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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
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations Teodor Chiaburu F. Biessmann Frank Haußer 55 2 0 15 Jun 2022
A Methodology and Software Architecture to Support Explainability-by-Design T. D. Huynh Niko Tsakalakis Ayah Helal Sophie Stalla-Bourdillon Luc Moreau 55 5 0 13 Jun 2022
Efficient Human-in-the-loop System for Guiding DNNs Attention Yi He Xi Yang Chia-Ming Chang Haoran Xie Takeo Igarashi 87 8 0 13 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 123 13 0 09 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 94 37 0 08 Jun 2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making Mingxuan Liu Yilin Ning Han Yuan M. Ong Nan Liu FAtt 43 1 0 08 Jun 2022
Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit Manuel Guimarães Joana Campos Pedro A. Santos João Dias R. Prada 10 1 0 07 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 74 55 0 07 Jun 2022
GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation Mario Alfonso Prado-Romero Giovanni Stilo 50 16 0 07 Jun 2022
Towards Responsible AI for Financial Transactions Charl Maree Jan Erik Modal C. Omlin AAML 105 17 0 06 Jun 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 124 20 0 31 May 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 189 69 0 31 May 2022
Fool SHAP with Stealthily Biased Sampling Gabriel Laberge Ulrich Aïvodji Satoshi Hara M. Marchand Foutse Khomh MLAU AAML FAtt 46 2 0 30 May 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior Eldar David Abraham Karel DÓosterlinck Amir Feder Y. Gat Atticus Geiger Christopher Potts Roi Reichart Zhengxuan Wu CML 122 47 0 27 May 2022
Interpretation Quality Score for Measuring the Quality of interpretability methods Sean Xie Soroush Vosoughi Saeed Hassanpour XAI 111 5 0 24 May 2022
Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement Antonio Rago P. Baroni Francesca Toni CML 73 5 0 23 May 2022
Explanatory machine learning for sequential human teaching L. Ai Johannes Langer Stephen Muggleton Ute Schmid 100 5 0 20 May 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 100 64 0 20 May 2022
FIND:Explainable Framework for Meta-learning Xinyue Shao Hongzhi Wang Xiao-Wen Zhu Feng Xiong FedML 39 2 0 20 May 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees Yacine Izza Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt 75 8 0 19 May 2022
One Explanation to Rule them All -- Ensemble Consistent Explanations André Artelt Stelios G. Vrachimis Demetrios G. Eliades Marios M. Polycarpou Barbara Hammer 35 7 0 18 May 2022
A Psychological Theory of Explainability Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto XAI FAtt 97 17 0 17 May 2022
Is explainable AI a race against model complexity? Advait Sarkar LRM 100 15 0 17 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aïvodji Stephen H. Bach Himabindu Lakkaraju 92 58 0 15 May 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law Thierry Kirat Olivia Tambou Virginie Do A. Tsoukiás FaML 52 15 0 14 May 2022
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty Andrew Fuchs A. Passarella M. Conti 73 4 0 13 May 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 72 59 0 11 May 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting Ulrike Kuhl André Artelt Barbara Hammer 81 27 0 11 May 2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment Yaniv Yacoby Ben Green Christopher L. Griffin Finale Doshi Velez 87 17 0 11 May 2022
Lifelong Personal Context Recognition A. Bontempelli Marcelo D. Rodas-Brítez Xiaoyue Li Haonan Zhao L. Erculiani Stefano Teso Andrea Passerini Fausto Giunchiglia 139 5 0 10 May 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection Esma Balkir I. Nejadgholi Kathleen C. Fraser S. Kiritchenko FAtt 69 27 0 06 May 2022
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction G. Cancro Shimei Pan James R. Foulds 47 2 0 06 May 2022
Interactive Model Cards: A Human-Centered Approach to Model Documentation Anamaria Crisan Margaret Drouhard Jesse Vig Nazneen Rajani HAI 83 92 0 05 May 2022
Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild Stephanie Brandl Daniel Hershcovich Anders Søgaard 40 2 0 03 May 2022
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security Maede Zolanvari Zebo Yang K. Khan Rajkumar Jain N. Meskin 61 79 0 02 May 2022
Designing for Responsible Trust in AI Systems: A Communication Perspective Q. V. Liao S. Sundar 73 109 0 29 Apr 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams Johannes Haug Effi Tramountani Gjergji Kasneci 39 5 0 28 Apr 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 99 137 0 25 Apr 2022
Integrating Prior Knowledge in Post-hoc Explanations Adulam Jeyasothy Thibault Laugel Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki 31 6 0 25 Apr 2022
Computing the Collection of Good Models for Rule Lists Kota Mata Kentaro Kanamori Hiroki Arimura 111 9 0 24 Apr 2022
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines Bojan Karlavs David Dao Matteo Interlandi Yue Liu Sebastian Schelter Wentao Wu Ce Zhang TDI 67 27 0 23 Apr 2022
Exploring Hidden Semantics in Neural Networks with Symbolic Regression Yuanzhen Luo Qiang Lu Xilei Hu Jake Luo Zhiguang Wang 57 0 0 22 Apr 2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI Greta Warren Mark T. Keane R. Byrne CML 75 22 0 21 Apr 2022
Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices K. Kamal Bilal Farooq 32 4 0 20 Apr 2022
Recurrent neural networks that generalize from examples and optimize by dreaming Miriam Aquaro Francesco Alemanno Ido Kanter Fabrizio Durante E. Agliari Adriano Barra CLL 89 5 0 17 Apr 2022
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions S. P. Adam A. Likas 25 0 0 05 Apr 2022
On Explaining Multimodal Hateful Meme Detection Models Ming Shan Hee Roy Ka-wei Lee Wen-Haw Chong VLM 107 41 0 04 Apr 2022
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries Haekyu Park Seongmin Lee Benjamin Hoover Austin P. Wright Omar Shaikh Rahul Duggal Nilaksh Das Kevin Wenliang Li Judy Hoffman Duen Horng Chau 71 2 0 30 Mar 2022
BELLATREX: Building Explanations through a LocaLly AccuraTe Rule EXtractor Klest Dedja F. Nakano Konstantinos Pliakos C. Vens 66 5 0 29 Mar 2022
User Driven Model Adjustment via Boolean Rule Explanations Elizabeth M. Daly Massimiliano Mattetti Öznur Alkan Rahul Nair AAML 41 11 0 28 Mar 2022