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"

50 / 96 papers shown

Title
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems H. Schneider Sebastian Nowak Aditya Parikh Yannik C. Layer Maike Theis Wolfgang Block Alois M. Sprinkart U. Attenberger R. Sifa NoLa 18 0 0 28 Oct 2024
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels Maria Marrium Arif Mahmood Mohammed Bennamoun NoLa AAML 16 0 0 05 Oct 2024
Robust Loss Functions for Object Grasping under Limited Ground Truth Yangfan Deng Mengyao Zhang Yong Zhao NoLa 31 0 0 09 Sep 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 26 0 0 07 Aug 2024
CEC: A Noisy Label Detection Method for Speaker Recognition Yao Shen Yingying Gao Yaqian Hao Chenguang Hu Fulin Zhang Junlan Feng Shilei Zhang NoLa 21 0 0 19 Jun 2024
Relation Modeling and Distillation for Learning with Noisy Labels Xiaming Chen Junlin Zhang Zhuang Qi Xin Qi NoLa 19 0 0 30 May 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning Rui Zhao Bin Shi Jianfei Ruan Tianze Pan Bo Dong NoLa 18 5 0 08 May 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition Jingyi Wang Xiaobo Xia Long Lan Xinghao Wu Jun-chen Yu Wenjing Yang Bo Han Tongliang Liu NoLa 24 7 0 20 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 36 2 0 04 Mar 2024
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation Chenying Liu C. Albrecht Yi Wang Qingyu Li Xiao Xiang Zhu VLM 20 8 0 03 Mar 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 38 1 0 28 Feb 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences Jie Cheng Gang Xiong Xingyuan Dai Q. Miao Yisheng Lv Fei-Yue Wang 23 14 0 27 Feb 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels Jo Wilton Nan Ye NoLa 17 2 0 20 Dec 2023
ProcSim: Proxy-based Confidence for Robust Similarity Learning Oriol Barbany Xiaofan Lin Muhammet Bastan Arnab Dhua 8 1 0 01 Nov 2023
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning Qing Miao Xiaohe Wu Chao Xu Yanli Ji Wangmeng Zuo Yiwen Guo Zhaopeng Meng NoLa 24 2 0 24 Oct 2023
Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance Jiaqi Luo Yuedong Quan Shixin Xu 19 2 0 08 Oct 2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic Yuqi Qing Qilei Yin Xinhao Deng Yihao Chen Zhuotao Liu Kun Sun Ke Xu Jia Zhang Qi Li AAML 11 16 0 09 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 10 8 0 02 Sep 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 27 11 0 26 Aug 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 46 13 0 23 Aug 2023
FPR Estimation for Fraud Detection in the Presence of Class-Conditional Label Noise Justin Tittelfitz 11 0 0 04 Aug 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels Mingcai Chen Yuntao Du Wei Tang Baoming Zhang Hao Cheng Shuwei Qian Chongjun Wang NoLa 14 1 0 31 Jul 2023
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective Renyu Zhu Haoyu Liu Runze Wu Min-Hsien Lin Tangjie Lv Changjie Fan Haobo Wang NoLa 11 1 0 28 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 25 15 0 21 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 35 2 0 19 Jul 2023
VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild Yujiao Hao Boyu Wang Rong Zheng 23 4 0 03 Mar 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya-Qin Zhang Ivor W. Tsang NoLa BDL 19 8 0 19 Feb 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing Guoyang Xie Jinbao Wang Jiaqi Liu Jiayi Lyu Y. Liu Chengjie Wang Feng Zheng Yaochu Jin VLM 22 65 0 31 Jan 2023
Meta-Learning Mini-Batch Risk Functionals Jacob Tyo Zachary Chase Lipton 14 0 0 27 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 12 4 0 18 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 26 8 0 02 Jan 2023
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos Zixiao Wang Junwu Weng C. Yuan Jue Wang NoLa 16 4 0 27 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 25 1 0 20 Dec 2022
Instance-specific Label Distribution Regularization for Learning with Label Noise Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia NoLa 6 1 0 16 Dec 2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang Hui-Sung Kang Sheng Liu Olivier Salvado Thierry Rakotoarivelo Dadong Wang Tongliang Liu NoLa 20 7 0 07 Dec 2022
Robust Point Cloud Segmentation with Noisy Annotations Shuquan Ye Dongdong Chen Songfang Han Jing Liao 3DPC 6 9 0 06 Dec 2022
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification De-Chun Cheng Haichun Tai N. Wang Zhen Wang Xinbo Gao 22 3 0 30 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction Tianyi Wang Jianwei Wang Ziqian Zeng 13 2 0 25 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 23 7 0 21 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 11 3 0 11 Oct 2022
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting Chen-Chen Zong Zhengyang Cao Honglin Guo Yunshu Du Mingshan Xie Shao-Yuan Li Sheng-Jun Huang NoLa 6 2 0 03 Sep 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 19 6 0 23 Aug 2022
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination Tingting Wu Xiao Ding Hao Zhang Jin-Fang Gao LI DU Bing Qin Ting Liu 31 9 0 21 Aug 2022
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis Haifan Gong Hui Cheng Yifan Xie Shuangyi Tan Guanqi Chen Fei Chen Guanbin Li NoLa 14 5 0 02 Jul 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations Xiong Zhou Xianming Liu Deming Zhai Junjun Jiang Xin Gao Xiangyang Ji 14 2 0 23 Jun 2022
CLNode: Curriculum Learning for Node Classification Xiaowen Wei Xiuwen Gong Yibing Zhan Bo Du Yong Luo Wenbin Hu 15 27 0 15 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 24 65 0 06 Jun 2022
Deep Learning with Label Noise: A Hierarchical Approach Li-Wei Chen Ningyuan Huang Cong Mu Hayden S. Helm Kate Lytvynets Weiwei Yang Carey E. Priebe NoLa 10 1 0 28 May 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 21 23 0 15 Mar 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 18 0 0 26 Feb 2022