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@inproceedings{bb127457,
        AUTHOR = "Konate, S. and Lebrat, L. and Cruz, R.S. and Smith, E. and Bradley, A. and Fookes, C. and Salvado, O.",
        TITLE = "A Comparison of Saliency Methods for Deep Learning Explainability",
        BOOKTITLE = DICTA21,
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        PAGES = "01-08",
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@inproceedings{bb127458,
        AUTHOR = "Khakzar, A. and Baselizadeh, S. and Khanduja, S. and Rupprecht, C. and Kim, S.T. and Navab, N.",
        TITLE = "Neural Response Interpretation through the Lens of Critical Pathways",
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@inproceedings{bb127459,
        AUTHOR = "Stammer, W. and Schramowski, P. and Kersting, K.",
        TITLE = "Right for the Right Concept: Revising Neuro-Symbolic Concepts by
Interacting with their Explanations",
        BOOKTITLE = CVPR21,
        YEAR = "2021",
        PAGES = "3618-3628",
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@inproceedings{bb127460,
        AUTHOR = "Lim, D. and Lee, H. and Kim, S.",
        TITLE = "Building Reliable Explanations of Unreliable Neural Networks: Locally
Smoothing Perspective of Model Interpretation",
        BOOKTITLE = CVPR21,
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@inproceedings{bb127461,
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        TITLE = "Transformer Interpretability Beyond Attention Visualization",
        BOOKTITLE = CVPR21,
        YEAR = "2021",
        PAGES = "782-791",
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@inproceedings{bb127462,
        AUTHOR = "Shen, Y.J. and Zhou, B.",
        TITLE = "Closed-Form Factorization of Latent Semantics in GANs",
        BOOKTITLE = CVPR21,
        YEAR = "2021",
        PAGES = "1532-1540",
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@inproceedings{bb127463,
        AUTHOR = "Singla, S. and Nushi, B. and Shah, S. and Kamar, E. and Horvitz, E.",
        TITLE = "Understanding Failures of Deep Networks via Robust Feature Extraction",
        BOOKTITLE = CVPR21,
        YEAR = "2021",
        PAGES = "12848-12857",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123637"}

@inproceedings{bb127464,
        AUTHOR = "Poppi, S. and Cornia, M. and Baraldi, L. and Cucchiara, R.",
        TITLE = "Revisiting The Evaluation of Class Activation Mapping for
Explainability: A Novel Metric and Experimental Analysis",
        BOOKTITLE = RCV21,
        YEAR = "2021",
        PAGES = "2299-2304",
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@inproceedings{bb127465,
        AUTHOR = "Rahnama, A. and Tseng, A.",
        TITLE = "An Adversarial Approach for Explaining the Predictions of Deep Neural
Networks",
        BOOKTITLE = TCV21,
        YEAR = "2021",
        PAGES = "3247-3256",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123639"}

@inproceedings{bb127466,
        AUTHOR = "Wang, B. and Li, L.Z. and Verma, M. and Nakashima, Y. and Kawasaki, R. and Nagahara, H.",
        TITLE = "MTUNet: Few-shot Image Classification with Visual Explanations",
        BOOKTITLE = RCV21,
        YEAR = "2021",
        PAGES = "2294-2298",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123640"}

@inproceedings{bb127467,
        AUTHOR = "Abello, A.A. and Hirata, R. and Wang, Z.Y.",
        TITLE = "Dissecting the High-Frequency Bias in Convolutional Neural Networks",
        BOOKTITLE = UG21,
        YEAR = "2021",
        PAGES = "863-871",
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@inproceedings{bb127468,
        AUTHOR = "Rosenzweig, J. and Sicking, J. and Houben, S. and Mock, M. and Akila, M.",
        TITLE = "Patch Shortcuts: Interpretable Proxy Models Efficiently Find
Black-Box Vulnerabilities",
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        YEAR = "2021",
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@inproceedings{bb127469,
        AUTHOR = "Chen, Q.X. and Li, P.F. and Xu, M. and Qi, X.J.",
        TITLE = "Sparse Activation Maps for Interpreting 3D Object Detection",
        BOOKTITLE = SAIAD21,
        YEAR = "2021",
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@inproceedings{bb127470,
        AUTHOR = "Jaworek Korjakowska, J. and Kostuch, A. and Skruch, P.",
        TITLE = "SafeSO: Interpretable and Explainable Deep Learning Approach for Seat
Occupancy Classification in Vehicle Interior",
        BOOKTITLE = SAIAD21,
        YEAR = "2021",
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@inproceedings{bb127471,
        AUTHOR = "Suzuki, M. and Kamcya, Y. and Kutsuna, T. and Mitsumoto, N.",
        TITLE = "Understanding the Reason for Misclassification by Generating
Counterfactual Images",
        BOOKTITLE = MVA21,
        YEAR = "2021",
        PAGES = "1-5",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123645"}

@inproceedings{bb127472,
        AUTHOR = "Li, Z.Q. and Wang, W.M. and Li, Z. and Huang, Y. and Sato, Y.",
        TITLE = "Towards Visually Explaining Video Understanding Networks with
Perturbation",
        BOOKTITLE = WACV21,
        YEAR = "2021",
        PAGES = "1119-1128",
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@inproceedings{bb127473,
        AUTHOR = "Oh, Y. and Jung, H. and Park, J. and Kim, M.S.",
        TITLE = "EVET: Enhancing Visual Explanations of Deep Neural Networks Using
Image Transformations",
        BOOKTITLE = WACV21,
        YEAR = "2021",
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@inproceedings{bb127474,
        AUTHOR = "Song, W. and Dai, S.Y. and Huang, D.M. and Song, J.L. and Antonio, L.",
        TITLE = "Median-Pooling Grad-Cam: An Efficient Inference Level Visual
Explanation for CNN Networks in Remote Sensing Image Classification",
        BOOKTITLE = MMMod21,
        YEAR = "2021",
        PAGES = "II:134-146",
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@inproceedings{bb127475,
        AUTHOR = "Samangouei, P. and Saeedi, A. and Nakagawa, L. and Silberman, N.",
        TITLE = "ExplainGAN: Model Explanation via Decision Boundary Crossing
Transformations",
        BOOKTITLE = ECCV18,
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@inproceedings{bb127476,
        AUTHOR = "Pope, P.E. and Kolouri, S. and Rostami, M. and Martin, C.E. and Hoffmann, H.",
        TITLE = "Explainability Methods for Graph Convolutional Neural Networks",
        BOOKTITLE = CVPR19,
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@inproceedings{bb127477,
        AUTHOR = "Huseljic, D. and Sick, B. and Herde, M. and Kottke, D.",
        TITLE = "Separation of Aleatoric and Epistemic Uncertainty in Deterministic
Deep Neural Networks",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
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@inproceedings{bb127478,
        AUTHOR = "Shi, S. and Du, Y.Z. and Fan, W.",
        TITLE = "Kernel-based LIME with feature dependency sampling",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "9143-9148",
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@inproceedings{bb127479,
        AUTHOR = "Charachon, M. and Hudelot, C. and Cournede, P.H. and Ruppli, C. and Ardon, R.",
        TITLE = "Combining Similarity and Adversarial Learning to Generate Visual
Explanation: Application to Medical Image Classification",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "7188-7195",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123653"}

@inproceedings{bb127480,
        AUTHOR = "Goh, G.S.W. and Lapuschkin, S. and Weber, L. and Samek, W. and Binder, A.",
        TITLE = "Understanding Integrated Gradients with SmoothTaylor for Deep Neural
Network Attribution",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "4949-4956",
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@inproceedings{bb127481,
        AUTHOR = "Yang, Q. and Zhu, X. and Fwu, J.K. and Ye, Y. and You, G. and Zhu, Y.",
        TITLE = "MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box
Model Explanations",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "1376-1383",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123655"}

@inproceedings{bb127482,
        AUTHOR = "Jung, J.H. and Kwon, Y.M.",
        TITLE = "Boundaries of Single-Class Regions in the Input Space of Piece-Wise
Linear Neural Networks",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "6027-6034",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123656"}

@inproceedings{bb127483,
        AUTHOR = "Zhang, M. and Zhu, X.N. and Ji, Y.",
        TITLE = "Input-aware Neural Knowledge Tracing Machine",
        BOOKTITLE = HCAU20,
        YEAR = "2020",
        PAGES = "345-360",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123657"}

@inproceedings{bb127484,
        AUTHOR = "Apicella, A. and Giugliano, S. and Isgro, F. and Prevete, R.",
        TITLE = "A General Approach to Compute the Relevance of Middle-level Input
Features",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "189-203",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123658"}

@inproceedings{bb127485,
        AUTHOR = "Veerappa, M. and Anneken, M. and Burkart, N.",
        TITLE = "Evaluation of Interpretable Association Rule Mining Methods on
Time-series in the Maritime Domain",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "204-218",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123659"}

@inproceedings{bb127486,
        AUTHOR = "Jouis, G. and Mouchere, H. and Picarougne, F. and Hardouin, A.",
        TITLE = "Anchors vs Attention: Comparing XAI on a Real-life Use Case",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "219-227",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123660"}

@inproceedings{bb127487,
        AUTHOR = "Henin, C. and Le Metayer, D.",
        TITLE = "A Multi-layered Approach for Tailored Black-box Explanations",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "5-19",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123661"}

@inproceedings{bb127488,
        AUTHOR = "Kenny, E.M. and Delaney, E.D. and Greene, D. and Keane, M.T.",
        TITLE = "Post-hoc Explanation Options for XAI in Deep Learning: The Insight
Centre for Data Analytics Perspective",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "20-34",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123662"}

@inproceedings{bb127489,
        AUTHOR = "Halnaut, A. and Giot, R. and Bourqui, R. and Auber, D.",
        TITLE = "Samples Classification Analysis Across DNN Layers with Fractal Curves",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "47-61",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123663"}

@inproceedings{bb127490,
        AUTHOR = "Jung, H. and Oh, Y. and Park, J. and Kim, M.S.",
        TITLE = "Jointly Optimize Positive and Negative Saliencies for Black Box
Classifiers",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "76-89",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123664"}

@inproceedings{bb127491,
        AUTHOR = "Zhu, P. and Zhu, R.Z. and Mishra, S. and Saligrama, V.",
        TITLE = "Low Dimensional Visual Attributes: An Interpretable Image Encoding",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "90-102",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123665"}

@inproceedings{bb127492,
        AUTHOR = "Marcos, D. and Fong, R. and Lobry, S. and Flamary, R. and Courty, N. and Tuia, D.",
        TITLE = "Contextual Semantic Interpretability",
        BOOKTITLE = ACCV20,
        YEAR = "2020",
        PAGES = "IV:351-368",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123666"}

@inproceedings{bb127493,
        AUTHOR = "Townsend, J. and Kasioumis, T. and Inakoshi, H.",
        TITLE = "ERIC: Extracting Relations Inferred from Convolutions",
        BOOKTITLE = ACCV20,
        YEAR = "2020",
        PAGES = "III:206-222",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123667"}

@inproceedings{bb127494,
        AUTHOR = "Galli, A. and Marrone, S. and Moscato, V. and Sansone, C.",
        TITLE = "Reliability of explainable Artificial Intelligence in Adversarial
Perturbation Scenarios",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "243-256",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123668"}

@inproceedings{bb127495,
        AUTHOR = "Agarwal, C. and Nguyen, A.",
        TITLE = "Explaining Image Classifiers by Removing Input Features Using
Generative Models",
        BOOKTITLE = ACCV20,
        YEAR = "2020",
        PAGES = "VI:101-118",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123669"}

@inproceedings{bb127496,
        AUTHOR = "Gorokhovatskyi, O. and Peredrii, O.",
        TITLE = "Recursive Division of Image for Explanation of Shallow CNN Models",
        BOOKTITLE = EDL-AI20,
        YEAR = "2020",
        PAGES = "274-286",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123670"}

@inproceedings{bb127497,
        AUTHOR = "Konforti, Y. and Shpigler, A. and Lerner, B. and Bar Hillel, A.",
        TITLE = "Inference Graphs for CNN Interpretation",
        BOOKTITLE = ECCV20,
        YEAR = "2020",
        PAGES = "XXV:69-84",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123671"}

@inproceedings{bb127498,
        AUTHOR = "Singh, M. and Kumari, N. and Mangla, P. and Sinha, A. and Balasubramanian, V.N. and Krishnamurthy, B.",
        TITLE = "Attributional Robustness Training Using Input-gradient Spatial
Alignment",
        BOOKTITLE = ECCV20,
        YEAR = "2020",
        PAGES = "XXVII:515-533",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123672"}

@inproceedings{bb127499,
        AUTHOR = "Huang, S.J. and Peng, W.Q. and Jia, Z.W. and Tu, Z.W.",
        TITLE = "One-pixel Signature: Characterizing CNN Models for Backdoor Detection",
        BOOKTITLE = ECCV20,
        YEAR = "2020",
        PAGES = "XXVII:326-341",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652exp1.html#TT123673"}

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