activity
20162026
most cited"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach

271 citations · 527 across the 7 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 74 cited

Explaining and Interpreting LSTMs

Leila Arras, Jose A. Arjona-Medina, Michael Widrich +5

While neural networks have acted as a strong unifying force in the design of modern AI systems, the neural network architectures themselves remain highly heterogeneous due to the v…

cs.LG2019

Evaluating Recurrent Neural Network Explanations

Leila Arras, Ahmed Osman, Klaus-Robert Müller +1

Recently, several methods have been proposed to explain the predictions of recurrent neural networks (RNNs), in particular of LSTMs. The goal of these methods is to understand the…