5 citations · 9 across the 9 of their papers we have counts for
3 papers · 1 filter
Shortcut Detection with Variational Autoencoders
Nicolas M. Müller, Simon Roschmann, Shahbaz Khan +2
For real-world applications of machine learning (ML), it is essential that models make predictions based on well-generalizing features rather than spurious correlations in the data…
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient
Jan-Philipp Schulze, Philip Sperl, Ana Răduţoiu +2
Neural networks follow a gradient-based learning scheme, adapting their mapping parameters by back-propagating the output loss. Samples unlike the ones seen during training cause a…
Adversarial Vulnerability of Active Transfer Learning
Nicolas M. Müller, Konstantin Böttinger
Two widely used techniques for training supervised machine learning models on small datasets are Active Learning and Transfer Learning. The former helps to optimally use a limited…