Training Deep Neural Networks on Noisy Labels with Bootstrapping

20 December 2014

Papers citing "Training Deep Neural Networks on Noisy Labels with Bootstrapping"

50 / 166 papers shown

Title
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 20 7 0 02 Oct 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong S. Hoi 23 94 0 17 Sep 2020
Data-driven Meta-set Based Fine-Grained Visual Classification Chuanyi Zhang Yazhou Yao Xiangbo Shu Zechao Li Zhenmin Tang Qi Wu NoLa 16 2 0 06 Aug 2020
Salvage Reusable Samples from Noisy Data for Robust Learning Zeren Sun Xiansheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu Jian Andrew Zhang NoLa 21 41 0 06 Aug 2020
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection Jing Zhang Jianwen Xie Nick Barnes NoLa 50 57 0 23 Jul 2020
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection Cong Chen Shouyang Dong Ye Tian K. Cao Li Liu Yuanhao Guo 28 28 0 13 Jul 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 22 38 0 11 Jul 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Mingming Gong Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 11 67 0 14 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 19 294 0 09 Jun 2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation Jingyang Zhang Guotai Wang Hongzhi Xie Shuyang Zhang Ning Huang Shaoting Zhang Lixu Gu 24 41 0 27 May 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 60 32 0 15 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 307 497 0 05 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher S. Hoi ObjD NoLa 52 28 0 03 Mar 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 21 104 0 11 Jan 2020
Disentanglement based Active Learning S. SilpaV K. Adarsh S. Sumitra DRL 13 0 0 15 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis Yifan Zhang Ying Wei P. Zhao Shuaicheng Niu Qingyao Wu Mingkui Tan Junzhou Huang OOD 18 144 0 17 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 36 673 0 31 Oct 2019
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 17 28 0 22 Oct 2019
Self-Correction for Human Parsing Peike Li Yunqiu Xu Yunchao Wei Yezhou Yang 16 324 0 22 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 28 308 0 04 Oct 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 14 265 0 19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 25 874 0 16 Aug 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks Peixiang Zhong Di Wang C. Miao 23 513 0 18 Jul 2019
Supervised Classifiers for Audio Impairments with Noisy Labels Chandan K. A. Reddy Ross Cutler J. Gehrke NoLa 19 4 0 03 Jul 2019
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping Joel Mathew Shobeir Fakhraei J. Ambite 27 14 0 01 Jun 2019
Combating Label Noise in Deep Learning Using Abstention S. Thulasidasan Tanmoy Bhattacharya J. Bilmes Gopinath Chennupati J. Mohd-Yusof NoLa 19 177 0 27 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 25 602 0 25 Apr 2019
Ranking-Based Autoencoder for Extreme Multi-label Classification Bingyu Wang Li-Wei Chen Wei Sun Kechen Qin Kefeng Li Hui Zhou 20 15 0 11 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 11 24 0 08 Apr 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David A. Clifton N. Robertson NoLa 24 62 0 28 Mar 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li Mahdi Soltanolkotabi Samet Oymak NoLa 26 350 0 27 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 25 409 0 19 Mar 2019
An Effective Label Noise Model for DNN Text Classification Ishan Jindal Daniel Pressel Brian Lester M. Nokleby NoLa 18 48 0 18 Mar 2019
Less is More: Learning Highlight Detection from Video Duration Bo Xiong Yannis Kalantidis Deepti Ghadiyaram Kristen Grauman 6 108 0 03 Mar 2019
A semi-supervised deep residual network for mode detection in Wi-Fi signals Arash Kalatian Bilal Farooq HAI 17 10 0 17 Feb 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 13 227 0 10 Feb 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels Eduardo Fonseca Manoj Plakal D. Ellis F. Font Xavier Favory Xavier Serra NoLa 18 110 0 04 Jan 2019
Learning to Fuse Things and Stuff Jie Li Allan Raventos Arjun Bhargava Takaaki Tagawa Adrien Gaidon 25 104 0 04 Dec 2018
Learning Sound Events From Webly Labeled Data Anurag Kumar Ankit Parag Shah Bhiksha Raj Alexander G. Hauptmann NoLa 15 12 0 25 Nov 2018
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 21 13 0 20 Nov 2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 13 39 0 02 Oct 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 27 85 0 31 Aug 2018
A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels Shaobo Min X. Chen Zhengjun Zha Feng Wu Yongdong Zhang 15 79 0 31 Jul 2018
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 14 135 0 04 Jul 2018
Imperfect Segmentation Labels: How Much Do They Matter? N. Heller Joshua Dean Nikolaos Papanikolopoulos 22 37 0 12 Jun 2018
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 18 424 0 07 Jun 2018
Deep Facial Expression Recognition: A Survey Shan Li Weihong Deng 128 1,279 0 23 Apr 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 35 2,025 0 18 Apr 2018