no code implementations • 18 Jun 2020 • Jacob Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller
The 'Clever Hans' effect occurs when the learned model produces correct predictions based on the 'wrong' features.
Anomaly Detection Explainable Artificial Intelligence (XAI) +1
no code implementations • 18 Jun 2019 • Jacob Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
Cluster predictions of the obtained networks can then be quickly and accurately attributed to the input features.
no code implementations • 29 Jun 2018 • Jacob Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz
Detecting and explaining anomalies is a challenging effort.
no code implementations • 16 May 2018 • Jacob Kauffmann, Klaus-Robert Müller, Grégoire Montavon
The proposed One-Class DTD is applicable to a number of common distance-based SVM kernels and is able to reliably explain a wide set of data anomalies.