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
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A SurveyMachine Learning and Knowledge Extraction (MLKE), 2019 Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 303 414 0 27 Nov 2019
Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset Bingyuan Liu Jiantao Zhang Xiaoting Zhang Wei Zhang Chuanhui Yu Yuan Zhou 3DPC 3DV 189 10 0 21 Nov 2019
Semantic Hierarchy Emerges in Deep Generative Representations for Scene SynthesisInternational Journal of Computer Vision (IJCV), 2019 Ceyuan Yang Yujun Shen Bolei Zhou GAN 371 209 0 21 Nov 2019
Towards a Unified Evaluation of Explanation Methods without Ground Truth Hao Zhang Jiayi Chen Haotian Xue Quanshi Zhang XAI 182 9 0 20 Nov 2019
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable MannersEuropean Conference on Artificial Intelligence (ECAI), 2019 Xiaolong Hu Zhulin An Chuanguang Yang Hui Zhu Kaiqiang Xu Yongjun Xu 257 3 0 20 Nov 2019
RotationOut as a Regularization Method for Neural Network Kaiqin Hu Barnabás Póczós 88 1 0 18 Nov 2019
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video UnderstandingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Mathew Monfort Bowen Pan K. Ramakrishnan A. Andonian Barry A. McNamara A. Lascelles Quanfu Fan Dan Gutfreund Rogerio Feris A. Oliva VLM 695 77 0 01 Nov 2019
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines Jingxiang Lin Unnat Jain Alex Schwing LRM ReLM 292 10 0 31 Oct 2019
Seeing What a GAN Cannot GenerateIEEE International Conference on Computer Vision (ICCV), 2019 David Bau Jun-Yan Zhu Jonas Wulff William S. Peebles Hendrik Strobelt Bolei Zhou Antonio Torralba GAN 192 334 0 24 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIInformation Fusion (Inf. Fusion), 2019 Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 798 7,431 0 22 Oct 2019
Semantics for Global and Local Interpretation of Deep Neural Networks Jindong Gu Volker Tresp AI4CE 121 14 0 21 Oct 2019
Understanding Deep Networks via Extremal Perturbations and Smooth MasksIEEE International Conference on Computer Vision (ICCV), 2019 Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 237 460 0 18 Oct 2019
Coloring the Black Box: Visualizing neural network behavior with a self-introspective model Arturo Pardo José A. Gutiérrez-Gutiérrez J. López-Higuera Brian W Pogue O. Conde MILM 76 5 0 10 Oct 2019
Interpreting Deep Learning-Based Networking Systems Zili Meng Minhu Wang Jia-Ju Bai Mingwei Xu Hongzi Mao Hongxin Hu AI4CE 150 3 0 09 Oct 2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance SegmentationIEEE International Conference on Computer Vision (ICCV), 2019 Weifeng Ge Sheng Guo Weilin Huang Matthew R. Scott 180 54 0 07 Oct 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 217 489 0 26 Sep 2019
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs Diego Marcos Sylvain Lobry D. Tuia FAtt MILM 117 30 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 302 19 0 16 Sep 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency ImprovementIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019 Qing Yang Jiachen Mao Zuoguan Wang Xue Yang 99 16 0 13 Sep 2019
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses Rodney LaLonde Drew Torigian Ulas Bagci MedIm 202 5 0 12 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyMachine Learning for Biomedical Imaging (MLBI), 2019 Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 372 74 0 08 Sep 2019
Scene Recognition with Prototype-agnostic Scene LayoutIEEE Transactions on Image Processing (TIP), 2019 Gongwei Chen Xinhang Song Haitao Zeng Shuqiang Jiang 126 62 0 07 Sep 2019
Semantic-Aware Scene RecognitionPattern Recognition (Pattern Recognit.), 2019 Alejandro López-Cifuentes Marcos Escudero-Viñolo Jesús Bescós Álvaro García-Martín 192 125 0 05 Sep 2019
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Parth Natekar Avinash Kori Ganapathy Krishnamurthi 208 1 0 03 Sep 2019
Gated Convolutional Networks with Hybrid Connectivity for Image ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2019 Chuanguang Yang Zhulin An Hui Zhu Xiaolong Hu Boyu Diao Kaiqiang Xu Chao Li Yongjun Xu 197 56 0 26 Aug 2019
Computing Linear Restrictions of Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 Matthew Sotoudeh Aditya V. Thakur 130 24 0 17 Aug 2019
A Tour of Convolutional Networks Guided by Linear InterpretersIEEE International Conference on Computer Vision (ICCV), 2019 Pablo Navarrete Michelini Hanwen Liu Yunhua Lu Xingqun Jiang HAI FAtt 149 8 0 14 Aug 2019
Visualizing Image Content to Explain Novel Image DiscoveryData mining and knowledge discovery (DMKD), 2019 Jake H. Lee K. Wagstaff 116 3 0 14 Aug 2019
Measurable Counterfactual Local Explanations for Any ClassifierEuropean Conference on Artificial Intelligence (ECAI), 2019 Adam White Artur Garcez FAtt 193 106 0 08 Aug 2019
Knowledge Consistency between Neural Networks and BeyondInternational Conference on Learning Representations (ICLR), 2019 Ruofan Liang Tianlin Li Longfei Li Jingchao Wang Quanshi Zhang 201 28 0 05 Aug 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 215 69 0 25 Jul 2019
Characterizing Attacks on Deep Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2019 Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu Basel Alomair AAML 210 76 0 21 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAIIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Erico Tjoa Cuntai Guan XAI 562 1,746 0 17 Jul 2019
Natural Adversarial ExamplesComputer Vision and Pattern Recognition (CVPR), 2019 Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 898 1,729 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 118 3 0 05 Jul 2019
Multiplicative modulations in hue-selective cells enhance unique hue representationbioRxiv (bioRxiv), 2019 Paria Mehrani A. Mouraviev John K. Tsotsos 48 0 0 03 Jul 2019
Neuron ranking -- an informed way to condense convolutional neural networks architecture Kamil Adamczewski Mijung Park FAtt 125 3 0 03 Jul 2019
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features Olga Slizovskaia E. Gómez G. Haro 68 1 0 03 Jul 2019
Dissecting Pruned Neural Networks Jonathan Frankle David Bau 96 9 0 29 Jun 2019
Interpretable Image Recognition with Hierarchical PrototypesAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2019 Peter Hase Chaofan Chen Oscar Li Cynthia Rudin VLM 256 127 0 25 Jun 2019
GANalyze: Toward Visual Definitions of Cognitive Image PropertiesIEEE International Conference on Computer Vision (ICCV), 2019 L. Goetschalckx A. Andonian A. Oliva Phillip Isola FAtt GAN 195 336 0 24 Jun 2019
From Clustering to Cluster Explanations via Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Jacob R. Kauffmann Malte Esders Lukas Ruff G. Montavon Wojciech Samek K. Müller 208 85 0 18 Jun 2019
Extracting Interpretable Concept-Based Decision Trees from CNNs Conner Chyung Michael Tsang Yan Liu FAtt 130 8 0 11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information DiscardingInternational Conference on Machine Learning (ICML), 2019 Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 105 1 0 10 Jun 2019
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network RobustnessNature Machine Intelligence (NMI), 2019 Walt Woods Jack H Chen C. Teuscher AAML 213 49 0 07 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 125 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 216 63 0 03 Jun 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 261 1 0 27 May 2019
Why do These Match? Explaining the Behavior of Image Similarity ModelsEuropean Conference on Computer Vision (ECCV), 2019 Bryan A. Plummer Mariya I. Vasileva Vitali Petsiuk Kate Saenko David A. Forsyth XAI FAtt 121 19 0 26 May 2019
Testing DNN Image Classifiers for Confusion & Bias ErrorsInternational Conference on Software Engineering (ICSE), 2019 Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 245 53 0 20 May 2019