"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
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations Yiyou Sun Y. Gai Lijie Chen Abhilasha Ravichander Yejin Choi D. Song HILM 98 1 0 17 Apr 2025
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition Jongseo Lee Wooil Lee Gyeong-Moon Park Seong Tae Kim Jinwoo Choi 120 0 0 17 Apr 2025
Towards Spatially-Aware and Optimally Faithful Concept-Based Explanations Shubham Kumar Dwip Dalal Narendra Ahuja 69 0 0 15 Apr 2025
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals Asiful Arefeen Saman Khamesian Maria Adela Grando Bithika Thompson Hassan Ghasemzadeh 76 0 0 14 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 228 1 0 14 Apr 2025
Challenges in interpretability of additive models Xinyu Zhang Julien Martinelli S. T. John AAML AI4CE 110 1 0 14 Apr 2025
Explainable Artificial Intelligence techniques for interpretation of food datasets: a review Leonardo Arrighi Ingrid Alves de Moraes Marco Zullich Michele Simonato Douglas Fernandes Barbin Sylvio Barbon Junior 69 0 0 12 Apr 2025
Explainability and Continual Learning meet Federated Learning at the Network Edge Thomas Tsouparopoulos Iordanis Koutsopoulos FedML 67 0 0 11 Apr 2025
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks Anton Thielmann Arik Reuter Benjamin Saefken LMTD 160 0 0 11 Apr 2025
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations Zhen Tan Song Wang Yifan Li Yu Kong Jundong Li Tianlong Chen Huan Liu FAtt 77 0 0 11 Apr 2025
A constraints-based approach to fully interpretable neural networks for detecting learner behaviors Juan D. Pinto Luc Paquette 93 0 0 10 Apr 2025
ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer Natalia Sikora Robert L. Manschke Alethea M. Tang Peter Dunstan Dean A. Harris Su Yang 56 0 0 09 Apr 2025
Beware of "Explanations" of AI David Martens Galit Shmueli Theodoros Evgeniou Kevin Bauer Christian Janiesch ... Claudia Perlich Wouter Verbeke Alona Zharova Patrick Zschech F. Provost 98 1 0 09 Apr 2025
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression Luigi Rovito Marco Virgolin 77 0 0 08 Apr 2025
Model-Agnostic Policy Explanations with Large Language Models Zhang Xi-Jia Yue (Sophie) Guo Shufei Chen Simon Stepputtis Matthew C. Gombolay Katia Sycara Joseph Campbell LM&Ro LRM 96 0 0 08 Apr 2025
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift Maja J. Hjuler Line H. Clemmensen Sneha Das FAtt 113 1 0 07 Apr 2025
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation Tianyi Ren Juampablo Heras Rivera Hitender Oswal Yutong Pan Agamdeep Chopra Jacob Ruzevick Mehmet Kurt 62 0 0 06 Apr 2025
A Comparative Study of Explainable AI Methods: Model-Agnostic vs. Model-Specific Approaches Keerthi Devireddy 46 0 0 05 Apr 2025
Loss Functions in Deep Learning: A Comprehensive Review Omar Elharrouss Yasir Mahmood Yassine Bechqito Mohamed Adel Serhani E. Badidi Jamal Riffi Hamid Tairi 113 0 0 05 Apr 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives Xiaokun Liu Sayedmohammadreza Rastegari Yijun Huang Sxe Chang Cheong Weikang Liu ... Sina Tabakhi Xianyuan Liu Zheqing Zhu Wei Sang Haiping Lu 67 1 0 04 Apr 2025
Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection Yasmine Mustafa Mohamed Elmahallawy Tie-Mei Luo FAtt 119 0 0 04 Apr 2025
Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning Bouarfa Mahi Quantiota 82 0 0 04 Apr 2025
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning Jakub Kacper Szelag Ji-Jian Chin Lauren Ansell Sook-Chin Yip 71 0 0 03 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 127 0 0 03 Apr 2025
Noiser: Bounded Input Perturbations for Attributing Large Language Models Mohammad Reza Ghasemi Madani Aryo Pradipta Gema Gabriele Sarti Yu Zhao Pasquale Minervini Andrea Passerini AAML 117 1 0 03 Apr 2025
Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis Md. Zahid Hossain M. Islam Most. Sharmin Sultana Samu MedIm 79 0 0 03 Apr 2025
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 172 2 0 03 Apr 2025
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction Jay Lee Hanqi Su Dai-Yan Ji Takanobu Minami AI4CE 105 0 0 03 Apr 2025
Fourier Feature Attribution: A New Efficiency Attribution Method Zechen Liu Feiyang Zhang Wei Song Xuelong Li Wei Wei FAtt 117 0 0 02 Apr 2025
Rethinking industrial artificial intelligence: a unified foundation framework Jay Lee Hanqi Su AI4CE 92 1 0 02 Apr 2025
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP Jiztom Kavalakkatt Francis Matthew J. Darr 82 0 0 02 Apr 2025
CFIRE: A General Method for Combining Local Explanations Sebastian Müller Vanessa Toborek Tamás Horváth Christian Bauckhage FAtt 82 0 0 01 Apr 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods Danial Hooshyar Eve Kikas Yeongwook Yang Gustav Šír Raija Hamalainen T. Karkkainen Roger Azevedo 110 1 0 01 Apr 2025
Explainable post-training bias mitigation with distribution-based fairness metrics Ryan Franks A. Miroshnikov 62 0 0 01 Apr 2025
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality Jorge de Heuvel Sebastian Müller Marlene Wessels Aftab Akhtar Christian Bauckhage Maren Bennewitz 73 0 0 01 Apr 2025
LLMs for Explainable AI: A Comprehensive Survey Ahsan Bilal David Ebert Beiyu Lin 141 6 0 31 Mar 2025
What the F*ck Is Artificial General Intelligence? Michael Timothy Bennett AI4CE 80 0 0 31 Mar 2025
Which LIME should I trust? Concepts, Challenges, and Solutions Patrick Knab Sascha Marton Udo Schlegel Christian Bartelt FAtt 109 1 0 31 Mar 2025
Improving the Context Length and Efficiency of Code Retrieval for Tracing Security Vulnerability Fixes Xueqing Liu Jiangrui Zheng Guanqun Yang Siyan Wen Qiushi Liu Xiaoyin Wang 92 0 0 29 Mar 2025
How to safely discard features based on aggregate SHAP values Robi Bhattacharjee Karolin Frohnapfel U. V. Luxburg TDI FAtt 106 0 0 29 Mar 2025
Pairwise Matching of Intermediate Representations for Fine-grained Explainability Lauren Shrack T. Haucke Antoine Salaün Arjun Subramonian Sara Beery 87 0 0 28 Mar 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs Ugochukwu Ejike Akpudo Yongsheng Gao J. Zhou Andrew Lewis 102 0 0 26 Mar 2025
Diffusion Counterfactuals for Image Regressors Trung Duc Ha Sidney Bender DiffM 119 0 0 26 Mar 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 95 0 0 25 Mar 2025
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism Yubo Li Xinyu Yao R. Padman FAtt AI4TS 81 0 0 25 Mar 2025
Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models Bowei Tian Xuntao Lyu Meng Liu Hongyi Wang Ang Li 70 0 0 25 Mar 2025
SemEval-2025 Task 9: The Food Hazard Detection Challenge Korbinian Randl John Pavlopoulos Aron Henriksson Tony Lindgren Juli Bakagianni 73 2 0 25 Mar 2025
Guidelines For The Choice Of The Baseline in XAI Attribution Methods Cristian Morasso Giorgio Dolci I. Galazzo Sergey M. Plis Gloria Menegaz 103 0 0 25 Mar 2025
FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments Sree Bhargavi Balija FedML 68 0 0 25 Mar 2025
Self-Explaining Neural Networks for Business Process Monitoring Shahaf Bassan Shlomit Gur Sergey Zeltyn Konstantinos Mavrogiorgos Ron Eliav Dimosthenis Kyriazis 96 0 0 23 Mar 2025