Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

42 / 842 papers shown

Title
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning Weifeng Ge Sibei Yang Yizhou Yu 204 195 0 26 Feb 2018
Predicting Adversarial Examples with High Confidence A. Galloway Graham W. Taylor M. Moussa AAML 127 9 0 13 Feb 2018
Global Model Interpretation via Recursive Partitioning Chengliang Yang Anand Rangarajan Sanjay Ranka FAtt 146 85 0 11 Feb 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 285 940 0 09 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 156 55 0 02 Feb 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 336 877 0 02 Feb 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 247 342 0 01 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 79 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 324 28 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 229 579 0 21 Jan 2018
Can Computers Create Art? Aaron Hertzmann 188 172 0 13 Jan 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 225 279 0 10 Jan 2018
What have we learned from deep representations for action recognition? Christoph Feichtenhofer A. Pinz Richard P. Wildes Andrew Zisserman SSL 121 47 0 04 Jan 2018
Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagationImage and Vision Computing (IVC), 2017 Heyi Li Yunke Tian Klaus Mueller Xin Chen FAtt 203 43 0 22 Dec 2017
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual LearningInternational Journal of Computer Vision (IJCV), 2017 Andrew Owens Jiajun Wu Josh H. McDermott William T. Freeman Antonio Torralba SSL 261 170 0 20 Dec 2017
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks José Oramas Kaili Wang Tinne Tuytelaars XAI FAtt 256 68 0 18 Dec 2017
Network Analysis for Explanation Hiroshi Kuwajima Masayuki Tanaka FAtt 75 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 484 2,092 0 30 Nov 2017
Patch Correspondences for Interpreting Pixel-level CNNs Victor Fragoso Chunhui Liu Aayush Bansal Deva Ramanan 152 3 0 29 Nov 2017
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition Jingxuan Hou Tae Soo Kim A. Reiter 58 1 0 22 Nov 2017
Few-shot Learning by Exploiting Visual Concepts within CNNs Boyang Deng Qing Liu Siyuan Qiao Alan Yuille 169 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 269 95 0 22 Nov 2017
Relating Input Concepts to Convolutional Neural Network Decisions Ning Xie Md Kamruzzaman Sarker Derek Doran Pascal Hitzler M. Raymer FAtt 88 15 0 21 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 159 26 0 15 Nov 2017
Interpreting Deep Visual Representations via Network Dissection Bolei Zhou David Bau A. Oliva Antonio Torralba FAtt MILM 213 350 0 15 Nov 2017
Towards Interpretable R-CNN by Unfolding Latent Structures Tianfu Wu Wei Sun Xilai Li Xi Song Yangqiu Song ObjD 154 20 0 14 Nov 2017
D-PCN: Parallel Convolutional Networks for Image Recognition via a Discriminator Shiqi Yang G. Peng 92 2 0 12 Nov 2017
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic RetinopathyIEEE Access (IEEE Access), 2017 Devinder Kumar Graham W. Taylor Alexander Wong MedIm 110 38 0 29 Oct 2017
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence Tianlu Wang Kota Yamaguchi Vicente Ordonez 192 11 0 23 Oct 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 375 825 0 02 Oct 2017
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives Derek Doran Sarah Schulz Tarek R. Besold XAI 149 468 0 02 Oct 2017
Verifying Properties of Binarized Deep Neural Networks Nina Narodytska S. Kasiviswanathan L. Ryzhyk Shmuel Sagiv T. Walsh AAML 176 226 0 19 Sep 2017
Embedding Deep Networks into Visual Explanations Chen Ma Saeed Khorram Fuxin Li 235 28 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 362 110 0 15 Sep 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples Yinpeng Dong Hang Su Jun Zhu Fan Bao AAML 223 133 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 202 251 0 05 Aug 2017
An Analysis of Human-centered Geolocation Kaili Wang Yu-Hui Huang José Oramas Luc Van Gool Tinne Tuytelaars 161 7 0 10 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 430 2,415 0 24 Jun 2017
Patchnet: Interpretable Neural Networks for Image Classification Adityanarayanan Radhakrishnan Charles Durham Ali Soylemezoglu Caroline Uhler FAtt 215 12 0 23 May 2017
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification Vincent Andrearczyk P. Whelan 104 67 0 16 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer Vision (IJCV), 2016 Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 896 23,895 0 07 Oct 2016
Action Classification via Concepts and Attributes Amir Rosenfeld S. Ullman 179 11 0 25 May 2016