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Meta Soft Label Generation for Noisy Labels
v1v2 (latest)

Meta Soft Label Generation for Noisy Labels

International Conference on Pattern Recognition (ICPR), 2020
11 July 2020
G. Algan
ilkay Ulusoy
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Meta Soft Label Generation for Noisy Labels"

23 / 23 papers shown
Curvature Learning for Generalization of Hyperbolic Neural Networks
Curvature Learning for Generalization of Hyperbolic Neural NetworksInternational Journal of Computer Vision (IJCV), 2025
Xiaomeng Fan
Yuwei Wu
Zhi Gao
Mehrtash Harandi
Yunde Jia
244
2
0
24 Aug 2025
Robust Testing for Deep Learning using Human Label NoiseWorkshop on Deep Learning for Testing and Testing for Deep Learning (LTTDL), 2024
Gordon Lim
Stefan Larson
Kevin Leach
NoLa
296
0
0
29 Nov 2024
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal
  Sentiment Analysis
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis
Sijie Mai
Yu Zhao
Ying Zeng
Jianhua Yao
Haifeng Hu
314
4
0
28 Aug 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
Huiling Qin
Xianyuan Zhan
Yuanxun Li
Yu Zheng
208
0
0
28 Dec 2023
Enhanced Meta Label Correction for Coping with Label Corruption
Enhanced Meta Label Correction for Coping with Label CorruptionIEEE International Conference on Computer Vision (ICCV), 2023
Mitchell Keren Taraday
Chaim Baskin
318
7
0
22 May 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier
Learning from Noisy Labels with Decoupled Meta Label PurifierComputer Vision and Pattern Recognition (CVPR), 2023
Yuanpeng Tu
Boshen Zhang
Yuxi Li
Liang Liu
Jian Li
Yabiao Wang
Chengjie Wang
C. Zhao
NoLa
326
38
0
14 Feb 2023
Selective classification using a robust meta-learning approach
Selective classification using a robust meta-learning approach
Nishant Jain
Karthikeyan Shanmugam
Pradeep Shenoy
OOD
253
3
0
12 Dec 2022
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment AgricultureACM Computing Surveys (ACM CSUR), 2022
Jiayun Luo
Boyang Albert Li
Cyril Leung
374
23
0
20 Oct 2022
CNTN: Cyclic Noise-tolerant Network for Gait Recognition
CNTN: Cyclic Noise-tolerant Network for Gait Recognition
Weichen Yu
Hongyuan Yu
Yan Huang
Chunshui Cao
Liang Wang
NoLa
187
3
0
13 Oct 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
D. Hoang
Cuong C. Nguyen
Cuong Nguyen anh Belagiannis Vasileios
Thanh-Toan Do
G. Carneiro
402
2
0
17 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen Ma
Zixuan Liu
Xue Liu
526
45
0
24 Jul 2022
Deep Learning with Label Noise: A Hierarchical Approach
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
150
1
0
28 May 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseComputer Vision and Pattern Recognition (CVPR), 2022
Yuyin Zhou
Xianhang Li
Fengze Liu
Qingyue Wei
Xuxi Chen
Ziqiang Li
Cihang Xie
M. Lungren
Lei Xing
NoLa
255
13
0
09 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Adaptive Mixing of Auxiliary Losses in Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
D. Sivasubramanian
Ayush Maheshwari
Pradeep Shenoy
A. Prathosh
Ganesh Ramakrishnan
394
7
0
07 Feb 2022
Generalized Data Weighting via Class-level Gradient Manipulation
Generalized Data Weighting via Class-level Gradient ManipulationNeural Information Processing Systems (NeurIPS), 2021
Can Chen
Shuhao Zheng
Xi Chen
Erqun Dong
Xue Liu
Hao Liu
Dejing Dou
279
25
0
29 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with
  Noisy Labels
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy LabelsBritish Machine Vision Conference (BMVC), 2021
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
180
21
0
22 Oct 2021
Breaking the Dilemma of Medical Image-to-image Translation
Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong
Chenyu Lian
Detian Huang
Zhenjiang Li
Yanle Hu
Qichao Zhou
GANMedIm
389
182
0
13 Oct 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance
  Filtering
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Chang-rui Liu
Han Yu
Boyang Albert Li
Zhiqi Shen
Zhanning Gao
Peiran Ren
Xuansong Xie
Li-zhen Cui
Chunyan Miao
NoLa
260
0
0
03 Aug 2021
kNet: A Deep kNN Network To Handle Label Noise
kNet: A Deep kNN Network To Handle Label Noise
Itzik Mizrahi
S. Avidan
NoLa
145
0
0
20 Jul 2021
Noise-resistant Deep Metric Learning with Ranking-based Instance
  Selection
Noise-resistant Deep Metric Learning with Ranking-based Instance SelectionComputer Vision and Pattern Recognition (CVPR), 2021
Chang-rui Liu
Han Yu
Boyang Albert Li
Zhiqi Shen
Zhanning Gao
Peiran Ren
Xuansong Xie
Li-zhen Cui
Chunyan Miao
NoLa
331
41
0
30 Mar 2021
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-LabelsIEEE Transactions on Image Processing (TIP), 2021
G. Algan
ilkay Ulusoy
NoLa
178
13
0
19 Mar 2021
Deep Learning from Small Amount of Medical Data with Noisy Labels: A
  Meta-Learning Approach
Deep Learning from Small Amount of Medical Data with Noisy Labels: A Meta-Learning Approach
G. Algan
ilkay Ulusoy
Şaban Gönül
Banu Turgut
B. Bakbak
NoLa
230
4
0
14 Oct 2020
Image Classification with Deep Learning in the Presence of Noisy Labels:
  A Survey
Image Classification with Deep Learning in the Presence of Noisy Labels: A SurveyKnowledge-Based Systems (KBS), 2019
G. Algan
ilkay Ulusoy
NoLaVLM
339
362
0
11 Dec 2019
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