Search Results for author: Thomas Schnake

Found 3 papers, 2 papers with code

XAI for Transformers: Better Explanations through Conservative Propagation

1 code implementation15 Feb 2022 Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf

Transformers have become an important workhorse of machine learning, with numerous applications.

Higher-Order Explanations of Graph Neural Networks via Relevant Walks

no code implementations5 Jun 2020 Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon

In this paper, we show that GNNs can in fact be naturally explained using higher-order expansions, i. e. by identifying groups of edges that jointly contribute to the prediction.

Image Classification Sentiment Analysis

Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text

1 code implementation ACL 2019 Lukas Ruff, Yury Zemlyanskiy, V, Robert ermeulen, Thomas Schnake, Marius Kloft

There exist few text-specific methods for unsupervised anomaly detection, and for those that do exist, none utilize pre-trained models for distributed vector representations of words.

Contextual Anomaly Detection General Classification +1

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