v1v2 (latest)

A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

50 / 3,916 papers shown

Title
Consensus of state of the art mortality prediction models: From all-cause mortality to sudden death prediction Yola Jones Fani Deligianni Jeffrey Stephen Dalton P. Pellicori John G. F. Cleland OOD 65 0 0 30 Aug 2023
Glocal Explanations of Expected Goal Models in Soccer Mustafa Cavus Adrian Stando P. Biecek 77 4 0 29 Aug 2023
Evaluating Explanation Methods for Multivariate Time Series Classification D. Serramazza Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim FAtt AI4TS 53 2 0 29 Aug 2023
Probabilistic Dataset Reconstruction from Interpretable Models Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala 58 5 0 29 Aug 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 79 2 0 28 Aug 2023
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers Jun Yuan Kaustav Bhattacharjee A. Islam Aritra Dasgupta 58 3 0 28 Aug 2023
Deep graphical regression for jointly moderate and extreme Australian wildfires Daniela Cisneros J. Richards Ashok Dahal Luigi Lombardo Raphael Huser 272 21 0 28 Aug 2023
Goodhart's Law Applies to NLP's Explanation Benchmarks Jennifer Hsia Danish Pruthi Aarti Singh Zachary Chase Lipton 79 6 0 28 Aug 2023
Assessing cognitive function among older adults using machine learning and wearable device data: a feasibility study Collin Sakal Tingyou Li Juan Li Xinyue Li 24 0 0 28 Aug 2023
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation Mohammad Karimzadeh Aleksandar Vakanski Min Xian Boyu Zhang 51 5 0 27 Aug 2023
Large Language Models Streamline Automated Machine Learning for Clinical Studies Soroosh Tayebi Arasteh T. Han Mahshad Lotfinia Christiane Kuhl Jakob Nikolas Kather Daniel Truhn S. Nebelung ELM LM&MA AI4MH 57 60 0 27 Aug 2023
i-Align: an interpretable knowledge graph alignment model Bayu Distiawan Trisedya Flora D. Salim Jeffrey Chan Damiano Spina Falk Scholer Mark Sanderson 88 8 0 26 Aug 2023
LR-XFL: Logical Reasoning-based Explainable Federated Learning Yanci Zhang Hanyou Yu LRM 68 7 0 24 Aug 2023
Uncertainty and Explainable Analysis of Machine Learning Model for Reconstruction of Sonic Slowness Logs Hua Wang Yuqiong Wu Yushun Zhang F. Lai Zhou Feng Bing Xie Ailin Zhao 32 4 0 24 Aug 2023
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions Kwan Ho Ryan Chan Aditya Chattopadhyay B. Haeffele René Vidal 57 0 0 24 Aug 2023
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach Neha Gianchandani Mahsa Dibaji M. Bento Ethan MacDonald Roberto Souza FAtt MedIm 77 0 0 23 Aug 2023
Approximating Score-based Explanation Techniques Using Conformal Regression Amr Alkhatib Henrik Bostrom Sofiane Ennadir Ulf Johansson FAtt 49 4 0 23 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 83 6 0 22 Aug 2023
On the Interpretability of Quantum Neural Networks Lirande Pira C. Ferrie FAtt 64 18 0 22 Aug 2023
Fairness Explainability using Optimal Transport with Applications in Image Classification Philipp Ratz Franccois Hu Arthur Charpentier 80 0 0 22 Aug 2023
Debiasing Counterfactuals In the Presence of Spurious Correlations Amar Kumar Nima Fathi Raghav Mehta Brennan Nichyporuk Jean-Pierre Falet Sotirios A. Tsaftaris Tal Arbel CML MedIm 58 5 0 21 Aug 2023
A Modular and Adaptive System for Business Email Compromise Detection J. Brabec F. Srajer Radek Starosta Tomás Sixta Marc Dupont ... Jirí Mensík Florian Becker Jakub Boros Tomás Pop Pavel Novák 58 0 0 21 Aug 2023
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery Pongpisit Thanasutives Takashi Morita M. Numao Ken-ichi Fukui 85 2 0 20 Aug 2023
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield D. Wolf Markus Ulrich Nikhil Kapoor 67 3 0 19 Aug 2023
To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks Rajan Sahu Shivam Chadha N. Nagaraj A. Mathur Snehanshu Saha 92 0 0 19 Aug 2023
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection Benjamin C. Warner Ziqi Xu S. Haroutounian Thomas Kannampallil Chenyang Lu 87 2 0 19 Aug 2023
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection Kunpeng Zhang Xiaogang Zhu Xiao Xi Min Xue Chao Zhang Sheng Wen 111 4 0 18 Aug 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods Yawei Li Yanglin Zhang Kenji Kawaguchi Ashkan Khakzar Bernd Bischl Mina Rezaei FAtt XAI 94 0 0 17 Aug 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 102 5 0 17 Aug 2023
Explainable AI for tool wear prediction in turning Saleh Valizadeh Sotubadi R. Liu Vinh Neguyen 48 4 0 17 Aug 2023
A Framework for Designing Fair Ubiquitous Computing Systems Han Zhang Leijie Wang Yilun Sheng Xuhai Xu Jennifer Mankoff A. Dey 89 9 0 17 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 74 3 0 16 Aug 2023
Explainable Multi-View Deep Networks Methodology for Experimental Physics Nadav Schneider Muriel Tzdaka G. Sturm Guy Lazovski G. Bar G. Oren R. Gvishi Gal Oren 61 0 0 16 Aug 2023
Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT S. Lakhanpal Ajay Gupta R. Agrawal 69 1 0 16 Aug 2023
BSED: Baseline Shapley-Based Explainable Detector Michihiro Kuroki T. Yamasaki FAtt AAML 49 4 0 14 Aug 2023
Neural Authorship Attribution: Stylometric Analysis on Large Language Models Tharindu Kumarage Huan Liu DeLMO 83 9 0 14 Aug 2023
Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI Clément Poiret Antoine Grigis Justin Thomas M. Noulhiane FAtt 70 1 0 14 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 163 57 0 14 Aug 2023
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II Mathias Kraus Stefan Feuerriegel M. Saar-Tsechansky 57 13 0 14 Aug 2023
Insurance pricing on price comparison websites via reinforcement learning Tanut Treetanthiploet Yufei Zhang Lukasz Szpruch Isaac Bowers-Barnard Henrietta Ridley James Hickey C. Pearce OffRL 56 2 0 14 Aug 2023
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading Evan Crothers H. Viktor Nathalie Japkowicz AAML 68 1 0 13 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 74 11 0 10 Aug 2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis Yiling He Jian Lou Zhan Qin Kui Ren FAtt AAML 70 10 0 10 Aug 2023
Decoding Layer Saliency in Language Transformers Elizabeth M. Hou Greg Castañón MILM 67 0 0 09 Aug 2023
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution T. Idé Naoki Abe 67 6 0 09 Aug 2023
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making Min Hun Lee Chong Jun Chew 88 34 0 08 Aug 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 75 5 0 07 Aug 2023
Feature Importance versus Feature Influence and What It Signifies for Explainable AI Kary Främling TDI FAtt 26 7 0 07 Aug 2023
Applied metamodelling for ATM performance simulations Christoffer Riis Francisco Antunes Tatjana Bolić G. Gurtner A. Cook Carlos Lima Azevedo Francisco Câmara Pereira 17 0 0 07 Aug 2023
Towards Machine Learning-based Fish Stock Assessment Stefan Lüdtke M. Pierce 14 1 0 07 Aug 2023