Multi-Objective Interpolation Training for Robustness to Label Noise

8 December 2020

Papers citing "Multi-Objective Interpolation Training for Robustness to Label Noise"

22 / 72 papers shown

Title
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 48 17 0 21 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 22 2 0 17 Aug 2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 27 29 0 05 Aug 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen J. Zhao 24 54 0 21 Jul 2022
A Study of Deep CNN Model with Labeling Noise Based on Granular-ball Computing Dawei Dai Donggen Li Zhiguo Zhuang NoLa 11 0 0 17 Jul 2022
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching Mario Almagro David Jiménez-Cabello Diego Ortego Emilio Almazán Eva Martínez 19 3 0 05 Jul 2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets Paul Albert Eric Arazo Noel E. O'Connor Kevin McGuinness 21 8 0 04 Jul 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Saeed Mian M. Shah NoLa 30 98 0 28 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 21 172 0 08 Mar 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 39 3 0 09 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 38 75 0 04 Feb 2022
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection Seong Min Kye Kwanghee Choi Joonyoung Yi Buru Chang NoLa 33 15 0 29 Nov 2021
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling Dat T. Huynh Jason Kuen Zhe-nan Lin Jiuxiang Gu Ehsan Elhamifar ISeg VLM 22 83 0 24 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 19 18 0 22 Nov 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 27 18 0 22 Oct 2021
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization Marin Scalbert Maria Vakalopoulou Florent Couzinié-Devy 16 19 0 30 Jun 2021
A Framework using Contrastive Learning for Classification with Noisy Labels Madalina Ciortan R. Dupuis Thomas Peel VLM NoLa 21 12 0 19 Apr 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 31 34 0 21 Mar 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 175 685 0 10 Oct 2020
Reliable Label Bootstrapping for Semi-Supervised Learning Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness SSL 16 5 0 23 Jul 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 316 498 0 05 Mar 2020