A Survey Of Methods For Explaining Black Box Models

6 February 2018

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

50 / 410 papers shown

Title
Conversational Agents: Theory and Applications M. Wahde M. Virgolin LLMAG 18 24 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 23 37 0 06 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 19 1 0 30 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 26 36 0 22 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 33 9 0 17 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 39 20 0 29 Dec 2021
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 25 62 0 28 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 17 13 0 23 Dec 2021
Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding Benedikt Wagner Artur Garcez NAI 16 5 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 40 38 0 17 Dec 2021
Global explainability in aligned image modalities Justin Engelmann Amos Storkey Miguel O. Bernabeu FAtt 30 4 0 17 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 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 19 50 0 14 Dec 2021
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng Jiacong Hu Sai Wu Xiaotian Yu Mingli Song Xiuming Zhang 40 13 0 09 Dec 2021
Explainable Deep Image Classifiers for Skin Lesion Diagnosis C. Metta Andrea Beretta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo F. Giannotti 18 5 0 22 Nov 2021
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 29 65 0 15 Nov 2021
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data Yanou Ramon S. Matz R. Farrokhnia David Martens 30 17 0 12 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
EvoLearner: Learning Description Logics with Evolutionary Algorithms Stefan Heindorf Lukas Blübaum Nick Dusterhus Till Werner Varun Nandkumar Golani Caglar Demir A. N. Ngomo 13 21 0 08 Nov 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 26 49 0 27 Oct 2021
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act Francesco Sovrano Salvatore Sapienza M. Palmirani F. Vitali 14 17 0 21 Oct 2021
Tree-based local explanations of machine learning model predictions, AraucanaXAI Enea Parimbelli G. Nicora Szymon Wilk W. Michalowski Riccardo Bellazzi 16 25 0 15 Oct 2021
Clustering-Based Interpretation of Deep ReLU Network Nicola Picchiotti Marco Gori FAtt 17 0 0 13 Oct 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates Xiaochuang Han Yulia Tsvetkov TDI 31 30 0 07 Oct 2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model Alexander Sieusahai Matthew J. Guzdial 35 13 0 07 Oct 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 28 19 0 05 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 45 647 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
LEMON: Explainable Entity Matching Nils Barlaug FAtt AAML 20 9 0 01 Oct 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials Newsha Emaminejad Reza Akhavian 28 48 0 27 Sep 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 59 58 0 26 Sep 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 24 76 0 23 Sep 2021
Comparing decision mining approaches with regard to the meaningfulness of their results Beate Scheibel Stefanie Rinderle-Ma 11 4 0 15 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 36 42 0 07 Sep 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 25 1 0 02 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 41 234 0 02 Sep 2021
XAI Methods for Neural Time Series Classification: A Brief Review Ilija vSimić Vedran Sabol Eduardo E. Veas BDL AI4TS 27 13 0 18 Aug 2021
Synthesizing Pareto-Optimal Interpretations for Black-Box Models Hazem Torfah Shetal Shah Supratik Chakraborty S. Akshay S. Seshia 30 6 0 16 Aug 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 32 85 0 28 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 121 0 16 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 30 90 0 07 Jul 2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms Yanou Ramon T. Vermeire Olivier Toubia David Martens Theodoros Evgeniou 26 10 0 06 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 94 0 01 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 21 46 0 01 Jul 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 33 64 0 24 Jun 2021
Rational Shapley Values David S. Watson 23 20 0 18 Jun 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking Hang Jiang Sairam Gurajada Qiuhao Lu S. Neelam Lucian Popa Prithviraj Sen Yunyao Li Alexander G. Gray 14 25 0 17 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 46 4 0 15 Jun 2021