Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation

9 March 2020

Huan Liu

Papers citing "Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation"

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Title
Deep Learning for Time Series Forecasting: A Survey X. Kong Zhenghao Chen Weiyao Liu Kaili Ning Lechao Zhang Syauqie Muhammad Marier Yichen Liu Yuhao Chen Feng Xia AI4TS AI4CE 48 4 0 13 Mar 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 73 15 0 10 Jan 2025
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Chunheng Zhao P. Pisu G. Comert N. Begashaw Varghese Vaidyan Nina Christine Hubig AAML 24 0 0 31 Dec 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 23 0 0 21 Oct 2024
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems E. Osaba Esther Villar-Rodriguez Javier Del Ser Antonio J. Nebro Daniel Molina A. Latorre Ponnuthurai Nagaratnam Suganthan Carlos A. Coello Coello Francisco Herrera 48 256 0 04 Oct 2024
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability Aaron Mueller Jannik Brinkmann Millicent Li Samuel Marks Koyena Pal ... Arnab Sen Sharma Jiuding Sun Eric Todd David Bau Yonatan Belinkov CML 44 18 0 02 Aug 2024
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection Chunjing Xiao Shikang Pang Wenxin Tai Yanlong Huang Goce Trajcevski Fan Zhou 36 2 0 18 Jul 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework Wei Zhou Hong Huang Guowen Zhang Ruize Shi Kehan Yin Yuanyuan Lin Bang Liu CML 50 1 0 07 Jun 2024
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations Davide Coppola Hwee Kuan Lee AAML 47 0 0 31 May 2024
Finding Visual Task Vectors Alberto Hojel Yutong Bai Trevor Darrell Amir Globerson Amir Bar 62 6 0 08 Apr 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 42 1 0 17 Mar 2024
A Survey of Explainable Knowledge Tracing Yanhong Bai Jiabao Zhao Tingjiang Wei Qing Cai Liang He 30 4 0 12 Mar 2024
A Unified Causal View of Instruction Tuning Luyao Chen Wei Huang Ruqing Zhang Wei-Neng Chen J. Guo Xueqi Cheng 28 1 0 09 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 30 5 0 07 Feb 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Mengnan Du XAI 35 8 0 09 Jan 2024
Is Knowledge All Large Language Models Needed for Causal Reasoning? Hengrui Cai Shengjie Liu Rui Song LRM ELM 28 10 0 30 Dec 2023
Causal State Distillation for Explainable Reinforcement Learning Wenhao Lu Xufeng Zhao Thilo Fryen Jae Hee Lee Mengdi Li S. Magg Stefan Wermter CML 41 2 0 30 Dec 2023
Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity with Interpretability Shuli Wang Kun Gao Lanfang Zhang Yang Liu Lei Chen 31 4 0 19 Dec 2023
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph Tianqianjin Lin Kaisong Song Zhuoren Jiang Yangyang Kang Weikang Yuan Xurui Li Changlong Sun Cui Huang Xiaozhong Liu 38 6 0 10 Dec 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 30 6 0 28 Sep 2023
Towards LLM-guided Causal Explainability for Black-box Text Classifiers Amrita Bhattacharjee Raha Moraffah Joshua Garland Huan Liu 21 33 0 23 Sep 2023
Inducing Causal Structure for Abstractive Text Summarization Luyao Chen Ruqing Zhang Wei Huang Wei-Neng Chen J. Guo Xueqi Cheng CML 21 1 0 24 Aug 2023
CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction Zhoujian Sun Wenzhuo Zhang Zhengxing Huang Nai Ding Cheng Luo CML 30 2 0 18 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Ivania Donoso-Guzmán Jeroen Ooge Denis Parra K. Verbert 34 6 0 31 Jul 2023
Counterfactual Explanations for Graph Classification Through the Lenses of Density Carlo Abrate Giulia Preti Francesco Bonchi 16 1 0 27 Jul 2023
Rumor Detection with Diverse Counterfactual Evidence Kaiwei Zhang Junchi Yu Haichao Shi Jian Liang Xiao-Yu Zhang 20 23 0 18 Jul 2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms Qi Liu Zhengze Gong Zhenya Huang Chuanren Liu Hengshu Zhu Zhi Li Enhong Chen Hui Xiong 19 0 0 14 Jul 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 24 1 0 20 Jun 2023
Explainable Predictive Maintenance Sepideh Pashami Sławomir Nowaczyk Yuantao Fan Jakub Jakubowski Nuno Paiva ... Bruno Veloso M. Sayed-Mouchaweh L. Rajaoarisoa Grzegorz J. Nalepa João Gama 32 8 0 08 Jun 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health J. J. Schnur Nitesh V. Chawla 22 5 0 31 May 2023
Visual Knowledge Discovery with General Line Coordinates Lincoln Huber Boris Kovalerchuk Charles Recaido 16 7 0 28 May 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 34 6 0 23 May 2023
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions V. Mandalapu Lavanya Elluri P. Vyas Nirmalya Roy 26 48 0 28 Mar 2023
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation Yining Jiao C. Zdanski Julia Kimbell Andrew Prince Cameron P Worden ... Christopher Rutter Benjamin Shields William Dunn Jisan Mahmud Marc Niethammer 34 3 0 16 Mar 2023
Causal Dependence Plots Joshua R. Loftus Lucius E.J. Bynum Sakina Hansen CML 33 1 0 07 Mar 2023
Causal Deep Learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML AI4CE 18 25 0 03 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 23 67 0 25 Dec 2022
$Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing$ Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing Chao Min Guo-quan Wen Liang Gou Xiaogang Li Zhaozhong Yang CML 13 10 0 21 Dec 2022
Causality-Aware Local Interpretable Model-Agnostic Explanations Martina Cinquini Riccardo Guidotti CML 49 1 0 10 Dec 2022
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 33 2 0 01 Dec 2022
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 46 44 0 01 Nov 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 27 91 0 20 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong A. Monroy-Hernández 38 107 0 02 Oct 2022
MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques Pascal Maniriho A. N. Mahmood M. Chowdhury 17 7 0 08 Sep 2022
Explanatory causal effects for model agnostic explanations Jiuyong Li Ha Xuan Tran T. Le Lin Liu Kui Yu Jixue Liu CML 22 1 0 23 Jun 2022
OmniXAI: A Library for Explainable AI Wenzhuo Yang Hung Le Tanmay Laud Silvio Savarese S. Hoi SyDa 21 39 0 01 Jun 2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation Wenzhuo Yang Jia Li Caiming Xiong S. Hoi CML 21 13 0 31 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 42 108 0 23 May 2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis Xuetong Wu Mingming Gong J. Manton U. Aickelin Jingge Zhu CML 22 2 0 10 May 2022