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Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset
  For Controlled Experiments

Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments

6 May 2021
M. Schuessler
Philipp Weiß
Leon Sixt
ArXivPDFHTML

Papers citing "Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments"

2 / 2 papers shown
Title
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
L. Arras
Ahmed Osman
Wojciech Samek
XAI
AAML
21
149
0
16 Mar 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
227
3,681
0
28 Feb 2017
1