Explainable AI
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PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
Giang Nguyen, Valerie Chen, Mohammad Reza Taesiri, Anh Totti Nguyen
Links: pdf | code | project page
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PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck
Thang M. Pham*, Peijie Chen*, Tin Nguyen*, Seunghyun Yoon, Trung Bui, Anh Totti Nguyen
Links: pdf | code | project page
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Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers
Hai Phan, Cindy X. Le, Vu Le, Yihui Le, Anh Totti Nguyen
Links: pdf | code | project page
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gScoreCAM: What objects is CLIP looking at?
Peijie Chen, Qi Li, Saad Biaz, Trung Bui, Anh Nguyen
Links: pdf | code | project page
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Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Giang Nguyen*, Mohammad Reza Taesiri*, Anh Nguyen
Links: pdf | code | project page
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How explainable are adversarially-robust CNNs?
Mehdi Nourelahi, Lars Kotthoff, Peijie Chen, Anh Nguyen
Links: pdf | code | project page
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DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification
Hai Phan, Anh Nguyen
Links: pdf | code | project page
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Double Trouble: How to not explain a text classifier’s decisions using counterfactuals synthesized by masked language models
Thang M. Pham, Trung Bui, Long Mai, Anh Nguyen
Links: pdf | code | project page
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The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Giang Nguyen, Daeyoung Kim, Anh Nguyen
Links: pdf | code | project page
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SAM: The Sensitivity of Attribution Methods to Hyperparameters
Naman Bansal*, Chirag Agarwal*, Anh Nguyen*
Links: pdf | code | project page
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Explaining image classifiers by removing input features using generative models
Chirag Agarwal, Anh Nguyen
Links: pdf | code | project page