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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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Title
Does Dataset Complexity Matters for Model Explainers? J. Ribeiro R. Silva Lucas F. F. Cardoso Ronnie Cley de Oliveira Alves XAI ELM 43 14 0 06 Jul 2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms Yanou Ramon T. Vermeire Olivier Toubia David Martens Theodoros Evgeniou 74 10 0 06 Jul 2021
A Review of Explainable Artificial Intelligence in Manufacturing G. Sofianidis Jože M. Rožanec Dunja Mladenić D. Kyriazis 84 17 0 05 Jul 2021
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning Robin Louiset Pietro Gori Benoit Dufumier J. Houenou Antoine Grigis Edouard Duchesnay 38 2 0 05 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 99 14 0 05 Jul 2021
An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data A. Ultsch J. Hoffmann M. Röhnert M. Bonin U. Oelschlägel C. Brendel M. Thrun 38 7 0 05 Jul 2021
Class Introspection: A Novel Technique for Detecting Unlabeled Subclasses by Leveraging Classifier Explainability Methods Patrick Kage Pavlos Andreadis 46 1 0 04 Jul 2021
Efficient Explanations for Knowledge Compilation Languages Xuanxiang Huang Yacine Izza Alexey Ignatiev Martin C. Cooper Nicholas M. Asher Sasha Rubin 70 15 0 04 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 169 101 0 01 Jul 2021
A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI A. Midtfjord R. D. Bin A. Huseby 40 27 0 01 Jul 2021
Combining Feature and Instance Attribution to Detect Artifacts Pouya Pezeshkpour Sarthak Jain Sameer Singh Byron C. Wallace TDI 131 42 0 01 Jul 2021
ControlBurn: Feature Selection by Sparse Forests Brian Liu Miao Xie Madeleine Udell 390 11 0 01 Jul 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 71 18 0 29 Jun 2021
Semantic Reasoning from Model-Agnostic Explanations Timen Stepisnik Perdih Nada Lavrac Blaž Škrlj LRM 45 4 0 29 Jun 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis Linyi Yang Jiazheng Li Padraig Cunningham Yue Zhang Barry Smyth Ruihai Dong 92 48 0 29 Jun 2021
Contrastive Counterfactual Visual Explanations With Overdetermination Adam White K. Ngan James Phelan Saman Sadeghi Afgeh Kevin Ryan C. Reyes-Aldasoro Artur Garcez 53 8 0 28 Jun 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 65 36 0 27 Jun 2021
A Comprehensive Survey of Incentive Mechanism for Federated Learning Rongfei Zeng Chaobing Zeng Xingwei Wang Yue Liu Xiaowen Chu FedML 80 101 0 27 Jun 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 100 36 0 25 Jun 2021
What will it take to generate fairness-preserving explanations? Jessica Dai Sohini Upadhyay Stephen H. Bach Himabindu Lakkaraju FAtt FaML 53 14 0 24 Jun 2021
Prediction of geophysical properties of rocks on rare well data and attributes of seismic waves by machine learning methods on the example of the Achimov formation D. Ivlev 35 4 0 24 Jun 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 107 66 0 24 Jun 2021
On Locality of Local Explanation Models Sahra Ghalebikesabi Lucile Ter-Minassian Karla Diaz-Ordaz Chris Holmes FedML FAtt 73 40 0 24 Jun 2021
Evaluation of Saliency-based Explainability Method Sam Zabdiel Sunder Samuel V. Kamakshi Namrata Lodhi N. C. Krishnan FAtt XAI 56 12 0 24 Jun 2021
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning Samira Ziyadidegan Moein Razavi Homa Pesarakli A. Javid M. Erraguntla 36 5 0 24 Jun 2021
Reimagining GNN Explanations with ideas from Tabular Data Anjali Singh K. ShamanthRNayak Balaji Ganesan LMTD 55 1 0 23 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 115 67 0 23 Jun 2021
groupShapley: Efficient prediction explanation with Shapley values for feature groups Martin Jullum Annabelle Redelmeier K. Aas TDI FAtt 85 22 0 23 Jun 2021
Towards Automated Evaluation of Explanations in Graph Neural Networks Bannihati Kumar Vanya Balaji Ganesan Aniket Saxena Devbrat Sharma Arvind Agarwal XAI GNN 57 4 0 22 Jun 2021
Multivariate Data Explanation by Jumping Emerging Patterns Visualization Mário Popolin Neto F. Paulovich 83 7 0 21 Jun 2021
A Game-Theoretic Taxonomy of Visual Concepts in DNNs Xu Cheng Chuntung Chu Yi Zheng Jie Ren Quanshi Zhang 47 22 0 21 Jun 2021
Polyconvex anisotropic hyperelasticity with neural networks Dominik K. Klein Mauricio Fernández Robert J. Martin P. Neff Oliver Weeger 88 157 0 20 Jun 2021
Rational Shapley Values David S. Watson 81 21 0 18 Jun 2021
NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights Kirill Bykov Anna Hedström Shinichi Nakajima Marina M.-C. Höhne FAtt 95 35 0 18 Jun 2021
It's FLAN time! Summing feature-wise latent representations for interpretability An-phi Nguyen María Rodríguez Martínez FAtt 37 0 0 18 Jun 2021
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis Martin Pawelczyk Chirag Agarwal Shalmali Joshi Sohini Upadhyay Himabindu Lakkaraju AAML 82 53 0 18 Jun 2021
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori R. Caruana Zhiqi Bu J. Shen Janardhan Kulkarni 83 38 0 17 Jun 2021
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles Anirudh Som Sujeong Kim Bladimir Lopez-Prado Svati Dhamija Nonye Alozie Amir Tamrakar 16 2 0 17 Jun 2021
Model-Based Counterfactual Synthesizer for Interpretation Fan Yang Sahan Suresh Alva Jiahao Chen X. Hu 47 31 0 16 Jun 2021
Best of both worlds: local and global explanations with human-understandable concepts Jessica Schrouff Sebastien Baur Shaobo Hou Diana Mincu Eric Loreaux Ralph Blanes James Wexler Alan Karthikesalingam Been Kim FAtt 109 28 0 16 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 77 4 0 15 Jun 2021
S-LIME: Stabilized-LIME for Model Explanation Zhengze Zhou Giles Hooker Fei Wang FAtt 161 93 0 15 Jun 2021
Pitfalls of Explainable ML: An Industry Perspective Sahil Verma Aditya Lahiri John P. Dickerson Su-In Lee XAI 60 9 0 14 Jun 2021
HUMAP: Hierarchical Uniform Manifold Approximation and Projection Wilson E. Marcílio-Jr D. M. Eler F. Paulovich Rafael M. Martins 56 10 0 14 Jun 2021
Characterizing the risk of fairwashing Ulrich Aïvodji Hiromi Arai Sébastien Gambs Satoshi Hara 92 28 0 14 Jun 2021
Exploring deterministic frequency deviations with explainable AI Johannes Kruse B. Schäfer D. Witthaut 38 15 0 14 Jun 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 51 12 0 14 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 107 22 0 13 Jun 2021
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 97 80 0 12 Jun 2021
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features F. Ventura Salvatore Greco D. Apiletti Tania Cerquitelli 45 1 0 12 Jun 2021