MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images

24 May 2025

Papers citing "MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images"

44 / 94 papers shown

Title
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 363 522 0 05 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
3D Aggregated Faster R-CNN for General Lesion Detection Ning Zhang Yu Cao Benyuan Liu Yan Luo MedIm 68 9 0 29 Jan 2020
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale Jinzheng Cai Adam P. Harrison Youjing Zheng Ke Yan Yuankai Huo Jing Xiao Lin Yang Le Lu MedIm 96 27 0 21 Jan 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 309 803 0 05 Dec 2019
Meta Label Correction for Noisy Label Learning Guoqing Zheng Ahmed Hassan Awadallah S. Dumais NoLa OffRL 111 184 0 10 Nov 2019
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates Yang Liu Hongyi Guo NoLa 76 242 0 08 Oct 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
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection Zihao Li Shu Zhen Zhang Junge Zhang Kaiqi Huang Yizhou Wang Yizhou Yu 75 70 0 10 Sep 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 60 277 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 99 904 0 16 Aug 2019
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation K. Yan Youbao Tang Yifan Peng V. Sandfort M. Bagheri Zhiyong Lu Ronald M. Summers MedIm 49 85 0 12 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 135 1,609 0 18 Jun 2019
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences Ehsan Amid Manfred K. Warmuth Rohan Anil Tomer Koren NoLa 60 131 0 08 Jun 2019
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection Huijuan Xu Abir Das Kate Saenko 3DPC 121 47 0 05 Jun 2019
Batch weight for domain adaptation with mass shift Mikolaj Binkowski R. Devon Hjelm Aaron Courville GAN OOD 46 11 0 29 May 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 83 388 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
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 64 25 0 08 Apr 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 96 233 0 10 Feb 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Yue Liu Jinwoo Shin NoLa 97 140 0 31 Jan 2019
Dynamic Curriculum Learning for Imbalanced Data Classification Yiru Wang Weihao Gan Jie Yang Wei Wu Junjie Yan 86 222 0 21 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,291 0 16 Jan 2019
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection Ke Yan M. Bagheri Ronald M. Summers 3DV 3DPC MedIm 143 123 0 25 Jun 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 90 255 0 21 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 88 2,615 0 20 May 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 156 1,431 0 24 Mar 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks Mattias Teye Hossein Azizpour Kevin Smith BDL UQCV 172 241 0 18 Feb 2018
Class Rectification Hard Mining for Imbalanced Deep Learning Qi Dong S. Gong Xiatian Zhu 65 200 0 08 Dec 2017
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database Ke Yan Xiaosong Wang Le Lu Ling Zhang Adam P. Harrison M. Bagheri Ronald M. Summers MedIm 111 146 0 28 Nov 2017
Deep Self-Paced Learning for Person Re-Identification Sanping Zhou Jinjun Wang Deyu Meng Xiaomeng Xin Yubing Li Yihong Gong N. Zheng 85 76 0 07 Oct 2017
Learning Deep Networks from Noisy Labels with Dropout Regularization Ishan Jindal M. Nokleby Xuewen Chen NoLa 73 184 0 09 May 2017
Curriculum Dropout Pietro Morerio Jacopo Cavazza Riccardo Volpi René Vidal Vittorio Murino ODL 137 105 0 18 Mar 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
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 168 1,141 0 23 Jan 2017
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification Liang Lin Keze Wang Deyu Meng W. Zuo Lei Zhang CVBM 95 152 0 13 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 850 5,847 0 05 Dec 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 157 2,423 0 12 Apr 2016
Self-Paced Multi-Task Learning Changsheng Li Junchi Yan Fan Wei Weishan Dong Qingshan Liu H. Zha MoE LRM 83 88 0 06 Apr 2016
Resnet in Resnet: Generalizing Residual Architectures S. Targ Diogo Almeida Kevin Lyman SSeg 98 832 0 25 Mar 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 86 887 0 14 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 899 9,364 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,520 0 18 May 2015
Webly Supervised Learning of Convolutional Networks Xinlei Chen Abhinav Gupta SSL 98 373 0 07 May 2015