Search Results for author: Oliver Eberle

Found 4 papers, 3 papers with code

Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?

1 code implementation ACL 2022 Stephanie Brandl, Oliver Eberle, Jonas Pilot, Anders Søgaard

We investigate whether self-attention in large-scale pre-trained language models is as predictive of human eye fixation patterns during task-reading as classical cognitive models of human attention.

Relation Extraction Sentiment Analysis

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

Building and Interpreting Deep Similarity Models

1 code implementation11 Mar 2020 Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon

Many learning algorithms such as kernel machines, nearest neighbors, clustering, or anomaly detection, are based on the concept of 'distance' or 'similarity'.

Anomaly Detection

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