A Survey Of Methods For Explaining Black Box Models

6 February 2018

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

50 / 419 papers shown

Title
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
Keep CALM and Improve Visual Feature Attribution Jae Myung Kim Junsuk Choe Zeynep Akata Seong Joon Oh FAtt 347 20 0 15 Jun 2021
Characterizing the risk of fairwashing Ulrich Aïvodji Hiromi Arai Sébastien Gambs Satoshi Hara 23 27 0 14 Jun 2021
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier Thibaut Vidal 19 54 0 11 Jun 2021
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling M. T. Fischer Daniel Seebacher Rita Sevastjanova Daniel A. Keim Mennatallah El-Assady 25 10 0 11 Jun 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 38 43 0 10 Jun 2021
On the Lack of Robust Interpretability of Neural Text Classifiers Muhammad Bilal Zafar Michele Donini Dylan Slack Cédric Archambeau Sanjiv Ranjan Das K. Kenthapadi AAML 11 21 0 08 Jun 2021
A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations Chaofan Chen Kangcheng Lin Cynthia Rudin Yaron Shaposhnik Sijia Wang Tong Wang 19 41 0 04 Jun 2021
On Efficiently Explaining Graph-Based Classifiers Xuanxiang Huang Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 34 37 0 02 Jun 2021
HisVA: A Visual Analytics System for Studying History Dongyun Han Gorakh Parsad Hwiyeon Kim Jaekyom Shim Oh-Sang Kwon Kyung A Son Jooyoung Lee Isaac Cho Sungahn Ko 8 8 0 01 Jun 2021
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning K. Morik Helena Kotthaus Lukas Heppe Danny Heinrich Raphael Fischer Andrea Pauly Nico Piatkowski 23 4 0 01 Jun 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods E. Amparore Alan Perotti P. Bajardi FAtt 19 68 0 01 Jun 2021
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization Emilio Gamba B. Bogaerts Tias Guns LRM 34 6 0 25 May 2021
Argumentative XAI: A Survey Kristijonas vCyras Antonio Rago Emanuele Albini P. Baroni Francesca Toni 18 142 0 24 May 2021
Probabilistic Sufficient Explanations Eric Wang Pasha Khosravi Mathias Niepert XAI FAtt TPM 30 23 0 21 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 29 139 0 17 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 29 183 0 15 May 2021
Information-theoretic Evolution of Model Agnostic Global Explanations Sukriti Verma Nikaash Puri Piyush B. Gupta Balaji Krishnamurthy FAtt 29 0 0 14 May 2021
Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business M. Edrisi 32 0 0 09 May 2021
Explainable Autonomous Robots: A Survey and Perspective Tatsuya Sakai Takayuki Nagai 20 67 0 06 May 2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain Samanta Knapic A. Malhi Rohit Saluja Kary Främling 18 99 0 05 May 2021
Rethinking Search: Making Domain Experts out of Dilettantes Donald Metzler Yi Tay Dara Bahri Marc Najork LRM 38 46 0 05 May 2021
Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development Simon Enni Ira Assent 14 3 0 03 May 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
Model Learning with Personalized Interpretability Estimation (ML-PIE) M. Virgolin A. D. Lorenzo Francesca Randone Eric Medvet M. Wahde 24 29 0 13 Apr 2021
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks Meghna P. Ayyar J. Benois-Pineau A. Zemmari FAtt 24 17 0 06 Apr 2021
Contrastive Explanations for Explaining Model Adaptations André Artelt Fabian Hinder Valerie Vaquet Robert Feldhans Barbara Hammer 44 4 0 06 Apr 2021
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions Senthil Kumar Jagatheesaperumal Mohamed Rahouti Kashif Ahmad Ala I. Al-Fuqaha Mohsen Guizani AI4CE 17 19 0 06 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 27 44 0 06 Apr 2021
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms Ana Lucic Madhulika Srikumar Umang Bhatt Alice Xiang Ankur Taly Q. V. Liao Maarten de Rijke 28 5 0 27 Mar 2021
Detecting Racial Bias in Jury Selection Jack Dunn Ying Daisy Zhuo 20 1 0 22 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 35 48 0 20 Mar 2021
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones Andrew P. Creagh F. Lipsmeier M. Lindemann M. D. Vos 24 17 0 16 Mar 2021
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset Adrianna Janik J. Dodd Georgiana Ifrim Kris Sankaran Kathleen M. Curran 33 26 0 15 Mar 2021
A conditional, a fuzzy and a probabilistic interpretation of self-organising maps Laura Giordano Valentina Gliozzi Daniele Theseider Dupré AI4CE 40 23 0 11 Mar 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics Valerie Chen Jeffrey Li Joon Sik Kim Gregory Plumb Ameet Talwalkar 32 29 0 10 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu C. Tantithamthavorn Li Li Yepang Liu AAML 30 77 0 09 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 11 214 0 09 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Interpretable Multi-Modal Hate Speech Detection Prashanth Vijayaraghavan Hugo Larochelle D. Roy 16 35 0 02 Mar 2021
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada CML AAML 18 33 0 01 Mar 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 40 25 0 17 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021