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"Why Should I Trust You?": Explaining the Predictions of Any Classifier

16 February 2016

Papers citing ""Why Should I Trust You?": Explaining the Predictions of Any Classifier"

50 / 3,508 papers shown

Title
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales Tang Li Mengmeng Ma Xi Peng 93 2 0 31 Oct 2024
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji Anton Xue Eric Wong O. Sokolsky Insup Lee 66 1 0 31 Oct 2024
Directly Optimizing Explanations for Desired Properties Hiwot Belay Tadesse Alihan Hüyük Weiwei Pan Finale Doshi-Velez FAtt 120 0 0 31 Oct 2024
Dynamic Information Sub-Selection for Decision Support Hung-Tien Huang M. Lennon Shreyas Bhat Brahmavar Sean Sylvia Junier B. Oliva 58 0 0 30 Oct 2024
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models Aymene Mohammed Bouayed Samuel Deslauriers-Gauthier Adrian Iaccovelli D. Naccache 69 0 0 30 Oct 2024
Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity Ahmed M Salih CML 29 0 0 30 Oct 2024
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness Christos Fragkathoulas Vasiliki Papanikou E. Pitoura Evimaria Terzi 54 0 0 29 Oct 2024
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers Rakesh R Menon Shashank Srivastava 41 2 0 29 Oct 2024
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act Barbara Hoffmann Jana Vatter R. Mayer 63 0 0 29 Oct 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 198 1 0 29 Oct 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 84 1 0 28 Oct 2024
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models Tuwe Löfström Fatima Rabia Yapicioglu Alessandra Stramiglio Helena Lofstrom Fabio Vitali FAtt LRM 69 0 0 28 Oct 2024
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications Alain Andres Aitor Martinez-Seras I. Laña Javier Del Ser AAML 54 2 0 28 Oct 2024
Explainability in AI Based Applications: A Framework for Comparing Different Techniques Arne Grobrugge Nidhi Mishra Johannes Jakubik G. Satzger 132 2 0 28 Oct 2024
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms He Yu Qingbin Liu 85 3 0 28 Oct 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation Peiyu Li O. Bahri Pouya Hosseinzadeh S. F. Boubrahimi S. M. Hamdi CML LRM 109 1 0 27 Oct 2024
Improving Decision Sparsity Yiyang Sun Tong Wang Cynthia Rudin 416 1 0 27 Oct 2024
Causal Abstraction in Model Interpretability: A Compact Survey Yihao Zhang 72 0 0 26 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance Emma Casolin Flora D. Salim Ben Newell 72 1 0 26 Oct 2024
Peter Parker or Spiderman? Disambiguating Multiple Class Labels Nuthan Mummani Simran Ketha Venkatakrishnan Ramaswamy 43 0 0 25 Oct 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 46 1 0 25 Oct 2024
Interpreting Neural Networks through Mahalanobis Distance Alan Oursland FAtt MILM 15 1 0 25 Oct 2024
Inherently Interpretable Tree Ensemble Learning Zebin Yang Agus Sudjianto Xiaoming Li Aijun Zhang AI4CE 61 0 0 24 Oct 2024
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification Andrew Pangia Agus Sudjianto Aijun Zhang Taufiquar Khan FaML 54 1 0 24 Oct 2024
Explainable News Summarization -- Analysis and mitigation of Disagreement Problem Seema Aswani Sujala D. Shetty 58 0 0 24 Oct 2024
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts Laines Schmalwasser J. Gawlikowski Joachim Denzler Julia Niebling 52 2 0 23 Oct 2024
An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems Shruthi Chari 63 0 0 23 Oct 2024
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences Anushka Narayanan Karianne J. Bergen 110 1 0 22 Oct 2024
Safe Load Balancing in Software-Defined-Networking L. Dinh Pham Tran Anh Quang Jérémie Leguay 42 0 0 22 Oct 2024
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding John M. Willis AAML 57 0 0 21 Oct 2024
Hotel Booking Cancellation Prediction Using Applied Bayesian Models Md Asifuzzaman Jishan Vikas Singh Ayan Kumar Ghosh Md Shahabub Alam Khan Raqib Mahmud Bijan Paul 26 2 0 21 Oct 2024
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection Chandravardhan Singh Raghaw Parth Shirish Bhore Mohammad Zia Ur Rehman Nagendra Kumar ViT MedIm 95 6 0 21 Oct 2024
User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study Szymon Bobek Paloma Korycińska Monika Krakowska Maciej Mozolewski Dorota Rak Magdalena Zych Magdalena Wójcik Grzegorz J. Nalepa ELM 57 1 0 21 Oct 2024
S-CFE: Simple Counterfactual Explanations Shpresim Sadiku Moritz Wagner Sai Ganesh Nagarajan Sebastian Pokutta 120 1 0 21 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 96 0 0 21 Oct 2024
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations Seyed Mohammad Ahmadi Koorosh Aslansefat Ruben Valcarce-Dineiro Joshua Barnfather 70 2 0 20 Oct 2024
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability Nazanin Nezami Hadis Anahideh 52 0 0 18 Oct 2024
Interpreting Microbiome Relative Abundance Data Using Symbolic Regression Swagatam Haldar Christoph Stein-Thoeringer Vadim Borisov 27 0 0 18 Oct 2024
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting Taha Aksu Chenghao Liu Amrita Saha Sarah Tan Caiming Xiong Doyen Sahoo AI4TS 52 2 0 18 Oct 2024
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes Dibyanayan Bandyopadhyay Mohammed Hasanuzzaman Asif Ekbal AAML 50 1 0 17 Oct 2024
A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification Yingtao Ren Yu-Cheng Chang T. Do Zehong Cao Chin-Teng Lin 50 0 0 17 Oct 2024
CohEx: A Generalized Framework for Cohort Explanation Fanyu Meng Xin Liu Z. Kong Xin Chen 36 1 0 17 Oct 2024
PromptExp: Multi-granularity Prompt Explanation of Large Language Models Ximing Dong Shaowei Wang Dayi Lin Gopi Krishnan Rajbahadur Boquan Zhou Shichao Liu Ahmed E. Hassan AAML LRM 69 1 0 16 Oct 2024
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Nazanin Fouladgar Marjan Alirezaie Kary Främling AI4TS FAtt 41 0 0 16 Oct 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 64 1 0 16 Oct 2024
ConLUX: Concept-Based Local Unified Explanations Junhao Liu Haonan Yu Xin Zhang FAtt LRM 62 1 0 16 Oct 2024
Revealing the Barriers of Language Agents in Planning Jian Xie Kexun Zhang Jiangjie Chen Siyu Yuan Kai Zhang Yikai Zhang Lei Li Yanghua Xiao LM&Ro AIFin LRM 104 12 0 16 Oct 2024
Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning Yuze Jiang Beijun Shen Xiaodong Gu VLM 43 1 0 15 Oct 2024
Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers Lorenzo Pacchiardi Marko Tesic Lucy G. Cheke José Hernández-Orallo 81 3 0 15 Oct 2024
Conditional Density Estimation with Histogram Trees Lincen Yang Matthijs van Leeuwen 51 0 0 15 Oct 2024