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
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Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 96 449 0 26 Sep 2019
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs Diego Marcos Sylvain Lobry D. Tuia FAtt MILM 59 28 0 18 Sep 2019
Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity Chongzhi Zhang Aishan Liu Xianglong Liu Yitao Xu Hang Yu Yuqing Ma Tianlin Li AAML 134 19 0 16 Sep 2019
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Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses Rodney LaLonde Drew Torigian Ulas Bagci MedIm 63 5 0 12 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 159 74 0 08 Sep 2019
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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Parth Natekar Avinash Kori Ganapathy Krishnamurthi 46 1 0 03 Sep 2019
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Computing Linear Restrictions of Neural Networks Matthew Sotoudeh Aditya V. Thakur 41 24 0 17 Aug 2019
A Tour of Convolutional Networks Guided by Linear Interpreters Pablo Navarrete Michelini Hanwen Liu Yunhua Lu Xingqun Jiang HAI FAtt 47 7 0 14 Aug 2019
Visualizing Image Content to Explain Novel Image Discovery Jake H. Lee K. Wagstaff 36 3 0 14 Aug 2019
Measurable Counterfactual Local Explanations for Any Classifier Adam White Artur Garcez FAtt 73 98 0 08 Aug 2019
Knowledge Consistency between Neural Networks and Beyond Ruofan Liang Tianlin Li Longfei Li Jingchao Wang Quanshi Zhang 86 28 0 05 Aug 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 76 63 0 25 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu Basel Alomair AAML 104 70 0 21 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 173 1,466 0 17 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 313 1,487 0 16 Jul 2019
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units L. Meegahapola Vengateswaran Subramaniam Lance M. Kaplan Archan Misra 45 2 0 05 Jul 2019
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A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features Olga Slizovskaia E. Gómez G. Haro 26 1 0 03 Jul 2019
Dissecting Pruned Neural Networks Jonathan Frankle David Bau 44 8 0 29 Jun 2019
Interpretable Image Recognition with Hierarchical Prototypes Peter Hase Chaofan Chen Oscar Li Cynthia Rudin VLM 92 114 0 25 Jun 2019
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Extracting Interpretable Concept-Based Decision Trees from CNNs Conner Chyung Michael Tsang Yan Liu FAtt 54 8 0 11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 27 0 0 10 Jun 2019
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness Walt Woods Jack H Chen C. Teuscher AAML 66 46 0 07 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 56 2 0 04 Jun 2019
Adversarial Robustness as a Prior for Learned Representations Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Brandon Tran Aleksander Madry OOD AAML 95 63 0 03 Jun 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 50 1 0 27 May 2019
Why do These Match? Explaining the Behavior of Image Similarity Models Bryan A. Plummer Mariya I. Vasileva Vitali Petsiuk Kate Saenko David A. Forsyth XAI FAtt 69 18 0 26 May 2019
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Deep Visual City Recognition Visualization Xiangwei Shi Seyran Khademi Jan van Gemert SSL HAI FAtt 47 4 0 06 May 2019
SCOPS: Self-Supervised Co-Part Segmentation Wei-Chih Hung Varun Jampani Sifei Liu Pavlo Molchanov Ming-Hsuan Yang Jan Kautz 87 142 0 03 May 2019
Visualizing Deep Networks by Optimizing with Integrated Gradients Zhongang Qi Saeed Khorram Fuxin Li FAtt 83 126 0 02 May 2019