Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

44 / 294 papers shown

Title
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 41 446 0 21 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans T. Ho-Phuoc 11 41 0 18 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 21 2 0 09 Nov 2018
Semantic bottleneck for computer vision tasks Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 22 15 0 06 Nov 2018
Identifying and Controlling Important Neurons in Neural Machine Translation A. Bau Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass MILM 21 180 0 03 Nov 2018
Brand > Logo: Visual Analysis of Fashion Brands M. Kiapour Robinson Piramuthu 21 7 0 23 Oct 2018
Interpreting Layered Neural Networks via Hierarchical Modular Representation C. Watanabe 21 19 0 03 Oct 2018
Training Machine Learning Models by Regularizing their Explanations A. Ross FaML 26 0 0 29 Sep 2018
A theoretical framework for deep locally connected ReLU network Yuandong Tian PINN 25 10 0 28 Sep 2018
Faithful Multimodal Explanation for Visual Question Answering Jialin Wu Raymond J. Mooney 20 90 0 08 Sep 2018
XAI Beyond Classification: Interpretable Neural Clustering Xi Peng Yunfan Li Ivor W. Tsang Erik Cambria Jiancheng Lv Qiufeng Wang 29 74 0 22 Aug 2018
Unsupervised learning of foreground object detection Ioana Croitoru Simion-Vlad Bogolin Marius Leordeanu OCL 28 48 0 14 Aug 2018
Improving Shape Deformation in Unsupervised Image-to-Image Translation Aaron Gokaslan Vivek Ramanujan Daniel E. Ritchie K. Kim James Tompkin 21 75 0 13 Aug 2018
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance Ramprasaath R. Selvaraju Prithvijit Chattopadhyay Mohamed Elhoseiny Tilak Sharma Dhruv Batra Devi Parikh Stefan Lee 38 35 0 08 Aug 2018
Parallel Convolutional Networks for Image Recognition via a Discriminator Shiqi Yang G. Peng 20 3 0 06 Jul 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 59 1,159 0 27 Jun 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 32 434 0 14 Jun 2018
Revisiting the Importance of Individual Units in CNNs via Ablation Bolei Zhou Yiyou Sun David Bau Antonio Torralba FAtt 59 115 0 07 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 40 1,842 0 31 May 2018
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation Jimmy Wu Bolei Zhou D. Peck S. Hsieh V. Dialani Lester W. Mackey Genevieve Patterson FAtt MedIm 20 24 0 31 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
Understanding Community Structure in Layered Neural Networks C. Watanabe Kaoru Hiramatsu K. Kashino 19 22 0 13 Apr 2018
Unsupervised Discovery of Object Landmarks as Structural Representations Y. Zhang Yijie Guo Yixin Jin Yijun Luo Zhiyuan He Honglak Lee OCL 41 194 0 12 Apr 2018
Learning-based Video Motion Magnification Tae-Hyun Oh Ronnachai Jaroensri Changil Kim Mohamed A. Elgharib F. Durand William T. Freeman Wojciech Matusik 51 152 0 08 Apr 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 27 329 0 19 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 13 504 0 13 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 50 1,306 0 12 Mar 2018
The Challenge of Crafting Intelligible Intelligence Daniel S. Weld Gagan Bansal 26 241 0 09 Mar 2018
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 35 189 0 26 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 32 51 0 02 Feb 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 17 810 0 02 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 26 15 0 30 Jan 2018
Can Computers Create Art? Aaron Hertzmann 29 148 0 13 Jan 2018
What have we learned from deep representations for action recognition? Christoph Feichtenhofer A. Pinz Richard P. Wildes Andrew Zisserman SSL 31 47 0 04 Jan 2018
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning Andrew Owens Jiajun Wu Josh H. McDermott William T. Freeman Antonio Torralba SSL 41 177 0 20 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 77 1,800 0 30 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 37 25 0 15 Nov 2017
Interpreting Deep Visual Representations via Network Dissection Bolei Zhou David Bau A. Oliva Antonio Torralba FAtt MILM 29 323 0 15 Nov 2017
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy Devinder Kumar Graham W. Taylor Alexander Wong MedIm 13 35 0 29 Oct 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples Yinpeng Dong Hang Su Jun Zhu Fan Bao AAML 39 128 0 18 Aug 2017
An Analysis of Human-centered Geolocation Kaili Wang Yu-Hui Huang José Oramas Luc Van Gool Tinne Tuytelaars 29 6 0 10 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 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 83 19,634 0 07 Oct 2016
Do semantic parts emerge in Convolutional Neural Networks? Abel Gonzalez-Garcia Davide Modolo V. Ferrari 158 113 0 13 Jul 2016