Deep Learning with Label Noise: A Hierarchical Approach

28 May 2022

Hayden S. Helm

Carey E. Priebe

Papers citing "Deep Learning with Label Noise: A Hierarchical Approach"

39 / 39 papers shown

Title
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 70 15 0 22 Mar 2021
Inducing a hierarchy for multi-class classification problems Hayden S. Helm Weiwei Yang Sujeeth Bharadwaj Kate Lytvynets Oriana Riva Christopher M. White Ali Geisa Carey E. Priebe 46 7 0 20 Feb 2021
Robust Deep Learning with Active Noise Cancellation for Spatial Computing Li Chen David Yang Purvi Goel I. Kabul 33 2 0 16 Nov 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 117 998 0 16 Jul 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 79 38 0 11 Jul 2020
Label Noise Types and Their Effects on Deep Learning G. Algan ilkay Ulusoy NoLa 78 53 0 23 Mar 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 120 34 0 15 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 110 1,036 0 18 Feb 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 88 333 0 11 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 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 85 317 0 04 Oct 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 96 904 0 16 Aug 2019
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 114 172 0 24 May 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 80 388 0 13 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 102 617 0 25 Apr 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 89 727 0 28 Jan 2019
On Symmetric Losses for Learning from Corrupted Labels Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama NoLa 82 105 0 27 Jan 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 82 787 0 14 Jan 2019
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 85 2,615 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 132 2,082 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 134 556 0 14 Feb 2018
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels Yifan Ding Liqiang Wang Deliang Fan Boqing Gong NoLa 63 103 0 08 Feb 2018
Robust Loss Functions under Label Noise for Deep Neural Networks Aritra Ghosh Himanshu Kumar P. Sastry NoLa OOD 80 959 0 27 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 133 1,459 0 14 Dec 2017
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 73 198 0 27 Nov 2017
B-CNN: Branch Convolutional Neural Network for Hierarchical Classification Xinqi Zhu Michael Bain 175 152 0 28 Sep 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 138 1,829 0 16 Jun 2017
Decoupling "when to update" from "how to update" Eran Malach Shai Shalev-Shwartz NoLa 104 569 0 08 Jun 2017
Learning Deep Networks from Noisy Labels with Dropout Regularization Ishan Jindal M. Nokleby Xuewen Chen NoLa 73 184 0 09 May 2017
Learning from Noisy Labels with Distillation Yuncheng Li Jianchao Yang Yale Song Liangliang Cao Jiebo Luo Li Li NoLa 92 550 0 07 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 524 10,358 0 16 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 125 1,459 0 13 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Auxiliary Image Regularization for Deep CNNs with Noisy Labels S. Azadi Jiashi Feng Stefanie Jegelka Trevor Darrell NoLa 89 89 0 22 Nov 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,894 0 20 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 103 1,303 0 23 Apr 2014
Making Risk Minimization Tolerant to Label Noise Aritra Ghosh Naresh Manwani P. Sastry NoLa 163 215 0 14 Mar 2014
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 201 277 0 24 Sep 2011