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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
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 105 1 0 12 Nov 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 84 7 0 23 Oct 2020
ERIC: Extracting Relations Inferred from Convolutions Joe Townsend Theodoros Kasioumis Hiroya Inakoshi NAI FAtt 74 16 0 19 Oct 2020
JSRT: James-Stein Regression Tree Xingchun Xiang Qingtao Tang Huaixuan Zhang Tao Dai Jiawei Li Shutao Xia 16 1 0 18 Oct 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels Xiangwei Shi Seyran Khademi Yun-qiang Li Jan van Gemert VLM WSOL 88 20 0 16 Oct 2020
A general approach to compute the relevance of middle-level input features Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 49 6 0 16 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 64 18 0 13 Oct 2020
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection Liang Gou Lincan Zou Nanxiang Li M. Hofmann A. Shekar A. Wendt Liu Ren 131 62 0 27 Sep 2020
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations Boris Kovalerchuk M. Ahmad University of Washington Tacoma 58 42 0 21 Sep 2020
Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator Roy Eliya J. Herrmann 39 2 0 17 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 116 597 0 16 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 102 64 0 11 Sep 2020
Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model J. Wolff 28 5 0 07 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 98 52 0 06 Sep 2020
Emergent symbolic language based deep medical image classification Aritra Chowdhury Alberto Santamaria-Pang James R. Kubricht Peter Tu MedIm 50 11 0 22 Aug 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 90 223 0 21 Aug 2020
Explainable Recommender Systems via Resolving Learning Representations Ninghao Liu Yong Ge Li Li Helen Zhou Rui Chen Soo-Hyun Choi 36 24 0 21 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 226 283 0 15 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 75 56 0 14 Aug 2020
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We? Simin Wang LiGuo Huang Jidong Ge Tengfei Zhang Haitao Feng Ming Li He Zhang Vincent Ng AI4CE 58 7 0 12 Aug 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 41 29 0 12 Aug 2020
Feature visualization of Raman spectrum analysis with deep convolutional neural network Masashi Fukuhara Kazuhiko Fujiwara Y. Maruyama H. Itoh 23 64 0 27 Jul 2020
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance Mattia Carletti M. Terzi Gian Antonio Susto 50 42 0 21 Jul 2020
MeDaS: An open-source platform as service to help break the walls between medicine and informatics Liang Zhang Johann Li Ping Li Xiaoyuan Lu Peiyi Shen Guangming Zhu Syed Afaq Ali Shah Bennamoun Kun Qian Björn W. Schuller MedIm 52 6 0 12 Jul 2020
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion Adam Kortylewski Qing Liu Angtian Wang Yihong Sun Alan Yuille 79 78 0 28 Jun 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning Johnathon Shook Tryambak Gangopadhyay Linjian Wu Baskar Ganapathysubramanian Soumik Sarkar Asheesh K. Singh 67 137 0 24 Jun 2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence Changhao Chen Binghai Wang Chris Xiaoxuan Lu A. Trigoni Andrew Markham 101 136 0 22 Jun 2020
MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations Qing Yang Xia Zhu Jong-Kae Fwu Yun Ye Ganmei You Yuan Zhu AAML 51 20 0 04 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 110 271 0 29 May 2020
Towards AI Forensics: Did the Artificial Intelligence System Do It? Johannes Schneider Frank Breitinger AAML 46 11 0 27 May 2020
Deep Learning for Political Science Kakia Chatsiou Slava Jankin AI4CE 61 13 0 13 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang Dinggang Shen 69 311 0 06 May 2020
P2ExNet: Patch-based Prototype Explanation Network Dominique Mercier Andreas Dengel Sheraz Ahmed 36 4 0 05 May 2020
Hide-and-Seek: A Template for Explainable AI Thanos Tagaris A. Stafylopatis 24 6 0 30 Apr 2020
WT5?! Training Text-to-Text Models to Explain their Predictions Sharan Narang Colin Raffel Katherine Lee Adam Roberts Noah Fiedel Karishma Malkan 80 201 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 111 379 0 30 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 56 17 0 27 Apr 2020
Explaining Regression Based Neural Network Model Mégane Millan Catherine Achard FAtt 28 3 0 15 Apr 2020
Deep learning for smart fish farming: applications, opportunities and challenges Xinting Yang Song Zhang Jintao Liu Qinfeng Gao S. Dong Chao Zhou AI4CE 88 241 0 06 Apr 2020
STAN-CT: Standardizing CT Image using Generative Adversarial Network Mona Selim Jie Zhang B. Fei Guo-Qiang Zhang Jin Chen MedIm DiffM 35 17 0 02 Apr 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 129 220 0 30 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 98 220 0 09 Mar 2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models Qianwen Wang W. Alexander J. Pegg Huamin Qu Min Chen VLM 63 10 0 12 Feb 2020
Fine-grained Uncertainty Modeling in Neural Networks Rahul Soni Naresh Shah J. D. Moore UQCV 24 5 0 11 Feb 2020
Leveraging Rationales to Improve Human Task Performance Devleena Das Sonia Chernova 61 50 0 11 Feb 2020
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera Yuan Liang Hsuan-Wei Fan Zhujun Fang L. Miao Wen Li Xuan Zhang Weibin Sun Kun Wang Lei He Xiang Ánthony' Chen 47 37 0 16 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 315 0 08 Jan 2020
Risk of estimators for Sobol' sensitivity indices based on metamodels I. Panin 56 6 0 23 Dec 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 98 10 0 29 Nov 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 33 19 0 21 Oct 2019