Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

50 / 294 papers shown

Title
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 38 132 0 27 Apr 2021
Exploiting Explanations for Model Inversion Attacks Xu Zhao Wencan Zhang Xiao Xiao Brian Y. Lim MIACV 34 82 0 26 Apr 2021
EigenGAN: Layer-Wise Eigen-Learning for GANs Zhenliang He Meina Kan Shiguang Shan GAN 57 50 0 26 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
An Interpretability Illusion for BERT Tolga Bolukbasi Adam Pearce Ann Yuan Andy Coenen Emily Reif Fernanda Viégas Martin Wattenberg MILM FAtt 46 68 0 14 Apr 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 32 198 0 27 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 37 8 0 16 Mar 2021
Intraclass clustering: an implicit learning ability that regularizes DNNs Simon Carbonnelle Christophe De Vleeschouwer 65 8 0 11 Mar 2021
Explainable Person Re-Identification with Attribute-guided Metric Distillation Xiaodong Chen Xinchen Liu Wu Liu Xiaoping Zhang Yongdong Zhang Tao Mei 53 44 0 02 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 50 170 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 67 100 0 11 Jan 2021
TransPose: Keypoint Localization via Transformer Sen Yang Zhibin Quan Mu Nie Wankou Yang ViT 143 263 0 28 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 22 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 33 112 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 34 18 0 10 Dec 2020
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation Zongze Wu Dani Lischinski Eli Shechtman DRL 49 482 0 25 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 24 52 0 14 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 27 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 22 65 0 05 Nov 2020
Role Taxonomy of Units in Deep Neural Networks Yang Zhao Hao Zhang Xiuyuan Hu 18 1 0 02 Nov 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina Ruth C. Fong Andrea Vedaldi OCL 33 13 0 27 Oct 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 47 7 0 23 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 36 60 0 27 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 20 27 0 18 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 46 62 0 11 Sep 2020
CuratorNet: Visually-aware Recommendation of Art Images Pablo Messina Manuel Cartagena Patricio Cerda Felipe del-Rio Denis Parra 25 14 0 09 Sep 2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset Erico Tjoa Cuntai Guan XAI FAtt 19 27 0 07 Sep 2020
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability Avinash Kori Parth Natekar Ganapathy Krishnamurthi Balaji Srinivasan 26 8 0 14 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 14 56 0 14 Aug 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao Biao Li FAtt 24 266 0 05 Aug 2020
Explainable Face Recognition Jonathan R. Williford Brandon B. May J. Byrne CVBM 16 71 0 03 Aug 2020
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance Mattia Carletti M. Terzi Gian Antonio Susto 36 42 0 21 Jul 2020
Volumetric Transformer Networks Seungryong Kim Sabine Süsstrunk Mathieu Salzmann ViT 35 5 0 18 Jul 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 16 47 0 16 Jul 2020
Scientific Discovery by Generating Counterfactuals using Image Translation Arunachalam Narayanaswamy Subhashini Venugopalan D. Webster L. Peng G. Corrado ... Abigail E. Huang Siva Balasubramanian Michael P. Brenner Phil Q. Nelson A. Varadarajan DiffM MedIm 30 20 0 10 Jul 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 40 784 0 09 Jul 2020
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 34 66 0 26 Jun 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 13 117 0 13 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 175 0 02 Jun 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 14 138 0 21 May 2020
Explaining AI-based Decision Support Systems using Concept Localization Maps Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 27 26 0 04 May 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 30 21 0 02 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 47 120 0 26 Mar 2020
Foundations of Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen Oshani Seneviratne D. McGuinness 39 28 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 28 18 0 16 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 22 2 0 05 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 58 33 0 03 Mar 2020
On Leveraging Pretrained GANs for Generation with Limited Data Miaoyun Zhao Yulai Cong Lawrence Carin 34 21 0 26 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 25 108 0 23 Feb 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 20 53 0 13 Feb 2020