GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation

5 September 2018

Papers citing "GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation"

21 / 71 papers shown

Title
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images Xinyi Huang Suphanut Jamonnak Ye Zhao Boyu Wang Minh Hoai Kevin Yager Wei Xu 41 5 0 03 Sep 2020
Towards Evaluating Exploratory Model Building Process with AutoML Systems Sungsoo Ray Hong Sonia Castelo Vito DÓrazio Christopher Bethune Aécio Santos Scott Langevin D. Jonker E. Bertini J. Freire HAI 40 4 0 01 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 95 223 0 21 Aug 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 94 34 0 28 Jul 2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization Zijie J. Wang Robert Turko Omar Shaikh Haekyu Park Nilaksh Das Fred Hohman Minsuk Kahng Duen Horng Chau HAI FAtt 111 252 0 30 Apr 2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models Qianwen Wang W. Alexander J. Pegg Huamin Qu Min Chen VLM 63 10 0 12 Feb 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 132 91 0 26 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 843 0 20 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 78 26 0 07 Jan 2020
Visual Evaluation of Generative Adversarial Networks for Time Series Data Hiba Arnout J. Kehrer Johanna Bronner Thomas Runkler AI4TS EGVM 45 9 0 23 Dec 2019
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion A. Hinterreiter Peter Ruch Holger Stitz Martin Ennemoser J. Bernard Hendrik Strobelt M. Streit 83 46 0 02 Oct 2019
SANVis: Visual Analytics for Understanding Self-Attention Networks Cheonbok Park Inyoup Na Yongjang Jo Sungbok Shin J. Yoo Bum Chul Kwon Jian Zhao Hyungjong Noh Yeonsoo Lee Jaegul Choo HAI 70 40 0 13 Sep 2019
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures Dylan Cashman Adam Perer Remco Chang Hendrik Strobelt KELM 72 29 0 30 Jul 2019
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Thilo Spinner U. Schlegel H. Schäfer Mennatallah El-Assady HAI 76 239 0 29 Jul 2019
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics Yuxin Ma Tiankai Xie Jundong Li Ross Maciejewski AAML 88 67 0 17 Jul 2019
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation Subhashis Hazarika Haoyu Li Ko-Chih Wang Han-Wei Shen Ching-Shan Chou 94 20 0 19 Apr 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 99 217 0 04 Apr 2019
Net2Vis -- A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations Alex Bauerle Christian van Onzenoodt Timo Ropinski GNN 62 12 0 11 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 173 2,321 0 17 Jan 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 118 174 0 16 Jan 2019
Analyzing the Noise Robustness of Deep Neural Networks Mengchen Liu Shixia Liu Hang Su Kelei Cao Jun Zhu AAML 70 7 0 09 Oct 2018