2 papers
cs.LG2026
Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
Marlon Becker, Jonas Konrad, Luis Garcia Rodriguez +1
We introduce a straightforward yet effective method to empirically study memorization in deep neural networks for classification tasks. Our approach augments each training sample w…
cs.LG2024
Learned Random Label Predictions as a Neural Network Complexity Metric
Marlon Becker, Benjamin Risse
We empirically investigate the impact of learning randomly generated labels in parallel to class labels in supervised learning on memorization, model complexity, and generalization…