SELF: Learning to Filter Noisy Labels with Self-Ensembling

4 October 2019

Thi Phuong Nhung Ngo

Papers citing "SELF: Learning to Filter Noisy Labels with Self-Ensembling"

22 / 172 papers shown

Title
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 9 112 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 16 112 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 101 34 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 34 45 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 6 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 28 17 0 02 Dec 2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 6 40 0 11 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 24 158 0 09 Nov 2020
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach Hao Cheng Zhaowei Zhu Xingyu Li Yifei Gong Xing Sun Yang Liu NoLa 14 200 0 05 Oct 2020
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis Chuheng Zhang Yuanqi Li Xi Chen Yifei Jin Pingzhong Tang Jian Li 6 17 0 03 Oct 2020
Self-similarity Student for Partial Label Histopathology Image Segmentation Hsien-Tzu Cheng Chun-Fu Yeh Po-Chen Kuo Andy Wei Keng-Chi Liu Mong-Chi Ko Kuan-Hua Chao Yu-Ching Peng Tyng-Luh Liu 6 20 0 19 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 22 956 0 16 Jul 2020
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency Hyeonsoo Lee Won-Ki Jeong 17 111 0 23 Jun 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Mingming Gong Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 11 67 0 14 Jun 2020
Generalization by Recognizing Confusion Daniel Chiu Franklyn Wang S. Kominers NoLa 6 0 0 13 Jun 2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá David Ifeoluwa Adelani Michael A. Hedderich D. Zhu Esther van den Berg Dietrich Klakow 6 11 0 18 Mar 2020
Self-Adaptive Training: beyond Empirical Risk Minimization Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 13 197 0 24 Feb 2020
Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning Christian Haase-Schuetz Rainer Stal Heinz Hertlein Bernhard Sick NoLa 6 1 0 07 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 32 261 0 28 Jan 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 19 322 0 11 Dec 2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision D. Nguyen Maximilian Dax Chaithanya Kumar Mummadi Thi Phuong Nhung Ngo T. Nguyen Zhongyu Lou Thomas Brox 8 70 0 28 Sep 2019
Learning with Bounded Instance- and Label-dependent Label Noise Jiacheng Cheng Tongliang Liu K. Ramamohanarao Dacheng Tao NoLa 27 147 0 12 Sep 2017