Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling

28 March 2019

Papers citing "Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling"

9 / 9 papers shown

Title
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data Michael A. Hedderich Dietrich Klakow NoLa 43 30 0 02 Jul 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 81 2,602 0 20 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 110 2,067 0 18 Apr 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 129 554 0 14 Feb 2018
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 146 2,826 0 15 Jun 2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix Bingfeng Luo Yansong Feng Zheng Wang Zhanxing Zhu Songfang Huang Rui Yan Dongyan Zhao 61 86 0 11 May 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision Andreas Veit N. Alldrin Gal Chechik Ivan Krasin Abhinav Gupta Serge J. Belongie 134 479 0 06 Jan 2017
Training Convolutional Networks with Noisy Labels Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir D. Bourdev Rob Fergus NoLa 89 272 0 09 Jun 2014
Polyglot: Distributed Word Representations for Multilingual NLP Rami Al-Rfou Bryan Perozzi Steven Skiena VLM 74 477 0 05 Jul 2013