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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
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs Hui Li Zihao Li Rui Ma Tieru Wu FAtt 40 9 0 17 Jun 2022
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning Bálint Gyevnár Massimiliano Tamborski Cheng-Hsien Wang Christopher G. Lucas Shay B. Cohen Stefano V. Albrecht 62 11 0 17 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou FAtt 88 22 0 17 Jun 2022
Classification of datasets with imputed missing values: does imputation quality matter? Tolou Shadbahr M. Roberts Jan Stanczuk J. Gilbey P. Teare ... T. Mirtti A. Rannikko J. Aston Jing Tang Carola-Bibiane Schönlieb 68 59 0 16 Jun 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 52 5 0 16 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 110 16 0 16 Jun 2022
Architectural Backdoors in Neural Networks Mikel Bober-Irizar Ilia Shumailov Yiren Zhao Robert D. Mullins Nicolas Papernot AAML 62 26 0 15 Jun 2022
Combining Counterfactuals With Shapley Values To Explain Image Models Aditya Lahiri Kamran Alipour Ehsan Adeli Babak Salimi FAtt 73 7 0 14 Jun 2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models Patrick Blobaum P. Götz Kailash Budhathoki Atalanti A. Mastakouri Dominik Janzing 66 58 0 14 Jun 2022
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble G. Tahir C. K. Loo Zongying Liu AAML 32 0 0 12 Jun 2022
A Functional Information Perspective on Model Interpretation Itai Gat Nitay Calderon Roi Reichart Tamir Hazan AAML FAtt 84 6 0 12 Jun 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance Andrew Bell O. Nov Julia Stoyanovich 77 29 0 10 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers Ian Covert Chanwoo Kim Su-In Lee FAtt 89 39 0 10 Jun 2022
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks Claudia V. Roberts Ehtsham Elahi Ashok Chandrashekar FAtt 56 4 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
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 87 150 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
Confounder Analysis in Measuring Representation in Product Funnels Jilei Yang Wentao Su CML 50 0 0 07 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 81 6 0 06 Jun 2022
Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI Fabrizia Auletta Rachel W. Kallen M. D. Bernardo Micheal J. Richardson 29 2 0 06 Jun 2022
Towards Responsible AI for Financial Transactions Charl Maree Jan Erik Modal C. Omlin AAML 105 17 0 06 Jun 2022
Machine learning models for determination of weldbead shape parameters for gas metal arc welded T-joints -- A comparative study R. Pradhan A. P. Joshi M. R. Sunny A. Sarkar 13 2 0 06 Jun 2022
Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence Thao Le Tim Miller Ronal Singh L. Sonenberg 48 11 0 06 Jun 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 56 24 0 05 Jun 2022
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets Sreejita Ghosh E. Baranowski Michael Biehl W. Arlt Peter Tiño the United Kingdom Utrecht University 68 6 0 04 Jun 2022
Understanding Deep Learning via Decision Boundary Shiye Lei Fengxiang He Yancheng Yuan Dacheng Tao 74 14 0 03 Jun 2022
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning Michael T. Lash 90 0 0 02 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han Suraj Srinivas Himabindu Lakkaraju FAtt 134 89 0 02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 107 38 0 02 Jun 2022
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model Hangzhi Guo Feiran Jia Jinghui Chen Anna Squicciarini A. Yadav OOD 128 7 0 01 Jun 2022
Differentially Private Shapley Values for Data Evaluation Lauren Watson R. Andreeva Hao Yang Rik Sarkar TDI FAtt FedML 78 6 0 01 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 62 30 0 01 Jun 2022
OmniXAI: A Library for Explainable AI Wenzhuo Yang Hung Le Tanmay Laud Silvio Savarese Guosheng Lin SyDa 83 41 0 01 Jun 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 130 20 0 31 May 2022
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables Manjinder Singh Alexander E. I. Brownlee David Cairns 66 13 0 31 May 2022
Individual health-disease phase diagrams for disease prevention based on machine learning Kazuki Nakamura Eiichiro Uchino Noriaki Sato Ayano Araki Kei Terayama ... K. Murashita Ken Itoh Tatsuya Mikami Yoshinori Tamada Yasushi Okuno AI4CE 26 7 0 31 May 2022
Comparing interpretation methods in mental state decoding analyses with deep learning models A. Thomas Christopher Ré R. Poldrack AI4CE 76 2 0 31 May 2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation Wenzhuo Yang Jia Li Caiming Xiong Guosheng Lin CML 88 13 0 31 May 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 187 106 0 30 May 2022
Fool SHAP with Stealthily Biased Sampling Gabriel Laberge Ulrich Aïvodji Satoshi Hara M. Marchand Foutse Khomh MLAU AAML FAtt 48 2 0 30 May 2022
Attention Flows for General Transformers Niklas Metzger Christopher Hahn Julian Siber Frederik Schmitt Bernd Finkbeiner 67 0 0 30 May 2022
CHALLENGER: Training with Attribution Maps Christian Tomani Zorah Lähner 27 1 0 30 May 2022
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review Fahad Al-homayani Mohammad H. Mahoor 89 66 0 30 May 2022
Unfooling Perturbation-Based Post Hoc Explainers Zachariah Carmichael Walter J. Scheirer AAML 92 15 0 29 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 131 47 0 27 May 2022
Neural Basis Models for Interpretability Filip Radenovic Abhimanyu Dubey D. Mahajan FAtt 142 47 0 27 May 2022
Prototype Based Classification from Hierarchy to Fairness Mycal Tucker J. Shah FaML 54 7 0 27 May 2022
A Sea of Words: An In-Depth Analysis of Anchors for Text Data Gianluigi Lopardo F. Precioso Damien Garreau 64 6 0 27 May 2022
Forecasting Patient Demand at Urgent Care Clinics using Machine Learning Paula Maddigan Teo Susnjak OOD 35 4 0 25 May 2022