CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

30 April 2020

Papers citing "CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization"

22 / 22 papers shown

Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 155 1 0 14 Apr 2025
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing Po-Wei Tang Chia-Hsiang Lin Yangrui Liu 93 6 0 03 Jan 2025
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 109 89 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 37 7 0 21 Jan 2020
CNN 101: Interactive Visual Learning for Convolutional Neural Networks Zijie J. Wang Robert Turko Omar Shaikh Haekyu Park Nilaksh Das Fred Hohman Minsuk Kahng Duen Horng Chau SSL HAI FAtt 37 25 0 07 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 277 42,038 0 03 Dec 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 37 215 0 04 Apr 2019
TensorFlow.js: Machine Learning for the Web and Beyond D. Smilkov Nikhil Thorat Yannick Assogba Ann Yuan Nick Kreeger ... D. Sculley R. Monga G. Corrado F. Viégas Martin Wattenberg 63 173 0 16 Jan 2019
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation Minsuk Kahng Nikhil Thorat Duen Horng Chau F. Viégas Martin Wattenberg HAI GAN 33 170 0 05 Sep 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 65 538 0 21 Jan 2018
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 121 212 0 17 Oct 2017
Direct-Manipulation Visualization of Deep Networks D. Smilkov Shan Carter D. Sculley F. Viégas Martin Wattenberg FAtt AI4CE 48 140 0 12 Aug 2017
Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep Learning Andrew P. Norton Yanjun Qi AAML 38 47 0 01 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models Minsuk Kahng Pierre Yves Andrews Aditya Kalro Duen Horng Chau HAI 47 323 0 06 Apr 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 269 4,620 0 10 Nov 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 338 18,300 0 27 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 69 473 0 24 Apr 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 124 5,184 0 22 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 99 1,866 0 22 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 954 99,991 0 04 Sep 2014