A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

50 / 1,823 papers shown

Title
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations Szymon Bobek Grzegorz J. Nalepa 29 0 0 23 Oct 2023
Context-Aware Prediction of User Engagement on Online Social Platforms Heinrich Peters Yozen Liu Francesco Barbieri Raiyan Abdul Baten S. C. Matz Maarten W. Bos 53 2 0 23 Oct 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization Mohammad Reza Ghasemi Madani Pasquale Minervini 50 4 0 22 Oct 2023
COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News Dylan Warman Muhammad Ashad Kabir 36 1 0 21 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 53 3 0 20 Oct 2023
Explainable Depression Symptom Detection in Social Media Eliseo Bao Souto Anxo Perez Javier Parapar 49 7 0 20 Oct 2023
"Living Within Four Walls": Exploring Emotional and Social Dynamics in Mobile Usage During Home Confinement Nan Gao Samuel C. Nolan Kaixin Ji Shakila Khan Rumi Judith S. Heinisch Christoph Anderson Klaus David Flora D. Salim 86 0 0 20 Oct 2023
Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability Patrick Rehill Nicholas Biddle CML ELM 52 3 0 20 Oct 2023
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach Danny Wood Theodore Papamarkou Matt Benatan Richard Allmendinger FAtt UD 50 3 0 19 Oct 2023
Generating collective counterfactual explanations in score-based classification via mathematical optimization E. Carrizosa Jasone Ramírez-Ayerbe Dolores Romero Morales 59 20 0 19 Oct 2023
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models Sami U Hamdan Shammi More Leonard Sasse Vera Komeyer K. Patil F. Raimondo 13 8 0 19 Oct 2023
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers Yuya Yoshikawa Tomoharu Iwata 42 0 0 19 Oct 2023
American Option Pricing using Self-Attention GRU and Shapley Value Interpretation Yanhui Shen 48 0 0 19 Oct 2023
MMD-based Variable Importance for Distributional Random Forest Clément Bénard Jeffrey Näf Julie Josse 49 0 0 18 Oct 2023
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection Kahraman Kostas Mike Just M. Lones 40 6 0 17 Oct 2023
Improving Operator Situation Awareness when Working with AI Recommender Systems Divya K. Srivastava J. Lilly Karen Feigh 11 1 0 17 Oct 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations Shiyuan Huang Siddarth Mamidanna Shreedhar Jangam Yilun Zhou Leilani H. Gilpin LRM MILM ELM 75 70 0 17 Oct 2023
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation S. Nigam Aniket Deroy Noel Shallum Ayush Kumar Mishra Anup Roy Shubham Kumar Mishra Arnab Bhattacharya Saptarshi Ghosh Kripabandhu Ghosh AILaw ELM 41 11 0 17 Oct 2023
Interpreting and Controlling Vision Foundation Models via Text Explanations Haozhe Chen Junfeng Yang Carl Vondrick Chengzhi Mao 46 2 0 16 Oct 2023
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis Domokos M. Kelen Mihaly Petreczky Péter Kersch András A. Benczúr FAtt 57 3 0 15 Oct 2023
"Reading Between the Heat": Co-Teaching Body Thermal Signatures for Non-intrusive Stress Detection Yi Xiao Harshit Sharma Zhongyang Zhang D. Bergen-Cico Tauhidur Rahman Asif Salekin 38 2 0 15 Oct 2023
Explaining How a Neural Network Play the Go Game and Let People Learn Huilin Zhou Huijie Tang Mingjie Li Hao Zhang Zhenyu Liu Quanshi Zhang 63 6 0 15 Oct 2023
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology Naofumi Hama 67 0 0 15 Oct 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization Ana Kostovska Gjorgjina Cenikj Diederick Vermetten Anja Jankovic Ana Nikolikj Urban Škvorc Peter Korošec Carola Doerr T. Eftimov 55 1 0 14 Oct 2023
Scene Text Recognition Models Explainability Using Local Features M. Ty Rowel Atienza 54 1 0 14 Oct 2023
Identifying and examining machine learning biases on Adult dataset Sahil Girhepuje FaML 21 2 0 13 Oct 2023
Exploring the relationship between response time sequence in scale answering process and severity of insomnia: a machine learning approach Zhao Su Rongxun Liu Keyin Zhou Xinru Wei Ning Wang ... Yuanchen Xie Jie Wang Fei Wang Shenzhong Zhang Xizhe Zhang 46 2 0 13 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 58 4 0 12 Oct 2023
Interpretable Diffusion via Information Decomposition Xianghao Kong Ollie Liu Han Li Dani Yogatama Greg Ver Steeg 38 22 0 12 Oct 2023
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning J. Deuschel Caleb N. Ellington Yingtao Luo Benjamin J. Lengerich Pascal Friederich Eric Xing OffRL 83 5 0 11 Oct 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research Thomas Decker Ralf Gross Alexander Koebler Michael Lebacher Ronald Schnitzer Stefan H. Weber 53 2 0 11 Oct 2023
Measuring Feature Sparsity in Language Models Mingyang Deng Lucas Tao Joe Benton 24 1 0 11 Oct 2023
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff Lindsay M. Sanneman Mycal Tucker Julie A. Shah 68 2 0 11 Oct 2023
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM I. Livieris Emmanuel G. Pintelas Niki Kiriakidou P. Pintelas FAtt 29 15 0 11 Oct 2023
Stabilizing Estimates of Shapley Values with Control Variates Jeremy Goldwasser Giles Hooker FAtt 58 5 0 11 Oct 2023
What can knowledge graph alignment gain with Neuro-Symbolic learning approaches? P. Cotovio Ernesto Jiménez-Ruiz Catia Pesquita 47 1 0 11 Oct 2023
Comparing Styles across Languages: A Cross-Cultural Exploration of Politeness Shreya Havaldar Matthew Pressimone Eric Wong Lyle Ungar 71 1 0 11 Oct 2023
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication Liangqi Yuan Dong-Jun Han Vishnu Pandi Chellapandi Stanislaw H. .Zak Christopher G. Brinton 77 11 0 10 Oct 2023
Latent Diffusion Counterfactual Explanations Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 70 13 0 10 Oct 2023
Hoeffding decomposition of black-box models with dependent inputs Marouane Il Idrissi Nicolas Bousquet Edf RD Prisme Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 18 0 0 10 Oct 2023
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments Yang Zhang Yawei Li Hannah Brown Mina Rezaei Bernd Bischl Philip Torr Ashkan Khakzar Kenji Kawaguchi OOD 60 1 0 10 Oct 2023
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements Michael Feffer Nikolas Martelaro Hoda Heidari 53 16 0 10 Oct 2023
Interpreting CLIP's Image Representation via Text-Based Decomposition Yossi Gandelsman Alexei A. Efros Jacob Steinhardt VLM 34 91 0 09 Oct 2023
Post-hoc Bias Scoring Is Optimal For Fair Classification Wenlong Chen Yegor Klochkov Yang Liu FaML 49 6 0 09 Oct 2023
Climate-sensitive Urban Planning through Optimization of Tree Placements Simon Schrodi Ferdinand Briegel Max Argus Andreas Christen Thomas Brox AI4CE 74 0 0 09 Oct 2023
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models Marco Bronzini Carlo Nicolini Bruno Lepri Andrea Passerini Jacopo Staiano 40 10 0 09 Oct 2023
Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods Jonathan Kamp Lisa Beinborn Antske Fokkens FAtt 53 1 0 09 Oct 2023
Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry Ci-Jyun Liang Thai-Hoa Le Youngjib Ham Bharadwaj R. K. Mantha Marvin H. Cheng Jacob J. Lin 63 33 0 09 Oct 2023
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna -- "The New Electricity": Applications, Risks, and Trends in Current AI A. Bazzan Anderson R. Tavares André G. Pereira C. R. Jung Jacob Scharcanski J. Carbonera Luís C. Lamb Mariana Recamonde Mendoza T. L. T. D. Silveira V. P. Moreira 47 0 0 08 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan O. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 45 126 0 08 Oct 2023