Interpreting CNN Knowledge via an Explanatory Graph

5 August 2017

Papers citing "Interpreting CNN Knowledge via an Explanatory Graph"

26 / 26 papers shown

Title
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 79 0 0 23 Nov 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models Shuo Yang Chenchen Yuan Yao Rong Felix Steinbauer Gjergji Kasneci 36 1 0 17 Jun 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 66 6 0 18 Mar 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 18 1 0 30 Nov 2023
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks Parth Padalkar Gopal Gupta 19 3 0 19 Oct 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 23 34 0 13 Feb 2023
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 28 3 0 28 Nov 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers Estelle Aflalo Meng Du Shao-Yen Tseng Yongfei Liu Chenfei Wu Nan Duan Vasudev Lal 23 45 0 30 Mar 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 16 17 0 28 Mar 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 19 28 0 25 Mar 2022
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency Lin Cheng Pengfei Fang Yanjie Liang Liao Zhang Chunhua Shen Hanzi Wang FAtt 17 11 0 11 Oct 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 31 11 0 09 Sep 2021
A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective Wei‐Wen Hsu Yongfang Wu Chang Hao Yu-Ling Hou Xiang Gao Y. Shao Xueli Zhang Tao He Yanhong Tai OOD 12 3 0 05 Aug 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 21 184 0 15 May 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 37 169 0 13 Jan 2021
Learning Propagation Rules for Attribution Map Generation Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang FAtt 30 17 0 14 Oct 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 16 47 0 16 Jul 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 371 0 30 Apr 2020
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics Catarina Moreira Renuka Sindhgatta Chun Ouyang P. Bruza Andreas Wichert 12 4 0 21 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 32 300 0 08 Jan 2020
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Xia Hu XAI ELM 21 66 0 16 Jul 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin-Xia Yu XAI HAI 21 1,416 0 14 Jan 2019
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang J. Ren Quanshi Zhang FAtt 14 54 0 18 Dec 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 20 145 0 14 Jun 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 17 809 0 02 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 13 15 0 30 Jan 2018