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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
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 92 33 0 18 Apr 2021
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results Marcelo Arenas Pablo Barceló Leopoldo Bertossi Mikaël Monet FAtt 79 35 0 16 Apr 2021
NICE: An Algorithm for Nearest Instance Counterfactual Explanations Dieter Brughmans Pieter Leyman David Martens 83 65 0 15 Apr 2021
Text Guide: Improving the quality of long text classification by a text selection method based on feature importance K. Fiok W. Karwowski Edgar Gutierrez-Franco Mohammad Reza Davahli Maciej Wilamowski T. Ahram Awad M. Aljuaid Jozef Zurada VLM 62 34 0 15 Apr 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection Mohanad Sarhan S. Layeghy Marius Portmann 72 69 0 15 Apr 2021
What Makes a Scientific Paper be Accepted for Publication? Panagiotis Fytas Georgios Rizos Lucia Specia 45 10 0 14 Apr 2021
To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions K. D. Bie Ana Lucic H. Haned FAtt 61 11 0 14 Apr 2021
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models P. Biecek M. Chlebus Janusz Gajda Alicja Gosiewska A. Kozak Dominik Ogonowski Jakub Sztachelski P. Wojewnik 37 11 0 14 Apr 2021
Generative Causal Explanations for Graph Neural Networks Wanyu Lin Hao Lan Baochun Li CML 67 179 0 14 Apr 2021
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution Huiqi Deng Na Zou Weifu Chen Guo-Can Feng Mengnan Du Helen Zhou FAtt 71 6 0 14 Apr 2021
Conclusive Local Interpretation Rules for Random Forests Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas FaML FAtt 72 18 0 13 Apr 2021
Enhancing User' s Income Estimation with Super-App Alternative Data Gabriel Suarez Juan Raful María A. Luque C. Valencia Alejandro Correa-Bahnsen 14 1 0 12 Apr 2021
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML S. Narkar Yunfeng Zhang Q. V. Liao Dakuo Wang Justin D. Weisz 64 25 0 09 Apr 2021
An Empirical Comparison of Instance Attribution Methods for NLP Pouya Pezeshkpour Sarthak Jain Byron C. Wallace Sameer Singh TDI 122 35 0 09 Apr 2021
Question-Driven Design Process for Explainable AI User Experiences Q. V. Liao Milena Pribić Jaesik Han Sarah Miller Daby M. Sow 128 54 0 08 Apr 2021
Deep Interpretable Models of Theory of Mind Ini Oguntola Dana Hughes Katia Sycara HAI 81 28 0 07 Apr 2021
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series Rohit Saluja A. Malhi Samanta Knapic Kary Främling C. Cavdar XAI AI4TS 62 19 0 06 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 94 46 0 06 Apr 2021
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure Ayse S. Cakmak Samuel Densen Gabriel Najarro Pratik Rout Christopher Rozell O. Inan Amit J. Shah Gari D. Clifford 20 0 0 04 Apr 2021
STARdom: an architecture for trusted and secure human-centered manufacturing systems Jože M. Rožanec Patrik Zajec K. Kenda I. Novalija B. Fortuna ... Diego Reforgiato Recupero D. Kyriazis G. Sofianidis Spyros Theodoropoulos John Soldatos 53 7 0 02 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 103 135 0 02 Apr 2021
Coalitional strategies for efficient individual prediction explanation Gabriel Ferrettini Elodie Escriva Julien Aligon Jean-Baptiste Excoffier C. Soulé-Dupuy 63 19 0 01 Apr 2021
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization Tien-Ju Yang Yi-Lun Liao Vivienne Sze 118 57 0 31 Mar 2021
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications P. M. Winter Sebastian K. Eder J. Weissenbock Christoph Schwald Thomas Doms Tom Vogt Sepp Hochreiter Bernhard Nessler 115 25 0 31 Mar 2021
MISA: Online Defense of Trojaned Models using Misattributions Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 56 10 0 29 Mar 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Hila Chefer Shir Gur Lior Wolf ViT 115 328 0 29 Mar 2021
Efficient Explanations from Empirical Explainers Robert Schwarzenberg Nils Feldhus Sebastian Möller FAtt 93 9 0 29 Mar 2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Sophia J. Abraham Zachariah Carmichael Sreya Banerjee Rosaura G. VidalMata Ankit Agrawal M. N. A. Islam Walter J. Scheirer J. Cleland-Huang 74 20 0 28 Mar 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 57 5 0 27 Mar 2021
Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving Feng Zhou X. J. Yang J. D. Winter 48 101 0 27 Mar 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice David S. Watson Limor Gultchin Ankur Taly Luciano Floridi 88 64 0 27 Mar 2021
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren 82 24 0 26 Mar 2021
Quantitative Prediction on the Enantioselectivity of Multiple Chiral Iodoarene Scaffolds Based on Whole Geometry Prema Dhorma Lama Surendra Kumar Kang Kim Sang-Doo Ahn Mi-hyun Kim 23 0 0 25 Mar 2021
ECINN: Efficient Counterfactuals from Invertible Neural Networks Frederik Hvilshoj Alexandros Iosifidis Ira Assent BDL 77 26 0 25 Mar 2021
The Shapley Value of coalition of variables provides better explanations Salim I. Amoukou Nicolas Brunel Tangi Salaun FAtt TDI 58 5 0 24 Mar 2021
Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical Processes P. Agarwal Melih Tamer H. Budman AAML 47 44 0 22 Mar 2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals Sainyam Galhotra Romila Pradhan Babak Salimi CML 105 110 0 22 Mar 2021
Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles M. Merz Ronald Richman A. Tsanakas M. Wüthrich FAtt 40 11 0 22 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 83 26 0 20 Mar 2021
Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions Shuyu Lu Ruoyu Chen Wei Wei Xinghua Lu FAtt 31 28 0 20 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 120 52 0 20 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 84 344 0 19 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez López Massimo Caccia Alexandre Lacoste L. Zamparo I. Laradji Laurent Charlin David Vazquez AAML 102 57 0 18 Mar 2021
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction Mobarakol Islam Navodini Wijethilake Hongliang Ren 65 33 0 17 Mar 2021
Neural Networks and Denotation E. Allen 43 0 0 15 Mar 2021
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts Ayoub El Qadi Natalia Díaz Rodríguez M. Trocan Thomas Frossard 33 6 0 15 Mar 2021
A new interpretable unsupervised anomaly detection method based on residual explanation David F. N. Oliveira L. Vismari A. M. Nascimento J. R. de Almeida P. Cugnasca J. Camargo L. Almeida Rafael Gripp Marcelo M. Neves AAML 111 19 0 14 Mar 2021
Explaining Network Intrusion Detection System Using Explainable AI Framework Shraddha Mane Dattaraj J. Rao AAML 59 71 0 12 Mar 2021
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion Wai Tong Chung A. Mishra M. Ihme AI4CE 36 22 0 11 Mar 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics Valerie Chen Jeffrey Li Joon Sik Kim Gregory Plumb Ameet Talwalkar 74 31 0 10 Mar 2021