Beyond Class-Conditional Assumption: A Primary Attempt to Combat
Instance-Dependent Label Noise

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

10 December 2020

Pheng-Ann Heng

Papers citing "Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise"

16 / 66 papers shown

Title
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 37 39 0 02 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
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 30 39 0 29 Mar 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 19 33 0 11 Feb 2022
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise Mingcai Chen Hao Cheng Yuntao Du Ming Xu Wenyu Jiang Chongjun Wang NoLa 22 25 0 06 Dec 2021
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen Chuang Zhu Yi Chen Mengting Li Tiejun Huang NoLa 13 11 0 02 Dec 2021
Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction Takuma Yagi Md. Tasnimul Hasan Yoichi Sato 14 5 0 19 Oct 2021
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling Liang Zeng Lei Wang Hui Niu Ruchen Zhang Ling Wang Jian Li 14 3 0 26 Jul 2021
An Instance-Dependent Simulation Framework for Learning with Label Noise Keren Gu Xander Masotto Vandana Bachani Balaji Lakshminarayanan Jack Nikodem Dong Yin NoLa 11 24 0 23 Jul 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 28 29 0 29 Jun 2021
Learning from Multiple Annotators by Incorporating Instance Features Jingzheng Li Hailong Sun Jiyi Li Zhijun Chen Renshuai Tao Yufei Ge NoLa 23 5 0 29 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
Influential Rank: A New Perspective of Post-training for Robust Model against Noisy Labels Seulki Park Hwanjun Song Daeho Um D. Jo Sangdoo Yun J. Choi NoLa 26 0 0 14 Jun 2021
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness Glenn Dawson R. Polikar NoLa 39 3 0 28 May 2021
Approximating Instance-Dependent Noise via Instance-Confidence Embedding Yivan Zhang Masashi Sugiyama 31 8 0 25 Mar 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 960 0 16 Jul 2020