Papers citing 'Normalized Loss Functions for Deep Learning with Noisy Labels'

Title
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments Yang Liu NoLa 98 36 0 10 Feb 2021
Extremal learning: extremizing the output of a neural network in regression problems S. J. Wetzel M. Rummel 53 4 0 06 Feb 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization Yivan Zhang Gang Niu Masashi Sugiyama NoLa 127 91 0 04 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 122 0 0 05 Jan 2021
Normalized Label Distribution: Towards Learning Calibrated, Adaptable and Efficient Activation Maps Utkarsh Uppal Bharat Giddwani AAML 31 0 0 12 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 144 133 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Jianguo Huang Lei Feng Rongpin Wang Bo An NoLa 87 6 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 127 126 0 08 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 208 35 0 08 Dec 2020
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? F. Cordeiro G. Carneiro NoLa 180 51 0 05 Dec 2020
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Jiankang Deng Jiatong Li Yinian Mao NoLa 92 11 0 02 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 97 17 0 02 Dec 2020
Handling Noisy Labels via One-Step Abductive Multi-Target Learning and Its Application to Helicobacter Pylori Segmentation Yongquan Yang Yiming Yang Jie Chen Jiayi Zheng Zhongxi Zheng 111 3 0 25 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 161 167 0 09 Nov 2020
Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt Nontawat Charoenphakdee Masashi Sugiyama NoLa 146 29 0 20 Oct 2020
ARM: A Confidence-Based Adversarial Reweighting Module for Coarse Semantic Segmentation Jingchao Liu Ye Du Zehua Fu Qingjie Liu Yunhong Wang 68 2 0 11 Sep 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 303 1,078 0 16 Jul 2020
Temporal Calibrated Regularization for Robust Noisy Label Learning Dongxian Wu Yisen Wang Zhuobin Zheng Shutao Xia NoLa 71 2 0 01 Jul 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels Songhua Wu Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Nannan Wang Haifeng Liu Gang Niu NoLa 92 55 0 14 Jun 2020
Underwater image enhancement with Image Colorfulness Measure Hui Li Xi Yang Zhenming Li Tianlun Zhang 20 17 0 18 Apr 2020