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
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 237 73 0 26 Jun 2020
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Learning to Branch for Multi-Task LearningInternational Conference on Machine Learning (ICML), 2020 Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 220 201 0 02 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 567 300 0 29 May 2020
Network Bending: Expressive Manipulation of Deep Generative Models Terence Broad F. Leymarie M. Grierson AI4CE 125 2 0 25 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 283 156 0 21 May 2020
Finding Experts in Transformer Models Xavier Suau Luca Zappella N. Apostoloff 149 32 0 15 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 164 32 0 12 May 2020
Explaining AI-based Decision Support Systems using Concept Localization MapsInternational Conference on Neural Information Processing (ICONIP), 2020 Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 152 29 0 04 May 2020
A Disentangling Invertible Interpretation Network for Explaining Latent RepresentationsComputer Vision and Pattern Recognition (CVPR), 2020 Patrick Esser Robin Rombach Bjorn Ommer 189 91 0 27 Apr 2020
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes Sohee Cho Ginkyeng Lee Wonjoon Chang Jaesik Choi 129 16 0 27 Apr 2020
Games for Fairness and Interpretability Eric Chu Nabeel Gillani S. Makini FaML 140 5 0 20 Apr 2020
Motion-supervised Co-Part SegmentationInternational Conference on Pattern Recognition (ICPR), 2020 Aliaksandr Siarohin Subhankar Roy Stéphane Lathuilière Sergey Tulyakov Elisa Ricci Andrii Zadaianchuk SSL 136 39 0 07 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 132 22 0 02 Apr 2020
Architecture Disentanglement for Deep Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2020 Jie Hu Liujuan Cao QiXiang Ye Tong Tong Shengchuan Zhang Ke Li Feiyue Huang Rongrong Ji Ling Shao AAML 169 21 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 327 140 0 26 Mar 2020
Deep Grouping Model for Unified Perceptual ParsingComputer Vision and Pattern Recognition (CVPR), 2020 Zhiheng Li Wenxuan Bao Jiayang Zheng Chenliang Xu 214 16 0 25 Mar 2020
Foundations of Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen Oshani Seneviratne D. McGuinness 177 30 0 17 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 242 19 0 16 Mar 2020
Explaining Knowledge Distillation by Quantifying the KnowledgeComputer Vision and Pattern Recognition (CVPR), 2020 Feng He Zhefan Rao Yilan Chen Quanshi Zhang 192 136 0 07 Mar 2020
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes Gurpreet Singh Soumyajit Gupta Matt Lease Clint Dawson AI4TS AI4CE 75 2 0 05 Mar 2020
What's the relationship between CNNs and communication systems? Hao Ge X. Tu Yanxiang Gong M. Xie Zheng Ma 88 0 0 03 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNsInternational Conference on Learning Representations (ICLR), 2020 Matthew L. Leavitt Ari S. Morcos 224 34 0 03 Mar 2020
On Leveraging Pretrained GANs for Generation with Limited DataInternational Conference on Machine Learning (ICML), 2020 Miaoyun Zhao Yulai Cong Lawrence Carin 215 22 0 26 Feb 2020
Neuron Shapley: Discovering the Responsible NeuronsNeural Information Processing Systems (NeurIPS), 2020 Amirata Ghorbani James Zou FAtt TDI 238 135 0 23 Feb 2020
Sampling for Deep Learning Model Diagnosis (Technical Report) Parmita Mehta S. Portillo Magdalena Balazinska Andrew J. Connolly LM&MA MLAU 94 2 0 22 Feb 2020
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Classifying the classifier: dissecting the weight space of neural networksEuropean Conference on Artificial Intelligence (ECAI), 2020 Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 180 60 0 13 Feb 2020
CHAIN: Concept-harmonized Hierarchical Inference Interpretation of Deep Convolutional Neural Networks Dan Wang Xinrui Cui F. I. Z. Jane Wang AI4CE 97 15 0 05 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable RepresentationsInternational Conference on Learning Representations (ICLR), 2020 S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 535 37 0 04 Feb 2020
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and OcclusionIEEE Transactions on Image Processing (TIP), 2020 Wenbo Dong Pravakar Roy Cheng Peng Volkan Isler 169 71 0 30 Jan 2020
Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual DifferencesInternational Conference on Human Factors in Computing Systems (CHI), 2020 Ruotong Wang F. M. Harper Haiyi Zhu FaML 146 203 0 27 Jan 2020
Adapting Grad-CAM for Embedding NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Lei Chen Jianhui Chen Hossein Hajimirsadeghi Greg Mori 197 65 0 17 Jan 2020
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based SystemsInternational Conference on Human Factors in Computing Systems (CHI), 2020 C. E. Smith Bowen Yu Anjali Srivastava Aaron L Halfaker Loren G. Terveen Haiyi Zhu KELM 186 75 0 14 Jan 2020
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep FeaturesIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020 Feng Cen Guanghui Wang 223 32 0 13 Jan 2020
On Interpretability of Artificial Neural Networks: A SurveyIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020 Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 401 372 0 08 Jan 2020
Image Enhanced Rotation Prediction for Self-Supervised LearningInternational Conference on Information Photonics (ICIP), 2019 Shin'ya Yamaguchi Sekitoshi Kanai Tetsuya Shioda Shoichiro Takeda 104 14 0 25 Dec 2019
White Noise Analysis of Neural NetworksInternational Conference on Learning Representations (ICLR), 2019 Ali Borji Sikun Lin FAtt 93 12 0 23 Dec 2019
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout ClassificationInternational Conference on Learning Representations (ICLR), 2019 Bennet Breier A. Onken 81 4 0 20 Dec 2019
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary TasksComputer Vision and Image Understanding (CVIU), 2019 B. Chatterjee Charalambos (Charis) Poullis SSeg 83 19 0 19 Dec 2019
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small MultiplesInternational Conference on Intelligent User Interfaces (IUI), 2019 Angie Boggust Brandon Carter Arvind Satyanarayan 255 73 0 10 Dec 2019
Frivolous Units: Wider Networks Are Not Really That WideAAAI Conference on Artificial Intelligence (AAAI), 2019 Stephen Casper Xavier Boix Vanessa D’Amario Ling Guo Martin Schrimpf Kasper Vinken Gabriel Kreiman 223 20 0 10 Dec 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 354 10 0 29 Nov 2019
Orthogonal Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2019 Jiayun Wang Yubei Chen Rudrasis Chakraborty Stella X. Yu 347 206 0 27 Nov 2019