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06/10/2023
Two-Stage Holistic and Contrastive Explanation of Image Classification
The need to explain the output of a deep neural network classifier is no...
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05/20/2023
Model Debiasing via Gradient-based Explanation on Representation
Machine learning systems produce biased results towards certain demograp...
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05/13/2023
Contrastive Domain Generalization via Logit Attribution Matching
Domain Generalization (DG) is an important open problem in machine learn...
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04/10/2023
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI
Explainable AI (XAI) methods provide explanations of AI models, but our ...
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12/21/2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
A computational graph in a deep neural network (DNN) denotes a specific ...
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11/06/2022
ViT-CX: Causal Explanation of Vision Transformers
Despite the popularity of Vision Transformers (ViTs) and eXplainable AI ...
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03/16/2022
Example Perplexity
Some examples are easier for humans to classify than others. The same sh...
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08/08/2021
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation
Explanation of AI, as well as fairness of algorithms' decisions and the ...
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07/27/2021
Resisting Out-of-Distribution Data Problem in Perturbation of XAI
With the rapid development of eXplainable Artificial Intelligence (XAI),...
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07/20/2021
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI)
More recently, Explainable Artificial Intelligence (XAI) research has sh...
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12/31/2020
