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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
Local Explanations for Reinforcement Learning Ronny Luss Amit Dhurandhar Miao Liu FAtt OffRL 81 3 0 08 Feb 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience Antonios Mamalakis E. Barnes I. Ebert‐Uphoff 92 77 0 07 Feb 2022
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system Carlos Mougan G. Kanellos Johannes Micheler Jose Martinez Thomas Gottron 60 1 0 07 Feb 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 146 10 0 07 Feb 2022
Machine Learning Aided Holistic Handover Optimization for Emerging Networks M. Farooq Marvin Manalastas Syed Muhammad Asad Zaidi A. Abu-Dayya A. Imran 8 12 0 06 Feb 2022
A Game-theoretic Understanding of Repeated Explanations in ML Models Kavita Kumari Murtuza Jadliwala Sumit Kumar Jha U. Oklahoma FAtt 22 0 0 05 Feb 2022
The influence of labeling techniques in classifying human manipulation movement of different speed Sadique Adnan Siddiqui L. Gutzeit Frank Kirchner 24 0 0 04 Feb 2022
The impact of feature importance methods on the interpretation of defect classifiers Gopi Krishnan Rajbahadur Shaowei Wang Yasutaka Kamei Ahmed E. Hassan FAtt 57 83 0 04 Feb 2022
Towards a consistent interpretation of AIOps models Yingzhe Lyu Gopi Krishnan Rajbahadur Dayi Lin Boyuan Chen Zhen Ming Z. Jiang AI4CE 79 22 0 04 Feb 2022
Rethinking Explainability as a Dialogue: A Practitioner's Perspective Himabindu Lakkaraju Dylan Slack Yuxin Chen Chenhao Tan Sameer Singh LRM 110 64 0 03 Feb 2022
Who will Leave a Pediatric Weight Management Program and When? -- A machine learning approach for predicting attrition patterns Hamed Fayyaz T. Phan H. Bunnell Rahmatollah Beheshti MU 29 1 0 03 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 284 197 0 03 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 63 0 0 02 Feb 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods Abhineet Agarwal Yan Shuo Tan Omer Ronen Chandan Singh Bin Yu 95 27 0 02 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc Aleksander Madry TDI 141 143 0 01 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods Yao Rong Tobias Leemann V. Borisov Gjergji Kasneci Enkelejda Kasneci FAtt 103 98 0 01 Feb 2022
Exploring layerwise decision making in DNNs Coenraad Mouton Marelie Hattingh Davel FAtt AI4CE 13 2 0 01 Feb 2022
A pilot study of the Earable device to measure facial muscle and eye movement tasks among healthy volunteers M. Wipperman Galen Pogoncheff Katrina F. Mateo Xuefang Wu Yiziying Chen ... R. Deterding S. Hamon Tam Vu Rinol Alaj Olivier Harari 53 4 0 01 Feb 2022
Deconfounded Representation Similarity for Comparison of Neural Networks Tianyu Cui Yogesh Kumar Pekka Marttinen Samuel Kaski CML 108 17 0 31 Jan 2022
Metrics for saliency map evaluation of deep learning explanation methods T. Gomez Thomas Fréour Harold Mouchère XAI FAtt 134 45 0 31 Jan 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk Adam Kovacs Kinga Gémes Eszter Iklódi Gábor Recski 70 4 0 31 Jan 2022
Causal Explanations and XAI Sander Beckers CML XAI 88 36 0 31 Jan 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games Shichang Zhang Yozen Liu Neil Shah Yizhou Sun FAtt 124 48 0 28 Jan 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test Yebin Liu Haoliang Li Yangyang Guo Chen Kong Jing Li Shiqi Wang FAtt 183 43 0 28 Jan 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities Xin Du Bénédicte Legastelois B. Ganesh A. Rajan Hana Chockler Vaishak Belle Stuart Anderson S. Ramamoorthy AAML 82 6 0 27 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 141 17 0 27 Jan 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts Sebastian Bordt Michèle Finck Eric Raidl U. V. Luxburg AILaw 108 79 0 25 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 92 36 0 22 Jan 2022
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 74 6 0 22 Jan 2022
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis Nabil Ibtehaz M. Chowdhury Amith Khandakar S. Zughaier S. Kiranyaz Mohammad Sohel Rahman 39 25 0 20 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 183 423 0 20 Jan 2022
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework Junpeng Wang Liang Wang Yan Zheng Chin-Chia Michael Yeh Shubham Jain Wei Zhang FAtt 89 14 0 19 Jan 2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets Jun Yuan Brian Barr Kyle Overton E. Bertini 50 11 0 19 Jan 2022
Socioeconomic disparities and COVID-19: the causal connections Tannista Banerjee Ayan Paul Vishak Srikanth Inga Strümke 30 2 0 18 Jan 2022
Do not rug on me: Zero-dimensional Scam Detection Bruno Mazorra Victor Adan Vanesa Daza 55 10 0 16 Jan 2022
Towards Zero-shot Sign Language Recognition Yunus Can Bilge R. G. Cinbis Nazli Ikizler-Cinbis SLR 58 36 0 15 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 88 16 0 11 Jan 2022
Explaining Predictive Uncertainty by Looking Back at Model Explanations Hanjie Chen Wanyu Du Yangfeng Ji 127 2 0 11 Jan 2022
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study Yilin Ning Siqi Li M. Ong F. Xie Bibhas Chakraborty Daniel Ting Nan Liu FAtt 60 23 0 10 Jan 2022
Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy C. Lange J. Lange 32 1 0 07 Jan 2022
Topological Representations of Local Explanations Peter Xenopoulos G. Chan Harish Doraiswamy L. G. Nonato Brian Barr Claudio Silva FAtt 94 4 0 06 Jan 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 58 23 0 05 Jan 2022
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI Erico Tjoa Hong Jing Khok Tushar Chouhan G. Cuntai FAtt 76 4 0 30 Dec 2021
Shallow decision trees for explainable $k$ -means clustering E. Laber Lucas Murtinho F. Oliveira 62 26 0 29 Dec 2021
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 80 21 0 29 Dec 2021
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? I. Ward Ling Wang Juan Lu M. Bennamoun Girish Dwivedi Frank M. Sanfilippo 172 35 0 25 Dec 2021
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 116 74 0 23 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 81 13 0 23 Dec 2021
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box David Dandolo Chiara Masiero Mattia Carletti Davide Dalle Pezze Gian Antonio Susto FAtt LRM 62 23 0 23 Dec 2021
More Than Words: Towards Better Quality Interpretations of Text Classifiers Muhammad Bilal Zafar Philipp Schmidt Michele Donini Cédric Archambeau F. Biessmann Sanjiv Ranjan Das K. Kenthapadi FAtt 115 5 0 23 Dec 2021