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A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

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BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks Lyle Regenwetter Brent Curry Faez Ahmed 131 38 0 10 Mar 2021
Explaining dimensionality reduction results using Shapley values Wilson E. Marcílio-Jr D. M. Eler FAtt 43 34 0 09 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 88 81 0 09 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 105 223 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 165 179 0 07 Mar 2021
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 150 21 0 05 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 59 21 0 04 Mar 2021
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction Aniruddh Raghu John Guttag K. Young E. Pomerantsev Adrian Dalca Collin M. Stultz 49 9 0 04 Mar 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans Cher Bass Mariana da Silva Carole Sudre Logan Z. J. Williams Petru-Daniel Tudosiu F. Alfaro-Almagro S. Fitzgibbon M. Glasser Stephen M. Smith E. C. Robinson 69 27 0 03 Mar 2021
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making Alexandra Zytek Dongyu Liu R. Vaithianathan K. Veeramachaneni 68 48 0 02 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 166 72 0 02 Mar 2021
Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis Adriano Lucieri Andreas Dengel Sheraz Ahmed 122 7 0 02 Mar 2021
Explainable AI in Credit Risk Management Branka Hadji Misheva Jörg Osterrieder Ali Hirsa O. Kulkarni Stephen Lin 72 70 0 01 Mar 2021
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence Atoosa Kasirzadeh 70 24 0 01 Mar 2021
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models Jackie Ayoub X. J. Yang Feng Zhou 110 132 0 01 Mar 2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey Tom Roth Yansong Gao A. Abuadbba Surya Nepal Wei Liu AAML 120 12 0 01 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton Scott M. Lundberg Lei Zhang Stephanie Fu William T. Freeman FAtt 89 10 0 28 Feb 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 94 146 0 26 Feb 2021
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA Clément Bénard Sébastien Da Veiga Erwan Scornet 134 53 0 26 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 129 234 0 25 Feb 2021
On Interpretability and Similarity in Concept-Based Machine Learning L. Kwuida D. Ignatov 29 2 0 25 Feb 2021
Adversarial Robustness with Non-uniform Perturbations Ece Naz Erdemir Jeffrey Bickford Luca Melis Sergul Aydore AAML 75 27 0 24 Feb 2021
Feature Importance Explanations for Temporal Black-Box Models Akshay Sood M. Craven FAtt OOD 135 16 0 23 Feb 2021
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery L. Brito Gian Antonio Susto J. N. Brito M. Duarte 55 189 0 23 Feb 2021
Shapley values for feature selection: The good, the bad, and the axioms D. Fryer Inga Strümke Hien Nguyen FAtt TDI 114 206 0 22 Feb 2021
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations Sushant Agarwal S. Jabbari Chirag Agarwal Sohini Upadhyay Zhiwei Steven Wu Himabindu Lakkaraju FAtt AAML 95 64 0 21 Feb 2021
Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data Luisa Roa Andrés Rodríguez-Rey Alejandro Correa-Bahnsen C. Valencia 30 5 0 19 Feb 2021
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making Zana Buçinca M. Malaya Krzysztof Z. Gajos 80 340 0 19 Feb 2021
ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens Giulia Cisotto A. Trentini I. Zoppis Alessio Zanga Sara Manzoni G. Pietrabissa Anna Guerrini Usubini G. Castelnuovo 155 4 0 17 Feb 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 93 27 0 17 Feb 2021
Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework Konstantinos Demertzis Konstantinos G. Tsiknas Dimitrios Takezis C. Skianis L. Iliadis 18 42 0 16 Feb 2021
Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning Jakob Greis Artem Yushchenko Dan Vogel M. Meier Volker Steinhage 24 4 0 16 Feb 2021
Deep Co-Attention Network for Multi-View Subspace Learning Lecheng Zheng Y. Cheng Hongxia Yang Nan Cao Jingrui He 65 33 0 15 Feb 2021
Connecting Interpretability and Robustness in Decision Trees through Separation Michal Moshkovitz Yao-Yuan Yang Kamalika Chaudhuri 79 23 0 14 Feb 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods B. Hamzi R. Maulik H. Owhadi AI4TS 76 29 0 13 Feb 2021
Variable importance scores Wei-Yin Loh Peigen Zhou FAtt 28 31 0 13 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 71 30 0 12 Feb 2021
VitrAI -- Applying Explainable AI in the Real World Marc Hanussek Falko Kötter Maximilien Kintz Jens Drawehn 39 2 0 12 Feb 2021
Explaining predictive models using Shapley values and non-parametric vine copulas K. Aas T. Nagler Martin Jullum Anders Løland FAtt 77 20 0 12 Feb 2021
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 49 5 0 11 Feb 2021
Towards Better Explanations of Class Activation Mapping Hyungsik Jung Youngrock Oh FAtt 82 79 0 10 Feb 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 396 0 09 Feb 2021
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 83 35 0 07 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 227 147 0 05 Feb 2021
Convolutional Neural Network Interpretability with General Pattern Theory Erico Tjoa Cuntai Guan FAtt AI4CE 41 6 0 05 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 118 26 0 04 Feb 2021
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 146 505 0 03 Feb 2021
Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques B. Overes Michel van der Wel 24 6 0 29 Jan 2021
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models Diego Rojo N. Htun Denis Parra Robin De Croon K. Verbert 35 7 0 28 Jan 2021
Choice modelling in the age of machine learning -- discussion paper Sander van Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 85 97 0 28 Jan 2021