CAT: Interpretable Concept-based Taylor Additive Models

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CAT: Interpretable Concept-based Taylor Additive Models

25 June 2024

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Papers citing "CAT: Interpretable Concept-based Taylor Additive Models"

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Title
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio M. Jamnik 138 59 0 19 Sep 2022
Neural Basis Models for Interpretability Filip Radenovic Abhimanyu Dubey D. Mahajan FAtt 109 47 0 27 May 2022
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 84 233 0 10 Aug 2021
Promises and Pitfalls of Black-Box Concept Learning Models Anita Mahinpei Justin Clark Isaac Lage Finale Doshi-Velez Weiwei Pan 91 96 0 24 Jun 2021
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning C. Chang R. Caruana Anna Goldenberg AI4CE 93 80 0 03 Jun 2021
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 102 162 0 11 Aug 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets Rishabh Agarwal Levi Melnick Nicholas Frosst Xuezhou Zhang Ben Lengerich R. Caruana Geoffrey E. Hinton 99 420 0 29 Apr 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 94 322 0 05 Feb 2020
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack Sophie Hilgard Emily Jia Sameer Singh Himabindu Lakkaraju FAtt AAML MLAU 81 822 0 06 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 135 6,321 0 22 Oct 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation Cheng-Han Lee Ziwei Liu Lingyun Wu Ping Luo CVBM 175 1,076 0 27 Jul 2019
Global and Local Interpretability for Cardiac MRI Classification J. Clough Ilkay Oksuz Esther Puyol-Antón B. Ruijsink A. King Julia A. Schnabel 79 60 0 14 Jun 2019
Semantic bottleneck for computer vision tasks Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 89 17 0 06 Nov 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli J. Tenenbaum NAI 84 612 0 04 Oct 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 70 1,356 0 16 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 88 839 0 16 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 817 39,255 0 09 Mar 2016