Probabilistic End-to-end Noise Correction for Learning with Noisy Labels

19 March 2019

Papers citing "Probabilistic End-to-end Noise Correction for Learning with Noisy Labels"

36 / 86 papers shown

Title
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 30 18 0 22 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 40 39 0 14 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 29 104 0 07 Oct 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 22 32 0 11 Sep 2021
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training A. Gómez-Ríos Julián Luengo Francisco Herrera OOD NoLa 19 0 0 08 Sep 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 11 80 0 25 Aug 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach Zeren Sun Yazhou Yao Xiu-Shen Wei Yongshun Zhang Fumin Shen Jianxin Wu Jian Zhang Heng Tao Shen 28 55 0 05 Aug 2021
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations Darshan Gera B. S 13 7 0 10 Jul 2021
Predicting Disease Progress with Imprecise Lab Test Results Mei Wang Jianwen Su Zhi-kai Lin 10 0 0 08 Jul 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 28 29 0 29 Jun 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion Xian-Jin Gui Wei Wang Zhang-Hao Tian NoLa 27 44 0 17 Jun 2021
Boosting Co-teaching with Compression Regularization for Label Noise Yingyi Chen Xin Shen S. Hu Johan A. K. Suykens NoLa 42 45 0 28 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 26 6 0 01 Apr 2021
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition Jiahui She Yibo Hu Hailin Shi Jun Wang Qiu Shen Tao Mei 25 186 0 01 Apr 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 33 133 0 24 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 11 77 0 06 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 24 3 0 01 Mar 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 241 509 0 15 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification A. Aksoy Mahdyar Ravanbakhsh Begüm Demir 27 24 0 19 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 24 112 0 09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 27 112 0 08 Dec 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 24 54 0 07 Nov 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 30 30 0 20 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong S. Hoi 26 94 0 17 Sep 2020
Salvage Reusable Samples from Noisy Data for Robust Learning Zeren Sun Xiansheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu Jian Zhang NoLa 29 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
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 24 294 0 09 Jun 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 60 33 0 15 Mar 2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks Majed El Helou Frederike Dumbgen Sabine Süsstrunk CLL AI4CE 30 2 0 07 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher S. Hoi ObjD NoLa 62 28 0 03 Mar 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 18 535 0 05 Dec 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 14 112 0 19 Nov 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 19 24 0 08 Apr 2019