Learning From Noisy Large-Scale Datasets With Minimal Supervision

6 January 2017

Papers citing "Learning From Noisy Large-Scale Datasets With Minimal Supervision"

50 / 87 papers shown

Title
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 161 0 0 21 Mar 2025
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break Haowen Bai Zixiang Zhao Jiangshe Zhang Yukun Cui Chunxia Zhang Zhenbo Guo Yongjun Wang 62 1 0 03 Feb 2025
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 50 1 0 13 Sep 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Aaqib Saeed Dimitris Spathis Jungwoo Oh Edward Choi Ali Etemad NoLa 31 2 0 25 Jan 2024
Pseudo-label Correction for Instance-dependent Noise Using Teacher-student Framework Eugene Kim NoLa 33 0 0 24 Nov 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 51 13 0 23 Aug 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization W. Cui Wei Yu UQCV OOD 27 6 0 23 Feb 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 55 8 0 02 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 61 2 0 02 Jan 2023
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 31 2 0 01 Dec 2022
Establishment of Neural Networks Robust to Label Noise Pengwei Yang Angel Teng Jack Mangos NoLa 19 0 0 28 Nov 2022
Open-vocabulary Attribute Detection M. A. Bravo Sudhanshu Mittal Simon Ging Thomas Brox VLM ObjD 19 30 0 23 Nov 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties Zeren Shui Daniel S. Karls Mingjian Wen Ilia Nikiforov E. Tadmor George Karypis 46 7 0 14 Oct 2022
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection Cholmin Kang C. Lee Heon Song M. Ma Sérgio Pereira 23 5 0 11 Oct 2022
Improving Dense Contrastive Learning with Dense Negative Pairs Berk Iskender Zhenlin Xu Simon Kornblith Enhung Chu M. Khademi SSL 34 1 0 11 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 37 27 0 02 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 38 6 0 23 Aug 2022
Thoughts on child safety on commodity platforms I. Levy Crispin Robinson 22 10 0 19 Jul 2022
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer Su He Taian Guo Tao Dai Ruizhi Qiao Bo Ren Shutao Xia VLM 78 49 0 05 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 25 6 0 30 Jun 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy Xiaofeng Cao Weiyang Liu Ivor W. Tsang 19 8 0 30 Jun 2022
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher Jing Jiang Weihong Deng 32 23 0 28 May 2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking Kai-xiang Chen Ruizhi Cao Stephen James Yichuan Li Yunhui Liu Pieter Abbeel Qi Dou 3DPC 38 26 0 14 Apr 2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation Yongliang Ding Tao Zhou Chuang Zhang Yijing Luo Juan Tang Chen Gong NoLa 32 4 0 21 Mar 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 47 3 0 09 Feb 2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise? Yexiong Lin Yu Yao Yuxuan Du Jun Yu Bo Han Biwei Huang Tongliang Liu NoLa 53 3 0 30 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 13 68 0 12 Jan 2022
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende S. Clinchant NoLa VLM 27 16 0 20 Dec 2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Yi Li Yiqun Duan Zhanghui Kuang Yimin Chen Wayne Zhang Xiaomeng Li 30 72 0 14 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Chuang Zhu Wenkai Chen T. Peng Ying Wang M. Jin NoLa 34 72 0 05 Dec 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 40 39 0 14 Oct 2021
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 20 0 0 12 Sep 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 23 108 0 17 Jun 2021
Learning to Predict Visual Attributes in the Wild Khoi Pham Kushal Kafle Zhe-nan Lin Zhi Ding Scott D. Cohen Q. Tran Abhinav Shrivastava 18 108 0 17 Jun 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 21 20 0 07 May 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew S. Lan NoLa 21 58 0 19 Apr 2021
HBert + BiasCorp -- Fighting Racism on the Web Olawale Onabola Zhuang Ma Yang Xie Benjamin Akera A. Ibraheem Jia Xue Dianbo Liu Yoshua Bengio 18 6 0 06 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 32 6 0 01 Apr 2021
Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification Youngwoo Kim Cheng Li Bingyang Ye A. Tahmasebi J. Aslam NoLa 25 1 0 13 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 27 3 0 01 Mar 2021
Evaluating Multi-label Classifiers with Noisy Labels Wenting Zhao Carla P. Gomes NoLa 74 14 0 16 Feb 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 29 19 0 24 Jan 2021
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu Rong Jin W. Yin Tianbao Yang ODL 26 12 0 13 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 30 112 0 09 Dec 2020
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 38 252 0 23 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
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 28 70 0 09 Oct 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong Guosheng Lin 26 94 0 17 Sep 2020