2.8k citations · 13.3k across the 90 of their papers we have counts for
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The Convergence of Machine Learning and Communications
Wojciech Samek, Slawomir Stanczak, Thomas Wiegand
The areas of machine learning and communication technology are converging. Today's communications systems generate a huge amount of traffic data, which can help to significantly en…
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek, Thomas Wiegand, Klaus-Robert Müller
With the availability of large databases and recent improvements in deep learning methodology, the performance of AI systems is reaching or even exceeding the human level on an inc…
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller +1
Recently, deep neural networks have demonstrated excellent performances in recognizing the age and gender on human face images. However, these models were applied in a black-box ma…
Discovering topics in text datasets by visualizing relevant words
Franziska Horn, Leila Arras, Grégoire Montavon +2
When dealing with large collections of documents, it is imperative to quickly get an overview of the texts' contents. In this paper we show how this can be achieved by using a clus…
Exploring text datasets by visualizing relevant words
Franziska Horn, Leila Arras, Grégoire Montavon +2
When working with a new dataset, it is important to first explore and familiarize oneself with it, before applying any advanced machine learning algorithms. However, to the best of…
Methods for Interpreting and Understanding Deep Neural Networks
Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
This paper provides an entry point to the problem of interpreting a deep neural network model and explaining its predictions. It is based on a tutorial given at ICASSP 2017. It int…