Diagnosing Concept Drift with Visual Analytics

28 July 2020

Papers citing "Diagnosing Concept Drift with Visual Analytics"

21 / 21 papers shown

Title
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 77 221 0 21 Aug 2020
Learning under Concept Drift: A Review Jie Lu Anjin Liu Fan Dong Feng Gu João Gama Guangquan Zhang AI4TS 65 1,282 0 13 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples Changjian Chen Jun Yuan Yafeng Lu Yang Liu Hang Su Songtao Yuan Shixia Liu OODD 53 65 0 08 Feb 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 122 90 0 26 Jan 2020
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics Yuxin Ma Tiankai Xie Jundong Li Ross Maciejewski AAML 41 67 0 17 Jul 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 79 492 0 09 Jul 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 43 217 0 04 Apr 2019
Recent Research Advances on Interactive Machine Learning Liu Jiang Shixia Liu Changjian Chen AI4CE VLM 54 80 0 12 Nov 2018
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation Minsuk Kahng Nikhil Thorat Duen Horng Chau F. Viégas Martin Wattenberg HAI GAN 48 172 0 05 Sep 2018
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models Jiawei Zhang Yang Wang Piero Molino Lezhi Li D. Ebert FAtt 48 204 0 01 Aug 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 62 215 0 17 Jul 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 67 252 0 28 May 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt Sebastian Gehrmann M. Behrisch Adam Perer Hanspeter Pfister Alexander M. Rush VLM HAI 54 240 0 25 Apr 2018
Visual Analytics for Explainable Deep Learning Jaegul Choo Shixia Liu HAI XAI 58 236 0 07 Apr 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 70 540 0 21 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 88 1,622 0 19 Dec 2017
Understanding Hidden Memories of Recurrent Neural Networks Yao Ming Shaozu Cao Ruixiang Zhang Zerui Li Yuanzhe Chen Yangqiu Song Huamin Qu HAI 40 200 0 30 Oct 2017
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 175 213 0 17 Oct 2017
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 80 475 0 24 Apr 2016
Characterizing Concept Drift Geoffrey I. Webb Roy Hyde Hong Cao Hai-Long Nguyen F. Petitjean 44 422 0 12 Nov 2015