Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

37 / 787 papers shown

Title
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 182 826 0 02 Feb 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 104 324 0 01 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 38 15 0 30 Jan 2018
Considerations When Learning Additive Explanations for Black-Box Models S. Tan Giles Hooker Paul Koch Albert Gordo R. Caruana FAtt 118 24 0 26 Jan 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers Fred Hohman Minsuk Kahng Robert S. Pienta Duen Horng Chau OOD HAI 103 541 0 21 Jan 2018
Can Computers Create Art? Aaron Hertzmann 130 154 0 13 Jan 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 103 264 0 10 Jan 2018
What have we learned from deep representations for action recognition? Christoph Feichtenhofer A. Pinz Richard P. Wildes Andrew Zisserman SSL 88 47 0 04 Jan 2018
Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation Heyi Li Yunke Tian Klaus Mueller Xin Chen FAtt 77 42 0 22 Dec 2017
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning Andrew Owens Jiajun Wu Josh H. McDermott William T. Freeman Antonio Torralba SSL 93 176 0 20 Dec 2017
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks José Oramas Kaili Wang Tinne Tuytelaars XAI FAtt 47 62 0 18 Dec 2017
Network Analysis for Explanation Hiroshi Kuwajima Masayuki Tanaka FAtt 29 3 0 07 Dec 2017
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 274 1,852 0 30 Nov 2017
Patch Correspondences for Interpreting Pixel-level CNNs Victor Fragoso Chunhui Liu Aayush Bansal Deva Ramanan 50 3 0 29 Nov 2017
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition Jingxuan Hou Tae Soo Kim A. Reiter 18 1 0 22 Nov 2017
Few-shot Learning by Exploiting Visual Concepts within CNNs Boyang Deng Qing Liu Siyuan Qiao Alan Yuille 76 4 0 22 Nov 2017
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching Qian Yu Xiaobin Chang Yi-Zhe Song Tao Xiang Timothy M. Hospedales 106 91 0 22 Nov 2017
Relating Input Concepts to Convolutional Neural Network Decisions Ning Xie Md Kamruzzaman Sarker Derek Doran Pascal Hitzler M. Raymer FAtt 63 15 0 21 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 72 26 0 15 Nov 2017
Interpreting Deep Visual Representations via Network Dissection Bolei Zhou David Bau A. Oliva Antonio Torralba FAtt MILM 76 325 0 15 Nov 2017
Towards Interpretable R-CNN by Unfolding Latent Structures Tianfu Wu Wei Sun Xilai Li Xi Song Yangqiu Song ObjD 62 20 0 14 Nov 2017
D-PCN: Parallel Convolutional Networks for Image Recognition via a Discriminator Shiqi Yang G. Peng 26 2 0 12 Nov 2017
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy Devinder Kumar Graham W. Taylor Alexander Wong MedIm 48 36 0 29 Oct 2017
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence Tianlu Wang Kota Yamaguchi Vicente Ordonez 92 11 0 23 Oct 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 132 785 0 02 Oct 2017
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives Derek Doran Sarah Schulz Tarek R. Besold XAI 68 440 0 02 Oct 2017
Verifying Properties of Binarized Deep Neural Networks Nina Narodytska S. Kasiviswanathan L. Ryzhyk Shmuel Sagiv T. Walsh AAML 117 217 0 19 Sep 2017
Embedding Deep Networks into Visual Explanations Zhongang Qi Saeed Khorram Fuxin Li 41 27 0 15 Sep 2017
Learning Functional Causal Models with Generative Neural Networks Hugo Jair Escalante Sergio Escalera Xavier Baro Isabelle M Guyon Umut Güçlü Marcel van Gerven CML BDL 107 108 0 15 Sep 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples Yinpeng Dong Hang Su Jun Zhu Fan Bao AAML 143 129 0 18 Aug 2017
Interpreting CNN Knowledge via an Explanatory Graph Quanshi Zhang Ruiming Cao Feng Shi Ying Nian Wu Song-Chun Zhu FAtt GNN SSL 83 243 0 05 Aug 2017
An Analysis of Human-centered Geolocation Kaili Wang Yu-Hui Huang José Oramas Luc Van Gool Tinne Tuytelaars 60 6 0 10 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 299 2,280 0 24 Jun 2017
Patchnet: Interpretable Neural Networks for Image Classification Adityanarayanan Radhakrishnan Charles Durham Ali Soylemezoglu Caroline Uhler FAtt 38 12 0 23 May 2017
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification Vincent Andrearczyk P. Whelan 56 65 0 16 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 629 20,278 0 07 Oct 2016
Action Classification via Concepts and Attributes Amir Rosenfeld S. Ullman 84 11 0 25 May 2016