Learning From Noisy Large-Scale Datasets With Minimal Supervision

6 January 2017

Papers citing "Learning From Noisy Large-Scale Datasets With Minimal Supervision"

37 / 87 papers shown

Title
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 18 18 0 17 Jun 2020
Provable Training Set Debugging for Linear Regression Xiaomin Zhang Xiaojin Zhu Po-Ling Loh 24 0 0 16 Jun 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Biwei Huang Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 13 67 0 14 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
Deep Residual Correction Network for Partial Domain Adaptation Shuang Li Chi Harold Liu Qiuxia Lin Qi Wen Limin Su Gao Huang Zhengming Ding 19 145 0 10 Apr 2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá David Ifeoluwa Adelani Michael A. Hedderich D. Zhu Esther van den Berg Dietrich Klakow 14 11 0 18 Mar 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 65 33 0 15 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher Guosheng Lin ObjD NoLa 62 28 0 03 Mar 2020
Suppressing Uncertainties for Large-Scale Facial Expression Recognition Kai Wang Xiaojiang Peng Jianfei Yang Shijian Lu Yu Qiao 43 482 0 24 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 24 78 0 24 Feb 2020
Object Detection as a Positive-Unlabeled Problem Yuewei Yang Kevin J Liang Lawrence Carin 21 37 0 11 Feb 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Yixiao Ge Dapeng Chen Hongsheng Li 33 555 0 06 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 88 2,362 0 11 Nov 2019
Learning Category Correlations for Multi-label Image Recognition with Graph Networks Qing Li Xiaojiang Peng Yu Qiao Qiang Peng 34 22 0 28 Sep 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 17 265 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 39 875 0 16 Aug 2019
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation Haidong Zhu Jialin Shi Ji Wu NoLa 24 65 0 27 Jul 2019
Learning to Segment Skin Lesions from Noisy Annotations Z. Mirikharaji Yiqi Yan Ghassan Hamarneh 38 77 0 10 Jun 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 11 369 0 01 Jun 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 44 602 0 25 Apr 2019
A Robust Learning Approach to Domain Adaptive Object Detection Mehran Khodabandeh Arash Vahdat Mani Ranjbar W. Macready ObjD OOD TTA 16 245 0 04 Apr 2019
An Effective Label Noise Model for DNN Text Classification Ishan Jindal Daniel Pressel Brian Lester M. Nokleby NoLa 32 48 0 18 Mar 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 27 228 0 10 Feb 2019
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification Cheng Xue Qi Dou Xueying Shi Hao Chen Pheng Ann Heng NoLa 19 104 0 23 Jan 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels Eduardo Fonseca Manoj Plakal D. Ellis F. Font Xavier Favory Xavier Serra NoLa 31 110 0 04 Jan 2019
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 35 13 0 20 Nov 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images Sheng Guo Weilin Huang Haozhi Zhang Chenfan Zhuang Dengke Dong Matthew R. Scott Dinglong Huang SSL 32 339 0 03 Aug 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 27 136 0 04 Jul 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 35 425 0 07 Jun 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 359 37 0 15 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 58 2,028 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 35 546 0 14 Feb 2018
Separating Self-Expression and Visual Content in Hashtag Supervision Andreas Veit Maximilian Nickel Serge J. Belongie L. V. D. van der Maaten VLM 20 29 0 27 Nov 2017
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 26 193 0 27 Nov 2017
Deep Learning is Robust to Massive Label Noise David Rolnick Andreas Veit Serge J. Belongie Nir Shavit NoLa 36 548 0 30 May 2017
Learning Visual N-Grams from Web Data Ang Li Allan Jabri Armand Joulin L. V. D. van der Maaten VLM 20 136 0 29 Dec 2016