Leila Arras

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 12

Top Topics

Linear Classifiers

Top Venues

BlackboxNLP@ACL

Publications

Leila Arras, Ahmed Osman, Wojciech Samek
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations. Inf. Fusion 81 (2022)
Ahmed Osman, Leila Arras, Wojciech Samek
Towards Ground Truth Evaluation of Visual Explanations. CoRR (2020)
Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
Evaluating Recurrent Neural Network Explanations. CoRR (2019)
Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
Explaining and Interpreting LSTMs. CoRR (2019)
Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
Evaluating Recurrent Neural Network Explanations. BlackboxNLP@ACL (2019)
Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Explaining Recurrent Neural Network Predictions in Sentiment Analysis. CoRR (2017)
Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Discovering topics in text datasets by visualizing relevant words. CoRR (2017)
Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Explaining Recurrent Neural Network Predictions in Sentiment Analysis. WASSA@EMNLP (2017)
Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Exploring text datasets by visualizing relevant words. CoRR (2017)
Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach. CoRR (2016)
Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Explaining Predictions of Non-Linear Classifiers in NLP. Rep4NLP@ACL (2016)
Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Explaining Predictions of Non-Linear Classifiers in NLP. CoRR (2016)