Curriculum Loss: Robust Learning and Generalization against Label Corruption

24 May 2019

Ivor W. Tsang

Papers citing "Curriculum Loss: Robust Learning and Generalization against Label Corruption"

46 / 96 papers shown

Title
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen Chuang Zhu Yi Chen Mengting Li Tiejun Huang NoLa 9 11 0 02 Dec 2021
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 13 5 0 02 Nov 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 18 39 0 14 Oct 2021
Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour Adithya Kulkarni Sihong Xie Qi Li 17 15 0 09 Sep 2021
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification Pengfei Wang Changxing Ding Wentao Tan Mingming Gong K. Jia Dacheng Tao 13 40 0 22 Aug 2021
Learning with Noisy Labels for Robust Point Cloud Segmentation Shuquan Ye Dongdong Chen Songfang Han Jing Liao 3DPC 12 46 0 29 Jul 2021
kNet: A Deep kNN Network To Handle Label Noise Itzik Mizrahi S. Avidan NoLa 8 0 0 20 Jul 2021
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression Vincent Mai Waleed D. Khamies Liam Paull NoLa BDL 6 2 0 09 Jul 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels Ying-Long Bai Erkun Yang Bo Han Yanhua Yang Jiatong Li Yinian Mao Gang Niu Tongliang Liu NoLa 17 200 0 30 Jun 2021
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? Bidur Khanal Christopher Kanan NoLa 8 4 0 29 Jun 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 20 29 0 29 Jun 2021
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks Dongha Kim Yongchan Choi Kunwoong Kim Yongdai Kim NoLa 11 0 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 17 6 0 23 Jun 2021
SENT: Sentence-level Distant Relation Extraction via Negative Training Ruotian Ma Tao Gui Linyang Li Qi Zhang Yaqian Zhou Xuanjing Huang 9 28 0 22 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei Lue Tao Renchunzi Xie Bo An NoLa 11 83 0 21 Jun 2021
Asymmetric Loss Functions for Learning with Noisy Labels Xiong Zhou Xianming Liu Junjun Jiang Xin Gao Xiangyang Ji NoLa 19 47 0 06 Jun 2021
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Mingming Gong Jun Yu Gang Niu Masashi Sugiyama NoLa 15 110 0 01 Jun 2021
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network Shuo Yang Erkun Yang Bo Han Yang Liu Min Xu Gang Niu Tongliang Liu NoLa BDL 16 41 0 27 May 2021
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise Ming-Kun Xie Sheng-Jun Huang NoLa 8 22 0 16 May 2021
On Universal Black-Box Domain Adaptation Bin Deng Yabin Zhang Hui Tang Changxing Ding K. Jia 9 9 0 10 Apr 2021
A Theoretical Analysis of Learning with Noisily Labeled Data Yi Tian Xu Qi Qian Hao Li R. L. Jin NoLa 15 0 0 08 Apr 2021
Approximating Instance-Dependent Noise via Instance-Confidence Embedding Yivan Zhang Masashi Sugiyama 23 8 0 25 Mar 2021
Co-matching: Combating Noisy Labels by Augmentation Anchoring Yangdi Lu Yang Bo Wenbo He NoLa 11 7 0 23 Mar 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 20 15 0 22 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Eric Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 16 22 0 28 Feb 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 6 9 0 24 Feb 2021
Evaluating Multi-label Classifiers with Noisy Labels Wenting Zhao Carla P. Gomes NoLa 57 14 0 16 Feb 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization Yivan Zhang Gang Niu Masashi Sugiyama NoLa 14 77 0 04 Feb 2021
Learning to Combat Noisy Labels via Classification Margins Jason Lin Jelena Bradic NoLa 26 7 0 01 Feb 2021
Model Generalization on COVID-19 Fake News Detection Yejin Bang Etsuko Ishii Samuel Cahyawijaya Ziwei Ji Pascale Fung 29 36 0 11 Jan 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 14 18 0 23 Dec 2020
When Do Curricula Work? Xiaoxia Wu Ethan Dyer Behnam Neyshabur 17 110 0 05 Dec 2020
Robust Federated Learning with Noisy Labels Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 14 74 0 03 Dec 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 6 155 0 09 Nov 2020
An iterative framework for self-supervised deep speaker representation learning Danwei Cai Weiqing Wang Ming Li SSL 6 37 0 25 Oct 2020
Defending against substitute model black box adversarial attacks with the 01 loss Yunzhe Xue Meiyan Xie Usman Roshan AAML 12 1 0 01 Sep 2020
Towards adversarial robustness with 01 loss neural networks Yunzhe Xue Meiyan Xie Usman Roshan OOD AAML 33 5 0 20 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 6 950 0 16 Jul 2020
Compositional Generalization by Learning Analytical Expressions Qian Liu Shengnan An Jian-Guang Lou Bei Chen Zeqi Lin Yan Gao Bin Zhou Nanning Zheng Dongmei Zhang CoGe NAI 11 72 0 18 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 6 67 0 14 Jun 2020
On the transferability of adversarial examples between convex and 01 loss models Yunzhe Xue Meiyan Xie Usman Roshan AAML 15 6 0 14 Jun 2020
Hierarchical Class-Based Curriculum Loss Palash Goyal Shalini Ghosh 4 6 0 05 Jun 2020
Learning Adaptive Loss for Robust Learning with Noisy Labels Jun Shu Qian Zhao Keyu Chen Zongben Xu Deyu Meng NoLa OOD 10 23 0 16 Feb 2020
Robust binary classification with the 01 loss Yunzhe Xue Meiyan Xie Usman Roshan OOD 11 1 0 09 Feb 2020
$Support Vector Machine Classifier via $L_{0/1}$ Soft-Margin Loss$ Support Vector Machine Classifier via $L_{0/1}$ Soft-Margin Loss Huajun Wang Yuanhai Shao Shenglong Zhou Ce Zhang N. Xiu VLM 13 51 0 16 Dec 2019
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 11 321 0 11 Dec 2019