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08/23/2023
Layer-wise Feedback Propagation
In this paper, we present Layer-wise Feedback Propagation (LFP), a novel...
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11/22/2022
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
While the evaluation of explanations is an important step towards trustw...
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05/04/2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
The ability to continuously process and retain new information like we d...
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03/15/2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Explainable Artificial Intelligence (XAI) is an emerging research field ...
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02/14/2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations
The evaluation of explanation methods is a research topic that has not y...
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02/14/2022
Measurably Stronger Explanation Reliability via Model Canonization
While rule-based attribution methods have proven useful for providing lo...
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02/07/2022
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging
State-of-the-art machine learning models are commonly (pre-)trained on l...
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04/22/2020