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Interpreting CNNs via Decision Trees

1 February 2018

Papers citing "Interpreting CNNs via Decision Trees"

34 / 134 papers shown

Title
Explaining Knowledge Distillation by Quantifying the Knowledge Xu Cheng Zhefan Rao Yilan Chen Quanshi Zhang 94 122 0 07 Mar 2020
What's the relationship between CNNs and communication systems? Hao Ge X. Tu Yanxiang Gong M. Xie Zheng Ma 32 0 0 03 Mar 2020
Leveraging Rationales to Improve Human Task Performance Devleena Das Sonia Chernova 87 50 0 11 Feb 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 156 734 0 08 Jan 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 61 30 0 10 Dec 2019
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners Xiaolong Hu Zhulin An Chuanguang Yang Hui Zhu Kaiqiang Xu Yongjun Xu 60 3 0 20 Nov 2019
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines Jingxiang Lin Unnat Jain Alex Schwing LRM ReLM 107 9 0 31 Oct 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 383 6,403 0 22 Oct 2019
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders Francesco Calimeri Francesco Cauteruccio Luca Cinelli A. Marzullo C. Stamile G. Terracina F. Durand-Dubief D. Sappey-Marinier 48 19 0 21 Oct 2019
A game method for improving the interpretability of convolution neural network Jinwei Zhao Qizhou Wang Fuqiang Zhang Wanli Qiu Yufei Wang Yu Liu Guo Xie Weigang Ma Bin Wang Xinhong Hei AI4CE 63 0 0 21 Oct 2019
Leveraging Model Interpretability and Stability to increase Model Robustness Leilei Gan T. Michel Alexandre Briot AAML FAtt 48 1 0 01 Oct 2019
Facial age estimation by deep residual decision making Shichao Li K. Cheng CVBM 47 6 0 28 Aug 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Helen Zhou XAI ELM 74 67 0 16 Jul 2019
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy Aaron M. Roth Nicholay Topin Pooyan Jamshidi Manuela Veloso OffRL 95 48 0 02 Jul 2019
Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial Neural Networks R. Confalonieri Tillman Weyde Tarek R. Besold Fermín Moscoso del Prado Martín 58 24 0 19 Jun 2019
Extracting Interpretable Concept-Based Decision Trees from CNNs Conner Chyung Michael Tsang Yan Liu FAtt 63 8 0 11 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 77 2 0 04 Jun 2019
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning Peng Xu Zhaohong Deng Chen Cui Te Zhang K. Choi Suhang Gu Jun Wang Shitong Wang 59 32 0 24 Apr 2019
Visualizing the decision-making process in deep neural decision forest Shichao Li K. Cheng FAtt 69 7 0 19 Apr 2019
Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning I. D. Rodriguez Taylor W. Killian Ivan Dario Jimenez Rodriguez Sung-Hyun Son Matthew C. Gombolay OffRL 87 12 0 22 Mar 2019
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights Abeegithan Jeyasothy Suresh Sundaram Savitha Ramasamy N. Sundararajan 48 4 0 28 Feb 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey Chih-Hong Cheng Dhiraj Gulati Rongjie Yan 56 4 0 27 Feb 2019
Learning Decision Trees Recurrently Through Communication Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata 71 16 0 05 Feb 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Eric Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 61 54 0 08 Jan 2019
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation Xuan Liu Xiaoguang Wang Stan Matwin HAI 81 101 0 28 Dec 2018
Explanatory Graphs for CNNs Quanshi Zhang Xin Eric Wang Ruiming Cao Ying Nian Wu Feng Shi Song-Chun Zhu FAtt GNN 49 3 0 18 Dec 2018
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang Jie Ren Quanshi Zhang FAtt 81 56 0 18 Dec 2018
Abduction-Based Explanations for Machine Learning Models Alexey Ignatiev Nina Narodytska Sasha Rubin FAtt 74 226 0 26 Nov 2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis Kasanagottu Sairam J. Mukherjee A. Patra P. Das 72 5 0 11 Nov 2018
Semantic bottleneck for computer vision tasks Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 95 17 0 06 Nov 2018
Explainable Neural Computation via Stack Neural Module Networks Ronghang Hu Jacob Andreas Trevor Darrell Kate Saenko LRM OCL 132 199 0 23 Jul 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 98 35 0 25 May 2018
Unsupervised Learning of Neural Networks to Explain Neural Networks Quanshi Zhang Yu Yang Yuchen Liu Ying Nian Wu Song-Chun Zhu FAtt SSL 80 27 0 18 May 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 210 827 0 02 Feb 2018