Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

Papers citing "Network Dissection: Quantifying Interpretability of Deep Visual Representations"

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Title
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals Xi Ye Rohan Nair Greg Durrett 61 24 0 09 Apr 2021
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Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models Ashkan Khakzar Sabrina Musatian Jonas Buchberger Icxel Valeriano Quiroz Nikolaus Pinger Soroosh Baselizadeh Seong Tae Kim Nassir Navab 83 13 0 04 Apr 2021
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FocusedDropout for Convolutional Neural Network Tianshu Xie Minghui Liu Jiali Deng Xuan Cheng Xiaomin Wang Meilin Liu 40 10 0 29 Mar 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization Wei Gao Fang Wan Xingjia Pan Zhiliang Peng Qi Tian Zhenjun Han Bolei Zhou QiXiang Ye ViT WSOL 91 204 0 27 Mar 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 71 7 0 25 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning Zhigang Dai Bolun Cai Yugeng Lin Junying Chen SSL 68 6 0 19 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 82 344 0 19 Mar 2021
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation Yang Zhao Hao Zhang 77 7 0 17 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry Yingqi Liu Guangyu Shen Guanhong Tao Zhenting Wang Shiqing Ma Xinming Zhang AAML 97 8 0 16 Mar 2021
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Explainable Person Re-Identification with Attribute-guided Metric Distillation Xiaodong Chen Xinchen Liu Wu Liu Xiaoping Zhang Yongdong Zhang Tao Mei 108 47 0 02 Mar 2021
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The Mind's Eye: Visualizing Class-Agnostic Features of CNNs Alexandros Stergiou FAtt 29 3 0 29 Jan 2021
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs Md. Amirul Islam M. Kowal Sen Jia Konstantinos G. Derpanis Neil D. B. Bruce 61 58 0 28 Jan 2021
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Generating Attribution Maps with Disentangled Masked Backpropagation Adria Ruiz Antonio Agudo Francesc Moreno FAtt 40 1 0 17 Jan 2021
Towards interpreting ML-based automated malware detection models: a survey Yuzhou Lin Xiaolin Chang 126 7 0 15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 186 178 0 13 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 152 105 0 11 Jan 2021
Comprehensible Convolutional Neural Networks via Guided Concept Learning Sandareka Wickramanayake Wynne Hsu Mong Li Lee SSL 52 25 0 11 Jan 2021
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study D. David Yehezkel S. Resheff Talia Tron 44 24 0 05 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 209 691 0 28 Dec 2020
TransPose: Keypoint Localization via Transformer Sen Yang Zhibin Quan Mu Nie Wankou Yang ViT 205 271 0 28 Dec 2020
Analyzing Representations inside Convolutional Neural Networks Uday Singh Saini Evangelos E. Papalexakis FAtt 36 2 0 23 Dec 2020
Image Translation via Fine-grained Knowledge Transfer Xuanhong Chen Ziang Liu Ting Qiu Bingbing Ni Naiyuan Liu Xiwei Hu Yuhan Li 35 0 0 21 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 66 1 0 13 Dec 2020
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 58 117 0 10 Dec 2020
Influence-Driven Explanations for Bayesian Network Classifiers Antonio Rago Emanuele Albini P. Baroni Francesca Toni 94 9 0 10 Dec 2020
Deep Argumentative Explanations Emanuele Albini Piyawat Lertvittayakumjorn Antonio Rago Francesca Toni AAML 52 5 0 10 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 72 18 0 10 Dec 2020
A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation Jason R. Wilson Leilani H. Gilpin Irina Rabkina 35 4 0 05 Dec 2020
Detecting Trojaned DNNs Using Counterfactual Attributions Karan Sikka Indranil Sur Susmit Jha Anirban Roy Ajay Divakaran AAML 38 13 0 03 Dec 2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 136 10 0 26 Nov 2020
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation Zongze Wu Dani Lischinski Eli Shechtman DRL 138 483 0 25 Nov 2020
Interpretable Visual Reasoning via Induced Symbolic Space Zhonghao Wang Kai Wang Mo Yu Jinjun Xiong Wen-mei W. Hwu M. Hasegawa-Johnson Humphrey Shi LRM OCL 63 20 0 23 Nov 2020
Learning Class Unique Features in Fine-Grained Visual Classification Runkai Zheng Zhijia Yu Yinqi Zhang C. Ding Hei Victor Cheng Li Liu 24 0 0 22 Nov 2020
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators? Yunfan Liu Qi Li Zhenan Sun Tieniu Tan 58 19 0 19 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 89 54 0 14 Nov 2020
One Explanation is Not Enough: Structured Attention Graphs for Image Classification Vivswan Shitole Li Fuxin Minsuk Kahng Prasad Tadepalli Alan Fern FAtt GNN 70 38 0 13 Nov 2020
Debugging Tests for Model Explanations Julius Adebayo M. Muelly Ilaria Liccardi Been Kim FAtt 78 181 0 10 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 99 24 0 05 Nov 2020
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition Meike Nauta Annemarie Jutte Jesper C. Provoost C. Seifert FAtt 111 65 0 05 Nov 2020