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Visual Interpretability for Deep Learning: a Survey

2 February 2018

Papers citing "Visual Interpretability for Deep Learning: a Survey"

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Title
FAIR AI Models in High Energy Physics Javier Mauricio Duarte Haoyang Li Avik Roy Ruike Zhu Eliu A. Huerta ... Mark S. Neubauer Sang Eon Park M. Quinnan R. Rusack Zhizhen Zhao 121 8 0 09 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 76 42 0 07 Dec 2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu Wang Hanyu Wang FaML 85 16 0 07 Dec 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 62 21 0 27 Nov 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Poulami Sinhamahapatra Lena Heidemann Maureen Monnet Karsten Roscher 80 5 0 22 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 123 98 0 15 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 57 14 0 08 Nov 2022
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models Wenli Yang Guangtai Huang Renjie Li Jiahao Yu Yanyu Chen Quan-wei Bai Beyong Kang 29 1 0 31 Oct 2022
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks Ankit Gupta I. Sintorn HAI 100 1 0 20 Oct 2022
Local Interpretable Model Agnostic Shap Explanations for machine learning models P. Aditya M. Pal FAtt 61 6 0 10 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of Explanations Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 66 5 0 05 Oct 2022
PathFinder: Discovering Decision Pathways in Deep Neural Networks Ozan Irsoy Ethem Alpaydin FAtt 29 0 0 01 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 88 4 0 26 Sep 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 76 8 0 19 Sep 2022
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 100 6 0 07 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents E. Gurina Nikita Klyuchnikov Ksenia Antipova D. Koroteev FAtt 76 8 0 06 Sep 2022
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis Qian Chen Xingjian Dong Guowei Tu Dong Wang Baoxuan Zhao Zhike Peng AI4CE 30 75 0 05 Sep 2022
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks J. Richards Raphael Huser 278 14 0 16 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 128 134 0 27 Jul 2022
Inter-model Interpretability: Self-supervised Models as a Case Study Ahmad Mustapha Wael Khreich Wassim Masri SSL 24 0 0 24 Jul 2022
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies Dingqian Wang N. Honnorat P. Fox K. Ritter Simon B. Eickhoff S. Seshadri Mohamad Habes 66 36 0 22 Jul 2022
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical Evaluation Oliver Mey Deniz Neufeld 60 24 0 21 Jul 2022
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky FAtt 70 29 0 20 Jul 2022
CHARM: A Hierarchical Deep Learning Model for Classification of Complex Human Activities Using Motion Sensors Eric Rosen D. Senkal 32 5 0 16 Jul 2022
Learning to Prove Trigonometric Identities Zhouwu Liu Yujun Li Zhengying Liu Lin Li Zheng Li 59 3 0 14 Jul 2022
Is the U-Net Directional-Relationship Aware? M. Riva Pietro Gori Florian Yger Isabelle Bloch 18 2 0 06 Jul 2022
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers Fan Zhang Tengfei Xue Weidong (Tom) Cai Yogesh Rathi C. Westin L. O’Donnell MedIm 57 8 0 05 Jul 2022
Activation Template Matching Loss for Explainable Face Recognition Huawei Lin Haozhe Liu Qiufu Li Linlin Shen CVBM 73 2 0 05 Jul 2022
Efficient Human-in-the-loop System for Guiding DNNs Attention Yi He Xi Yang Chia-Ming Chang Haoran Xie Takeo Igarashi 87 8 0 13 Jun 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review S. Salcedo-Sanz Jorge Pérez-Aracil G. Ascenso Javier Del Ser D. Casillas-Pérez ... D. Barriopedro R. García-Herrera Marcello Restelli M. Giuliani A. Castelletti AI4Cl 70 13 0 03 Jun 2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. K. Zhou ViT OOD MedIm 165 42 0 02 Jun 2022
Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis Jing-Xiao Liao Hangcheng Dong Zhifei Sun Jinwei Sun Shiping Zhang Fenglei Fan 63 41 0 01 Jun 2022
Human-AI Shared Control via Policy Dissection Quanyi Li Zhenghao Peng Haibin Wu Lan Feng Bolei Zhou 65 13 0 31 May 2022
FIND:Explainable Framework for Meta-learning Xinyue Shao Hongzhi Wang Xiao-Wen Zhu Feng Xiong FedML 37 2 0 20 May 2022
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis J.D. Zamfirescu-Pereira Jerry Chen Emily Wen Allison Koenecke N. Garg Emma Pierson 58 6 0 15 May 2022
Automation Slicing and Testing for in-App Deep Learning Models Hao Wu Yuhang Gong Xiaopeng Ke Hanzhong Liang Minghao Li Fengyuan Xu Yunxin Liu Sheng Zhong 73 1 0 15 May 2022
Leveraging Global Binary Masks for Structure Segmentation in Medical Images M. Kazemimoghadam Zi Yang Lin Ma Mingli Chen Weiguo Lu X. Gu 61 1 0 13 May 2022
Visualizing and Explaining Language Models Adrian M. P. Braşoveanu Razvan Andonie MILM VLM 92 5 0 30 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 104 144 0 18 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 96 38 0 13 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 123 33 0 04 Apr 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 70 28 0 25 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series Christoffer Loeffler Wei-Cheng Lai Bjoern M. Eskofier Dario Zanca Lukas M. Schmidt Christopher Mutschler FAtt AI4TS 66 6 0 14 Mar 2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey Chen Tang Frank Guerin Chenghua Lin AI4CE OOD 119 19 0 06 Mar 2022
An Efficient Subpopulation-based Membership Inference Attack Shahbaz Rezaei Xin Liu MIACV 49 6 0 04 Mar 2022
Human-in-the-loop Machine Learning: A Macro-Micro Perspective Jiangtao Wang Bin Guo Liming Chen 63 8 0 21 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 76 93 0 16 Feb 2022
TimeREISE: Time-series Randomized Evolving Input Sample Explanation Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 53 7 0 16 Feb 2022
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods Dominique Mercier Jwalin Bhatt Andreas Dengel Sheraz Ahmed AI4TS 92 11 0 08 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 54 1 0 30 Jan 2022