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Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction

30 August 2024

Khang Lam

Papers citing "Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction"

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Title
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 141 505 0 03 Feb 2021
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification Zhengxuan Wu Desmond C. Ong 78 22 0 01 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 209 689 0 28 Dec 2020
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 145 679 0 17 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 90 121 0 03 Dec 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions Aya Abdelsalam Ismail Mohamed K. Gunady H. C. Bravo Soheil Feizi XAI AI4TS FAtt 72 174 0 26 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 772 41,884 0 22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 178 178 0 20 Oct 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 241 284 0 15 Aug 2020
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies A. Markus J. Kors P. Rijnbeek 91 472 0 31 Jul 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 188 608 0 16 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 110 271 0 29 May 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.2K 42,714 0 28 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 77 67 0 18 May 2020
Explainable Reinforcement Learning: A Survey Erika Puiutta Eric M. S. P. Veith XAI 108 249 0 13 May 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 182 808 0 02 May 2020
Time Series Forecasting With Deep Learning: A Survey Bryan Lim S. Zohren AI4TS AI4CE 128 1,255 0 28 Apr 2020
Interpretable Safety Validation for Autonomous Vehicles Anthony Corso Mykel J. Kochenderfer 75 24 0 14 Apr 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 158 415 0 10 Mar 2020
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 151 222 0 02 Mar 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 318 0 08 Jan 2020
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making Yunfeng Zhang Q. V. Liao Rachel K. E. Bellamy 126 688 0 07 Jan 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 163 640 0 08 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 305 6,386 0 22 Oct 2019
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 200 581 0 22 Aug 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems Xingjun Ma Yuhao Niu Lin Gu Yisen Wang Yitian Zhao James Bailey Feng Lu MedIm AAML 93 459 0 24 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 170 1,467 0 17 Jul 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 116 362 0 27 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 159 1,153 0 23 May 2019
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 120 677 0 21 May 2019
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation Marco Ancona Cengiz Öztireli Markus Gross FAtt TDI 121 230 0 26 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 159 1,332 0 26 Feb 2019
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 77 215 0 17 Jul 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 142 1,873 0 31 May 2018
Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment Yingjun Ye Xiaohui Zhang Jian Sun 52 133 0 17 Apr 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 412 9,528 0 09 Feb 2018
TSViz: Demystification of Deep Learning Models for Time-Series Analysis Shoaib Ahmed Siddiqui Dominique Mercier Mohsin Munir Andreas Dengel Sheraz Ahmed FAtt AI4TS 115 84 0 08 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 263 4,011 0 06 Feb 2018
A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning Sina Mohseni Jeremy E. Block Eric D. Ragan FAtt XAI 95 62 0 16 Jan 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 158 1,044 0 02 Jan 2018
"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships Brett W. Israelsen Nisar R. Ahmed 70 86 0 08 Nov 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 208 2,377 0 01 Nov 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 132 785 0 02 Oct 2017
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives Derek Doran Sarah Schulz Tarek R. Besold XAI 68 440 0 02 Oct 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 121 1,198 0 28 Aug 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 296 2,280 0 24 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 980 133,443 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.3K 22,358 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 209 3,897 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 255 6,056 0 04 Mar 2017