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.LG2021
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks
Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen +1
Overfitting is one of the fundamental challenges when training convolutional neural networks and is usually identified by a diverging training and test loss. The underlying dynamic…