Improve Learning from Crowds via Generative Augmentation

22 July 2021

Papers citing "Improve Learning from Crowds via Generative Augmentation"

21 / 21 papers shown

Title
Mixture of Experts based Multi-task Supervise Learning from Crowds Tao Han Huaixuan Shi Xinyi Ding Xiao Ma Huamao Gu Yili Fang 56 0 0 18 Jul 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 253 30,108 0 01 Mar 2022
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training Athirai Aravazhi Irissappane Hanfei Yu Yankun Shen Anubha Agrawal Gray Stanton 31 9 0 24 Dec 2020
Learning from Crowds by Modeling Common Confusions Zhendong Chu Jing Ma Hongning Wang NoLa 31 47 0 24 Dec 2020
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights Hrayr Harutyunyan Kyle Reing Greg Ver Steeg Aram Galstyan NoLa 30 55 0 19 Feb 2020
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 57 302 0 19 Aug 2019
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds Peng Cao Yilun Xu Yuqing Kong Yizhou Wang 35 55 0 31 May 2019
Neural Message Passing for Multi-Label Classification Jack Lanchantin Arshdeep Sekhon Yanjun Qi 57 38 0 17 Apr 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 77 231 0 10 Feb 2019
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model Hideaki Imamura Issei Sato Masashi Sugiyama 41 25 0 13 Feb 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 79 624 0 22 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 129 1,071 0 12 Nov 2017
Deep learning from crowds Filipe Rodrigues Francisco Câmara Pereira FedML NoLa 45 257 0 06 Sep 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 110 1,256 0 07 Jun 2017
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang 73 600 0 30 May 2017
Who Said What: Modeling Individual Labelers Improves Classification M. Guan Varun Gulshan Andrew M. Dai Geoffrey E. Hinton NoLa 42 226 0 26 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 602 28,999 0 09 Sep 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
Semi-Supervised Learning with Generative Adversarial Networks Augustus Odena GAN 66 682 0 05 Jun 2016
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 82 746 0 19 Nov 2015
Near-Optimally Teaching the Crowd to Classify Adish Singla Ilija Bogunovic Gábor Bartók Amin Karbasi Andreas Krause 56 127 0 10 Feb 2014