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cs.LG2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk
The large capacity of neural networks enables them to learn complex functions. To avoid overfitting, networks however require a lot of training data that can be expensive and time-…
cs.LG2018
Detecting Memorization in ReLU Networks
Edo Collins, Siavash Arjomand Bigdeli, Sabine Süsstrunk
We propose a new notion of `non-linearity' of a network layer with respect to an input batch that is based on its proximity to a linear system, which is reflected in the non-negati…