Joint Optimization Framework for Learning with Noisy Labels

30 March 2018

Papers citing "Joint Optimization Framework for Learning with Noisy Labels"

42 / 392 papers shown

Title
NLNL: Negative Learning for Noisy LabelsIEEE International Conference on Computer Vision (ICCV), 2019 Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 173 318 0 19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy LabelsIEEE International Conference on Computer Vision (ICCV), 2019 Yisen Wang Jiabo He Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 343 1,041 0 16 Aug 2019
Improved Mix-up with KL-Entropy for Learning From Noisy Labels Qian Zhang Feifei Lee Ya-Gang Wang Qiu Chen NoLa 51 0 0 15 Aug 2019
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social MediaACM Multimedia (ACM MM), 2019 Yunshan Ma Xun Yang Lizi Liao Yixin Cao Tat-Seng Chua 158 52 0 12 Aug 2019
Object-Aware Instance Labeling for Weakly Supervised Object DetectionIEEE International Conference on Computer Vision (ICCV), 2019 Satoshi Kosugi T. Yamasaki Kiyoharu Aizawa WSOD 209 58 0 10 Aug 2019
Repetitive Reprediction Deep Decipher for Semi-Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2019 G. Wang Jianxin Wu 85 33 0 09 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised LearningIEEE International Joint Conference on Neural Network (IJCNN), 2019 Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 600 978 0 08 Aug 2019
Deep Self-Learning From Noisy LabelsIEEE International Conference on Computer Vision (ICCV), 2019 Jiangfan Han Ping Luo Xiaogang Wang NoLa 321 306 0 06 Aug 2019
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 Haidong Zhu Jialin Shi Ji Wu NoLa 121 71 0 27 Jul 2019
Product Image Recognition with Guidance Learning and Noisy SupervisionComputer Vision and Image Understanding (CVIU), 2019 Qing Li Xiaojiang Peng Liangliang Cao Wenbin Du Hao Xing Yu Qiao NoLa 98 21 0 26 Jul 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural NetworksIEEE Transactions on Affective Computing (TAC), 2019 Peixiang Zhong Haiyan Zhao Chunyan Miao 333 657 0 18 Jul 2019
Supervised Classifiers for Audio Impairments with Noisy LabelsInterspeech (Interspeech), 2019 Chandan K. A. Reddy Ross Cutler J. Gehrke NoLa 96 4 0 03 Jul 2019
Learning from Web Data with Self-Organizing Memory ModuleComputer Vision and Pattern Recognition (CVPR), 2019 Y. Tu Li Niu Junjie Chen Dawei Cheng Liqing Zhang 336 25 0 28 Jun 2019
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 135 8 0 13 Jun 2019
Are Anchor Points Really Indispensable in Label-Noise Learning?Neural Information Processing Systems (NeurIPS), 2019 Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 254 423 0 01 Jun 2019
Derivative Manipulation for General Example Weighting Xinshao Wang Elyor Kodirov Yang Hua N. Robertson NoLa 368 1 0 27 May 2019
Curriculum Loss: Robust Learning and Generalization against Label CorruptionInternational Conference on Learning Representations (ICLR), 2019 Yueming Lyu Ivor W. Tsang NoLa 272 185 0 24 May 2019
Countering Noisy Labels By Learning From Auxiliary Clean Labels Tsung Wei Tsai Chongxuan Li Jun Zhu SSL 153 1 0 23 May 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy LabelsInternational Conference on Machine Learning (ICML), 2019 Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 263 422 0 13 May 2019
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction Jaehwan Lee Donggeon Yoo J. Y. Huh Hyo-Eun Kim NoLa 123 24 0 08 May 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation Takuhiro Kaneko Tatsuya Harada 130 3 0 06 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 381 685 0 25 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 205 29 0 08 Apr 2019
A Robust Learning Approach to Domain Adaptive Object Detection Mehran Khodabandeh Arash Vahdat Mani Ranjbar W. Macready ObjD OOD TTA 227 263 0 04 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 Clifton N. Robertson NoLa 559 66 0 28 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy LabelsComputer Vision and Pattern Recognition (CVPR), 2019 Kun Yi Jianxin Wu NoLa 262 463 0 19 Mar 2019
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision Jiangchao Yao Ya Zhang Ivor W. Tsang Jun-wei Sun NoLa 105 1 0 06 Mar 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator ConfusionComputer Vision and Pattern Recognition (CVPR), 2019 Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 359 265 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 147 118 0 23 Jan 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 374 898 0 14 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 191 121 0 04 Jan 2019
Learning to Learn from Noisy Labeled Data Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli NoLa 303 352 0 13 Dec 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 243 69 0 27 Nov 2018
Learning Sound Events From Webly Labeled DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2018 Anurag Kumar Ankit Parag Shah Bhiksha Raj Alexander G. Hauptmann NoLa 173 13 0 25 Nov 2018
Limited Gradient Descent: Learning With Noisy LabelsIEEE Access (IEEE Access), 2018 Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 210 13 0 20 Nov 2018
Semi-Supervised Semantic Image Segmentation with Self-correcting NetworksComputer Vision and Pattern Recognition (CVPR), 2018 Mostafa S. Ibrahim Arash Vahdat Mani Ranjbar W. Macready 222 89 0 17 Nov 2018
Improving Multi-Person Pose Estimation using Label Correction A. Bernstein Tianqi Li Kohei Nishino Yusuke Uchida 3DH 91 11 0 08 Nov 2018
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification Jia Li Yafei Song Jian-Qi Zhu Lele Cheng Ying Su Lin Ye P. Yuan Shumin Han NoLa 122 25 0 02 Nov 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 181 270 0 21 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 1.2K 2,980 0 20 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsNeural Information Processing Systems (NeurIPS), 2018 Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 393 2,374 0 18 Apr 2018
Learning with Bounded Instance- and Label-dependent Label Noise Jiacheng Cheng Tongliang Liu K. Ramamohanarao Dacheng Tao NoLa 235 156 0 12 Sep 2017