NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks

29 August 2021

Papers citing "NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks"

36 / 36 papers shown

Title
A Comparative Analysis of Industry Human-AI Interaction Guidelines Austin P. Wright Zijie J. Wang Haekyu Park G. Guo F. Sperrle Mennatallah El-Assady Alex Endert Daniel A. Keim Duen Horng Chau 52 30 0 22 Oct 2020
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 65 449 0 10 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 47 47 0 08 Sep 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks Nilaksh Das Haekyu Park Zijie J. Wang Fred Hohman Robert Firstman Emily Rogers Duen Horng Chau AAML 49 27 0 05 Sep 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild Rahul Duggal Scott Freitas Cao Xiao Duen Horng Chau Jimeng Sun 103 22 0 29 Jan 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 119 90 0 26 Jan 2020
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning Nilaksh Das Haekyu Park Zijie J. Wang Fred Hohman Robert Firstman Emily Rogers Duen Horng Chau AAML 52 7 0 21 Jan 2020
CUP: Cluster Pruning for Compressing Deep Neural Networks Rahul Duggal Cao Xiao R. Vuduc Jimeng Sun 3DPC VLM 48 23 0 19 Nov 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 37 217 0 04 Apr 2019
On the Dimensionality of Word Embedding Zi Yin Yuanyuan Shen 46 190 0 11 Dec 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 148 2,450 0 06 Sep 2018
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 92 4,008 0 15 Jul 2018
Universal Sentence Encoder Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco ... Steve Yuan Chris Tar Yun-hsuan Sung B. Strope R. Kurzweil 427 1,903 0 29 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 154 9,409 0 09 Feb 2018
Scalable and accurate deep learning for electronic health records A. Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj ... A. Butte M. Howell Claire Cui Greg S. Corrado Jeffrey Dean OOD BDL 166 2,143 0 24 Jan 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 66 264 0 10 Jan 2018
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 209 1,837 0 30 Nov 2017
Generalization in Deep Learning Kenji Kawaguchi L. Kaelbling Yoshua Bengio ODL 86 459 0 16 Oct 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 196 2,521 0 19 Jul 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 141 1,255 0 27 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 270 19,981 0 07 Oct 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 172 2,337 0 12 Aug 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,863 0 03 Jul 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 81 5 0 30 May 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 54 329 0 11 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 855 27,350 0 02 Dec 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 122 1,871 0 22 Jun 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 242 4,667 0 21 Dec 2014
Do Convnets Learn Correspondence? Jonathan Long Ning Zhang Trevor Darrell 81 311 0 04 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 436 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,509 0 01 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,463 0 15 May 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 303 7,289 0 20 Dec 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 644 31,490 0 16 Jan 2013