Combating noisy labels by agreement: A joint training method with co-regularization

5 March 2020

Papers citing "Combating noisy labels by agreement: A joint training method with co-regularization"

50 / 245 papers shown

Title
Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim Jae Myung Kim Zeynep Akata Jungwook Lee NoLa 32 47 0 08 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De-Chun Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 39 65 0 06 Jun 2022
Hyperspherical Consistency Regularization Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 33 25 0 02 Jun 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 19 2 0 29 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 32 3 0 25 May 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Dinesh Manocha Guodong Long Bo Han Jing Jiang FedML 27 19 0 20 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 32 49 0 04 May 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model Heesun Bae Seung-Jae Shin Byeonghu Na Joonho Jang Kyungwoo Song Il-Chul Moon NoLa 28 26 0 02 May 2022
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning Nazmul Karim Umar Khalid Ashkan Esmaeili Nazanin Rahnavard NoLa CLL 33 15 0 21 Apr 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin Hongteng Xu Canqian Yang Yi Xu 27 24 0 20 Apr 2022
Agreement or Disagreement in Noise-tolerant Mutual Learning? Jiarun Liu Daguang Jiang Yukun Yang Ruirui Li NoLa 23 2 0 29 Mar 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
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation Yongliang Ding Tao Zhou Chuang Zhang Yijing Luo Juan Tang Chen Gong NoLa 24 4 0 21 Mar 2022
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation Junwen Pan Qi Bi Yanzhan Yang Pengfei Zhu Cheng Bian 21 21 0 10 Mar 2022
On Learning Contrastive Representations for Learning with Noisy Labels Linya Yi Sheng Liu Qi She A. McLeod Boyu Wang NoLa 11 40 0 03 Mar 2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification Chen Gong K. Bin E. Seibel Xin Wang Youbing Yin Qi Song NoLa 25 2 0 27 Feb 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 31 0 0 26 Feb 2022
ASSIST: Towards Label Noise-Robust Dialogue State Tracking Fanghua Ye Yue Feng Emine Yilmaz 21 21 0 26 Feb 2022
Tripartite: Tackle Noisy Labels by a More Precise Partition Xuefeng Liang Longshan Yao Xingyu Liu Ying Zhou NoLa 24 9 0 19 Feb 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
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Anton van den Hengel NoLa 25 43 0 04 Feb 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 32 37 0 02 Feb 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings Qiyu Wu Chongyang Tao Tao Shen Can Xu Xiubo Geng Daxin Jiang SSL 21 33 0 28 Jan 2022
CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection Cheng Ma Xingjia Pan QiXiang Ye Fan Tang Weiming Dong Changsheng Xu 45 14 0 26 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 46 25 0 22 Jan 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie Hongxin Wei Lei Feng Bo An 21 11 0 16 Jan 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 27 211 0 10 Jan 2022
Constrained Instance and Class Reweighting for Robust Learning under Label Noise Abhishek Kumar Ehsan Amid NoLa 29 19 0 09 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 104 34 0 08 Nov 2021
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 15 5 0 02 Nov 2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels Jiexi Yan Lei Luo Cheng Deng Heng-Chiao Huang NoLa 8 17 0 29 Oct 2021
Towards a Robust Differentiable Architecture Search under Label Noise Christian Simon Piotr Koniusz L. Petersson Yan Han Mehrtash Harandi NoLa AAML OOD 17 4 0 23 Oct 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 41 239 0 22 Oct 2021
Noisy Annotation Refinement for Object Detection Jiafeng Mao Qing Yu Yoko Yamakata Kiyoharu Aizawa NoLa 42 10 0 20 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 38 28 0 18 Oct 2021
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix Ziqi Zhang Yuexiang Li Hongxin Wei Kai Ma Tao Xu Yefeng Zheng NoLa 30 5 0 17 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
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 149 62 0 12 Oct 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning Xinghua Zhang Yu Bowen Tingwen Liu Zhenyu Zhang Jiawei Sheng Mengge Xue Hongbo Xu 16 21 0 09 Oct 2021
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification Varsha Suresh Desmond C. Ong VLM 63 79 0 12 Sep 2021
Confidence Adaptive Regularization for Deep Learning with Noisy Labels Yangdi Lu Yang Bo Wenbo He NoLa 22 10 0 18 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 73 116 0 05 Aug 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering Chang-rui Liu Han Yu Boyang Albert Li Zhiqi Shen Zhanning Gao Peiran Ren Xuansong Xie Li-zhen Cui C. Miao NoLa 22 0 0 03 Aug 2021
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions Anil Rahate Rahee Walambe S. Ramanna K. Kotecha 27 135 0 29 Jul 2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Shuailin Li Zhitong Gao Xuming He NoLa 27 26 0 21 Jul 2021
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations Darshan Gera B. S 13 7 0 10 Jul 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 28 29 0 29 Jun 2021
Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image Classification Mengdi Gao Ximeng Feng Mufeng Geng Zhe Jiang Lei Zhu Xiangxi Meng Chuanqing Zhou Qiushi Ren Yanye Lu BDL NoLa 19 6 0 23 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei Lue Tao Renchunzi Xie Bo An NoLa 27 83 0 21 Jun 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion Xian-Jin Gui Wei Wang Zhang-Hao Tian NoLa 25 44 0 17 Jun 2021