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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
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation Davor Vukadin Petar Afrić Marin Šilić Goran Delač FAtt 119 2 0 12 Dec 2024
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs Asli Umay Ozturk Recep Firat Cekinel Asli Umay Ozturk 70 1 0 12 Dec 2024
Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition Daniel Geissler Bo Zhou P. Lukowicz HAI 97 2 0 11 Dec 2024
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations Ioannis Sarridis C. Koutlis Symeon Papadopoulos Christos Diou CVBM 144 0 0 10 Dec 2024
Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization Deepshikha Bhati Fnu Neha Md. Amiruzzaman Angela Guercio Deepak Kumar Shukla Ben Ward FAtt 181 0 0 07 Dec 2024
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models Swarnava Sinha Roy Ayan Kundu FAtt 98 0 0 05 Dec 2024
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications M. Islam M. F. Mridha Md Abrar Jahin Nilanjan Dey 79 2 0 05 Dec 2024
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 134 0 0 03 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan Shijie Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 135 21 0 03 Dec 2024
Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study Silvia Lucia Sanna Leonardo Regano Davide Maiorca Giorgio Giacinto 95 0 0 02 Dec 2024
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs Aniket K. Singh Debasis Chaudhuri Manish P. Singh Samiran Chattopadhyay 107 0 0 02 Dec 2024
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability Wen-Dong Jiang Chih-Yung Chang Show-Jane Yen Diptendu Sinha Roy FAtt HAI 251 1 0 02 Dec 2024
Explaining Object Detectors via Collective Contribution of Pixels Toshinori Yamauchi Hiroshi Kera K. Kawamoto ObjD FAtt 105 1 0 01 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 232 0 0 29 Nov 2024
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis Martin Atzmueller Tim Bohne Patricia Windler 137 0 0 28 Nov 2024
Explainable deep learning improves human mental models of self-driving cars Eoin M. Kenny Akshay Dharmavaram Sang Uk Lee Tung Phan-Minh Shreyas Rajesh Yunqing Hu Laura Major Momchil S. Tomov Julie A. Shah 145 0 0 27 Nov 2024
NormXLogit: The Head-on-Top Never Lies Sina Abbasi Mohammad Reza Modarres Mohammad Taher Pilehvar 97 2 0 25 Nov 2024
Transparent Neighborhood Approximation for Text Classifier Explanation Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AAML 109 0 0 25 Nov 2024
Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang Tom Bewley Saumitra Mishra Freddy Lecue Manuela Veloso 145 2 0 25 Nov 2024
Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Data D. Wiechmann E. Kempa E. Kerz Y. Qiao 65 0 0 23 Nov 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 114 0 0 23 Nov 2024
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis Marcel Robeer Michiel Bron Elize Herrewijnen Riwish Hoeseni Floris Bex 154 0 0 22 Nov 2024
BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI Natenaile Asmamaw Shiferaw Simpenzwe Honore Leandre Aman Sinha Dillip Rout 72 0 0 21 Nov 2024
Verifying Machine Unlearning with Explainable AI Àlex Pujol Vidal A. S. Johansen M. N. Jahromi Sergio Escalera Kamal Nasrollahi T. Moeslund MU 89 2 0 20 Nov 2024
ODTE -- An ensemble of multi-class SVM-based oblique decision trees Ricardo Montañana J. A. Gamez J. M. Puerta 124 0 0 20 Nov 2024
Can Highlighting Help GitHub Maintainers Track Security Fixes? Xueqing Liu Yuchen Xiong Qiushi Liu Jiangrui Zheng 101 0 0 18 Nov 2024
Explainable Artificial Intelligence for Medical Applications: A Review Qiyang Sun Alican Akman Björn Schuller 141 9 0 15 Nov 2024
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations Laura O'Mahony Nikola S. Nikolov David JP O'Sullivan 130 0 0 15 Nov 2024
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning M. Y. Jabarulla T. Uden Thomas Jack P. Beerbaum S. Oeltze-jafra 67 1 0 15 Nov 2024
AI-Spectra: A Visual Dashboard for Model Multiplicity to Enhance Informed and Transparent Decision-Making Gilles Eerlings Sebe Vanbrabant Jori Liesenborgs Gustavo Rovelo Ruiz Davy Vanacken Kris Luyten 76 1 0 14 Nov 2024
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Benjamin Kolicic Alberto Caron Chris Hicks V. Mavroudis AI4CE 73 0 0 14 Nov 2024
Learning Model Agnostic Explanations via Constraint Programming F. Koriche Jean-Marie Lagniez Stefan Mengel Chi Tran 63 1 0 13 Nov 2024
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 97 0 0 11 Nov 2024
CineXDrama: Relevance Detection and Sentiment Analysis of Bangla YouTube Comments on Movie-Drama using Transformers: Insights from Interpretability Tool Usafa Akther Rifa Pronay Debnath Busra Kamal Rafa Shamaun Safa Hridi Md. Aminur Rahman 25 0 0 10 Nov 2024
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models Mike Van Ness Billy Block Madeleine Udell 55 1 0 08 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 218 3 0 07 Nov 2024
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers Chenyang Yang Tesi Xiao Michael Shavlovsky Christian Kastner Tongshuang Wu 74 0 0 07 Nov 2024
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 79 2 0 06 Nov 2024
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services Zerui Wang Yan Liu Jun Huang 83 2 0 05 Nov 2024
A Bayesian explanation of machine learning models based on modes and functional ANOVA Quan Long 21 1 0 05 Nov 2024
Explanations that reveal all through the definition of encoding A. Puli Nhi Nguyen Rajesh Ranganath FAtt XAI 81 2 0 04 Nov 2024
Benchmarking XAI Explanations with Human-Aligned Evaluations Rémi Kazmierczak Steve Azzolin Eloise Berthier Anna Hedström Patricia Delhomme ... Goran Frehse Massimiliano Mancini Baptiste Caramiaux Andrea Passerini Gianni Franchi 74 3 0 04 Nov 2024
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning Sichao Li Quanling Deng Amanda S. Barnard 65 0 0 04 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 131 0 0 04 Nov 2024
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis Xinyu Geng Jiaming Wang Jun Xu MedIm 45 0 0 03 Nov 2024
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary Zhuoyan Li Ming Yin 58 3 0 02 Nov 2024
Designing a Robust Radiology Report Generation System Sonit Singh MedIm 63 1 0 02 Nov 2024
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 99 1 0 02 Nov 2024
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems Sruthi Viswanathan Seray Ibrahim Ravi Shankar Reuben Binns Max Van Kleek Petr Slovák 103 1 0 02 Nov 2024
STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Models Zerui Wang Yan Liu 101 1 0 01 Nov 2024