks. Our approach augments each training sample with auxiliary random labels, which are then predicted by a random label prediction head (RLP-head). R…