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A Survey Of Methods For Explaining Black Box Models

6 February 2018

Papers citing "A Survey Of Methods For Explaining Black Box Models"

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Title
A Survey on Aspect-Based Sentiment Classification Gianni Brauwers Flavius Frasincar LLMAG 99 120 0 27 Mar 2022
Effective Explanations for Entity Resolution Models Tommaso Teofili D. Firmani Nick Koudas Vincenzo Martello P. Merialdo D. Srivastava AAML 68 16 0 24 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 92 27 0 22 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang Maurice Pagnucco Yang Song 63 31 0 17 Mar 2022
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers Stefan Haller Adina Aldea C. Seifert N. Strisciuglio 67 39 0 11 Mar 2022
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box Catarina Moreira Yu-Liang Chou Chih-Jou Hsieh Chun Ouyang Joaquim A. Jorge João Pereira CML 83 9 0 04 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks Mohammad Mahdi Dehshibi Mona Ashtari-Majlan Gereziher W. Adhane David Masip AAML FAtt 50 3 0 02 Mar 2022
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization Vilde B. Gjærum Inga Strümke O. Alsos A. Lekkas FAtt 73 16 0 01 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 65 0 0 25 Feb 2022
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain M. Moradi Matthias Samwald 132 8 0 25 Feb 2022
Probing BERT's priors with serial reproduction chains Takateru Yamakoshi Thomas Griffiths Robert D. Hawkins 84 13 0 24 Feb 2022
Counterfactual Explanations for Predictive Business Process Monitoring Tsung-Hao Huang Andreas Metzger Klaus Pohl 79 20 0 24 Feb 2022
Human-in-the-loop Machine Learning: A Macro-Micro Perspective Jiangtao Wang Bin Guo Liming Chen 63 8 0 21 Feb 2022
GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs Alan Perotti P. Bajardi Francesco Bonchi Andre' Panisson FAtt 36 8 0 17 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 76 95 0 16 Feb 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal Ghada Elkhawaga Mervat Abuelkheir M. Reichert 45 1 0 16 Feb 2022
On Deciding Feature Membership in Explanations of SDD & Related Classifiers Xuanxiang Huang Sasha Rubin FAtt LRM 58 3 0 15 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality Yan Lyu Hangxin Lu Min Kyung Lee G. Schmitt Brian Y. Lim 62 10 0 15 Feb 2022
XAI for Transformers: Better Explanations through Conservative Propagation Ameen Ali Thomas Schnake Oliver Eberle G. Montavon Klaus-Robert Muller Lior Wolf FAtt 93 96 0 15 Feb 2022
Explaining Reject Options of Learning Vector Quantization Classifiers André Artelt Johannes Brinkrolf Roel W. Visser Barbara Hammer FAtt 47 8 0 15 Feb 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design Jiao Sun Q. V. Liao Michael J. Muller Mayank Agarwal Stephanie Houde Kartik Talamadupula Justin D. Weisz 83 165 0 10 Feb 2022
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data Adrianna Janik Kris Sankaran 23 1 0 09 Feb 2022
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE Young-geun Kim Yang Liu Xue Wei OOD CML 100 1 0 09 Feb 2022
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs Edmund Dervakos Orfeas Menis Mastromichalakis A. Chortaras Giorgos Stamou FAtt 125 6 0 08 Feb 2022
Conversational Agents: Theory and Applications M. Wahde M. Virgolin LLMAG 68 26 0 07 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 89 38 0 06 Feb 2022
Improving Probabilistic Models in Text Classification via Active Learning M. Bosley Saki Kuzushima Ted Enamorado Y. Shiraito 29 2 0 05 Feb 2022
Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users Prerna Juneja Tanushree Mitra CML 21 0 0 05 Feb 2022
Rethinking Explainability as a Dialogue: A Practitioner's Perspective Himabindu Lakkaraju Dylan Slack Yuxin Chen Chenhao Tan Sameer Singh LRM 110 64 0 03 Feb 2022
An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge bases Laura Giordano Daniele Theseider Dupré 65 21 0 02 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 65 1 0 30 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 135 17 0 27 Jan 2022
Explainability in Music Recommender Systems Darius Afchar Alessandro B. Melchiorre Markus Schedl Romain Hennequin Elena V. Epure Manuel Moussallam 103 50 0 25 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 92 36 0 22 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 178 423 0 20 Jan 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 97 9 0 17 Jan 2022
SLISEMAP: Supervised dimensionality reduction through local explanations Anton Björklund J. Mäkelä Kai Puolamäki FAtt 80 19 0 12 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 78 21 0 29 Dec 2021
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 89 66 0 28 Dec 2021
Pedagogical Rule Extraction to Learn Interpretable Models - an Empirical Study Vadim Arzamasov Benjamin Jochum Klemens Bohm ELM 18 0 0 25 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 75 13 0 23 Dec 2021
More Than Words: Towards Better Quality Interpretations of Text Classifiers Muhammad Bilal Zafar Philipp Schmidt Michele Donini Cédric Archambeau F. Biessmann Sanjiv Ranjan Das K. Kenthapadi FAtt 115 5 0 23 Dec 2021
Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization Mingming Fan Xianyou Yang Tsz Tung Yu Vera Q. Liao J. Zhao 28 1 0 23 Dec 2021
Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding Benedikt Wagner Artur Garcez NAI 55 6 0 22 Dec 2021
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 81 41 0 17 Dec 2021
Global explainability in aligned image modalities Justin Engelmann Amos Storkey Miguel O. Bernabeu FAtt 42 4 0 17 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 126 27 0 16 Dec 2021
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP) Khushnaseeb Roshan Aasim Zafar AAML 65 54 0 14 Dec 2021
Towards Explainable Artificial Intelligence in Banking and Financial Services Ambreen Hanif 54 11 0 14 Dec 2021
Fairness for Robust Learning to Rank Omid Memarrast Ashkan Rezaei Rizal Fathony Brian Ziebart FaML 54 11 0 12 Dec 2021