Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

21 February 2018

Papers citing "Learning to Explain: An Information-Theoretic Perspective on Model Interpretation"

50 / 302 papers shown

Title
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals Marouane Il Idrissi Agathe Fernandes Machado E. Gallic Arthur Charpentier 7 0 0 19 May 2025
Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models Junhao Liu Haonan Yu Xin Zhang LRM 9 0 0 18 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 38 0 0 09 May 2025
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 64 0 0 07 May 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 105 1 0 13 Mar 2025
Iterative Counterfactual Data Augmentation Mitchell Plyler Min Chi 70 0 0 25 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
Learning to Discover Regulatory Elements for Gene Expression Prediction Xingyu Su Haiyang Yu D. Zhi Shuiwang Ji 36 0 0 19 Feb 2025
A Neural Difference-of-Entropies Estimator for Mutual Information Haoran Ni Martin Lotz SSL DRL 91 0 0 18 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 150 0 0 17 Feb 2025
Explanations that reveal all through the definition of encoding A. Puli Nhi Nguyen Rajesh Ranganath FAtt XAI 43 1 0 04 Nov 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 31 0 0 25 Oct 2024
Sufficient and Necessary Explanations (and What Lies in Between) Beepul Bharti P. Yi Jeremias Sulam XAI FAtt 35 1 0 30 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 49 2 0 16 Sep 2024
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective Chenyu Liu Xinliang Zhou Yihao Wu Yi Ding Liming Zhai Kun Wang Ziyu Jia Yang Liu 42 0 0 12 Aug 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 50 3 0 27 Jul 2024
Revisiting Score Function Estimators for $k$ -Subset Sampling Klas Wijk Ricardo Vinuesa Hossein Azizpour TDI 32 1 0 22 Jul 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 35 1 0 16 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
DMTG: One-Shot Differentiable Multi-Task Grouping Yuan Gao Shuguo Jiang Moran Li Jin-Gang Yu Gui-Song Xia 59 2 0 06 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 63 1 0 01 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 48 3 0 26 Jun 2024
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function Keyon Vafa Ashesh Rambachan S. Mullainathan ELM ALM 24 13 0 03 Jun 2024
Partial Information Decomposition for Data Interpretability and Feature Selection Charles Westphal Stephen Hailes Mirco Musolesi 40 0 0 29 May 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 41 1 0 21 May 2024
Interpretability Needs a New Paradigm Andreas Madsen Himabindu Lakkaraju Siva Reddy Sarath Chandar 39 4 0 08 May 2024
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception Vidit Khazanchi Pavan Kulkarni Yuvaraj Govindarajulu Manojkumar Somabhai Parmar AAML 37 0 0 24 Apr 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 42 5 0 17 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? Van Nguyen Xingliang Yuan Tingmin Wu Surya Nepal M. Grobler Carsten Rudolph 45 1 0 09 Apr 2024
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion Tengfei Ma Xiang Song Wen Tao Mufei Li Jiani Zhang Xiaoqin Pan Jianxin Lin Bosheng Song Xiangxiang Zeng 25 2 0 05 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 76 8 0 31 Mar 2024
Indirectly Parameterized Concrete Autoencoders Alfred Nilsson Klas Wijk Sai Bharath Chandra Gutha Erik Englesson A. Hotti Carlo Saccardi Oskar Kviman Jens Lagergren Ricardo Vinuesa Hossein Azizpour 38 1 0 01 Mar 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 43 0 0 28 Feb 2024
An Innovative Information Theory-based Approach to Tackle and Enhance The Transparency in Phishing Detection Van Nguyen Tingmin Wu Xingliang Yuan M. Grobler Surya Nepal Carsten Rudolph AAML 52 0 0 27 Feb 2024
Improving behavior based authentication against adversarial attack using XAI Dong Qin G. Amariucai Daji Qiao Yong Guan AAML 19 1 0 26 Feb 2024
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques Yu Xiong Zhipeng Hu Ye Huang Runze Wu Kai Guan ... Tianze Zhou Yujing Hu Haoyu Liu Tangjie Lyu Changjie Fan OffRL 62 1 0 20 Feb 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 46 2 0 15 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Zou Tatsunori Hashimoto TDI 35 9 0 29 Jan 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
Contextual Feature Selection with Conditional Stochastic Gates Ram Dyuthi Sristi Ofir Lindenbaum Shira Lifshitz Maria Lavzin Jackie Schiller Gal Mishne Hadas Benisty 27 2 0 21 Dec 2023
You Only Explain Once David A. Kelly Hana Chockler Daniel Kroening Nathan Blake Aditi Ramaswamy Melane Navaratnarajah Aaditya Shivakumar 13 2 0 23 Nov 2023
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models Yuxuan Lei Jianxun Lian Jing Yao Xu Huang Defu Lian Xing Xie LRM 35 5 0 18 Nov 2023
An Initialization Schema for Neuronal Networks on Tabular Data Wolfgang Fuhl 21 0 0 07 Nov 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 5 0 30 Oct 2023
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison Yujian Liu Xinliang Frederick Zhang Kaijian Zou Ruihong Huang Nick Beauchamp Lu Wang 32 4 0 28 Oct 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 44 4 0 27 Oct 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) Dong Qin G. Amariucai Daji Qiao Yong Guan Shen Fu 24 5 0 27 Oct 2023
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models Oren Barkan Yuval Asher Amit Eshel Yehonatan Elisha Noam Koenigstein 43 5 0 25 Oct 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Weihong Luo Liang Chen Xiuqiang He Xue Liu 21 2 0 23 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 36 2 0 11 Oct 2023