Inspector Gadget: A Data Programming-based Labeling System for
Industrial Images

Inspector Gadget: A Data Programming-based Labeling System for Industrial Images

7 April 2020

Seonghyeon Hwang

Steven Euijong Whang

Papers citing "Inspector Gadget: A Data Programming-based Labeling System for Industrial Images"

17 / 17 papers shown

Title
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy Zhengwei Wang Qi She T. Ward MedIm EGVM 97 90 0 04 Jun 2019
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection Domen Tabernik Samo Sela J. Skvarc D. Skočaj 49 692 0 20 Mar 2019
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 79 67 0 14 Mar 2019
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale Stephen H. Bach Daniel Rodríguez Yintao Liu Chong Luo Haidong Shao ... Braden Hancock H. Alborzi Rahul Kuchhal Christopher Ré Rob Malkin 66 145 0 02 Dec 2018
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective Yuji Roh A. Mishra Steven Euijong Whang 63 680 0 08 Nov 2018
The relativistic discriminator: a key element missing from standard GAN Alexia Jolicoeur-Martineau GAN 55 974 0 02 Jul 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 118 1,771 0 24 May 2018
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data Arghya Pal V. Balasubramanian 37 15 0 14 Mar 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification Maayan Frid-Adar I. Diamant Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan GAN MedIm 72 1,558 0 03 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,433 0 16 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 169 19,204 0 13 Jan 2018
Inferring Generative Model Structure with Static Analysis P. Varma Bryan D. He Payal Bajaj Imon Banerjee Nishith Khandwala D. Rubin Christopher Ré 37 58 0 07 Sep 2017
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 164 714 0 25 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.0K 193,426 0 10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 469 62,122 0 04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
Active Learning for Crowd-Sourced Databases Barzan Mozafari Purnamrita Sarkar Michael Franklin Michael I. Jordan Samuel Madden FedML HAI 63 50 0 17 Sep 2012

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