"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 / 4,307 papers shown

Title
Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices Xinru Wang Mengjie Yu Hannah Nguyen Michael Iuzzolino Tianyi Wang ... Ting Zhang Naveen Sendhilnathan Hrvoje Benko Haijun Xia Tanya R. Jonker 58 0 0 26 Feb 2025
Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP Chenyang Zhao Kun Wang J. H. Hsiao Antoni B. Chan CLIP 73 0 0 26 Feb 2025
Models That Are Interpretable But Not Transparent Chudi Zhong Panyu Chen Cynthia Rudin AAML 66 0 0 26 Feb 2025
A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP Yan Zhang Lin Chen Yixiang Tian FAtt 67 0 0 26 Feb 2025
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes Michele Fiori Davide Mor Gabriele Civitarese Claudio Bettini 49 0 0 25 Feb 2025
Can LLMs Explain Themselves Counterfactually? Zahra Dehghanighobadi Asja Fischer Muhammad Bilal Zafar LRM 47 0 0 25 Feb 2025
Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database Shuheng Chen Junyi Fan Elham Pishgar Kamiar Alaei G. Placencia Maryam Pishgar 63 1 0 25 Feb 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 67 0 0 24 Feb 2025
Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems Hannah Musau Nana Kankam Gyimah Judith Mwakalonge G. Comert Saidi Siuhi 50 0 0 23 Feb 2025
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations Laurin Lux Alexander H. Berger Maria Romeo Tricas Alaa E. Fayed Shri Kiran Srinivasan Linus Kreitner Jonas Weidner M. Menten Daniel Rueckert Johannes C. Paetzold 51 2 0 23 Feb 2025
Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models Ranjan Sapkota Shaina Raza Manoj Karkee 50 4 0 21 Feb 2025
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems Ayush Kumar V. Thing 65 0 0 21 Feb 2025
Detecting Linguistic Bias in Government Documents Using Large language Models Milena de Swart Floris den Hengst Jieying Chen 66 0 0 20 Feb 2025
SPEX: Scaling Feature Interaction Explanations for LLMs J. S. Kang Landon Butler Abhineet Agarwal Yigit Efe Erginbas Ramtin Pedarsani Kannan Ramchandran Bin Yu VLM LRM 77 0 0 20 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation Yuhan Li Xinni Zhang Linhao Luo Heng Chang Yuxiang Ren Irwin King Jiyang Li 65 4 0 18 Feb 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 50 0 0 18 Feb 2025
ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability Ryuto Koike Masahiro Kaneko Ayana Niwa Preslav Nakov Naoaki Okazaki DeLMO 73 0 0 17 Feb 2025
ExplainReduce: Summarising local explanations via proxies Lauri Seppäläinen Mudong Guo Kai Puolamäki FAtt 52 0 0 17 Feb 2025
Suboptimal Shapley Value Explanations Xiaolei Lu FAtt 67 0 0 17 Feb 2025
Time-series attribution maps with regularized contrastive learning Steffen Schneider Rodrigo González Laiz Anastasiia Filippova Markus Frey Mackenzie W. Mathis BDL FAtt CML AI4TS 83 0 0 17 Feb 2025
The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study Yui Lo Yuqian Chen Dongnan Liu Wan Liu L. Zekelman ... Yogesh Rathi N. Makris A. Golby Weidong Cai L. O’Donnell 51 3 0 17 Feb 2025
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis Zhuoyan Li Hangxiao Zhu Zhuoran Lu Ziang Xiao Ming Yin 57 1 0 17 Feb 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 160 0 0 17 Feb 2025
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions Sujan Sai Gannamaneni Rohil Prakash Rao Michael Mock Maram Akila Stefan Wrobel AAML 222 0 0 17 Feb 2025
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions Ming Shan Hee Roy Ka-wei Lee VLM 92 0 0 16 Feb 2025
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Zhiyu Zhu Zhibo Jin Jiayu Zhang Nan Yang Jiahao Huang Jianlong Zhou Fang Chen 46 0 0 16 Feb 2025
Accelerating Anchors via Specialization and Feature Transformation Haonan Yu Junhao Liu Xin Zhang 49 1 0 16 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 81 2 0 14 Feb 2025
MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing Vlad-Andrei Negru Robert Vacareanu Camelia Lemnaru Mihai Surdeanu Rodica Potolea 99 0 0 13 Feb 2025
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking Greta Warren Irina Shklovski Isabelle Augenstein OffRL 83 4 0 13 Feb 2025
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Sonali Parbhoo Jesse Read FAtt XAI 108 0 0 11 Feb 2025
SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Saurabh Kumar Pandey S. Vashistha Debrup Das Somak Aditya Monojit Choudhury AAML 76 0 0 10 Feb 2025
Comprehensive Framework for Evaluating Conversational AI Chatbots Shailja Gupta Rajesh Ranjan Surya Narayan Singh 46 0 0 10 Feb 2025
DCENWCNet: A Deep CNN Ensemble Network for White Blood Cell Classification with LIME-Based Explainability Sibasish Dhibar 79 0 0 08 Feb 2025
Coherent Local Explanations for Mathematical Optimization Daan Otto Jannis Kurtz S. Ilker Birbil 61 0 0 07 Feb 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Chhavi Yadav Evan Monroe Laufer Dan Boneh Kamalika Chaudhuri 96 0 0 06 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models Amy Rafferty Rishi Ramaesh Ajitha Rajan MedIm AAML 63 0 0 04 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 47 0 0 03 Feb 2025
Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis Arpit Narechania Alex Endert Atanu R. Sinha 50 0 0 02 Feb 2025
INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation Dianwei Chen Zifan Zhang Yuchen Liu Xianfeng Terry Yang VLM 77 3 0 01 Feb 2025
Sparse Autoencoder Insights on Voice Embeddings Daniel Pluth Yu Zhou Vijay K. Gurbani 45 0 0 31 Jan 2025
Fake News Detection After LLM Laundering: Measurement and Explanation Rupak Kumar Das Jonathan Dodge 103 0 0 29 Jan 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant Gaole He Nilay Aishwarya U. Gadiraju 48 6 0 29 Jan 2025
Extending Information Bottleneck Attribution to Video Sequences Veronika Solopova Lucas Schmidt Dorothea Kolossa 47 0 0 28 Jan 2025
Explaining Decisions of Agents in Mixed-Motive Games Maayan Orner Oleg Maksimov Akiva Kleinerman Charles Ortiz Sarit Kraus 101 1 0 28 Jan 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Zhanyue Qin Kui Ren 227 0 0 28 Jan 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics Kai He Rui Mao Qika Lin Yucheng Ruan Xiang Lan Mengling Feng Min Zhang LM&MA AILaw 107 157 0 28 Jan 2025
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models Huayu Li Xiwen Chen C. Zhang S. Quan William D.S. Killgore Shu-Fen Wung Chen X. Chen Geng Yuan Jin Lu Ao Li 40 0 0 28 Jan 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 81 2 0 28 Jan 2025
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models Melkamu Mersha Mesay Gemeda Yigezu Jugal Kalita ELM 62 3 0 26 Jan 2025