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Deep Learning from Noisy Image Labels with Quality Embedding

Deep Learning from Noisy Image Labels with Quality Embedding

2 November 2017
Jiangchao Yao
Jiajie Wang
Ivor Tsang
Ya Zhang
Jun-wei Sun
Chengqi Zhang
Rui Zhang
    NoLa
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Papers citing "Deep Learning from Noisy Image Labels with Quality Embedding"

19 / 19 papers shown
Title
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
Jingyi Cui
Yi-Ge Zhang
Hengyu Liu
Yisen Wang
NoLa
48
0
0
03 Jan 2025
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label
  Non-conformity in Web Images Via a New Generalized KL Divergence
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
42
2
0
19 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
40
7
0
20 Jun 2023
Latent Class-Conditional Noise Model
Latent Class-Conditional Noise Model
Jiangchao Yao
Bo Han
Zhihan Zhou
Ya Zhang
Ivor W. Tsang
NoLa
BDL
33
8
0
19 Feb 2023
FedDebug: Systematic Debugging for Federated Learning Applications
FedDebug: Systematic Debugging for Federated Learning Applications
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
31
11
0
09 Jan 2023
Robust Training for Speaker Verification against Noisy Labels
Robust Training for Speaker Verification against Noisy Labels
Zhihua Fang
Liang He
Hanhan Ma
Xiao-Min Guo
Lin Li
NoLa
24
3
0
22 Nov 2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy
  Labels
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Qiuchen Zhang
Jing Ma
Jian Lou
Li Xiong
Xiaoqian Jiang
NoLa
21
0
0
03 Nov 2022
Robust Meta-learning with Sampling Noise and Label Noise via
  Eigen-Reptile
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Dong Chen
Lingfei Wu
Siliang Tang
Xiao Yun
Bo Long
Yueting Zhuang
VLM
NoLa
31
9
0
04 Jun 2022
Truth Discovery in Sequence Labels from Crowds
Truth Discovery in Sequence Labels from Crowds
Nasim Sabetpour
Adithya Kulkarni
Sihong Xie
Qi Li
39
16
0
09 Sep 2021
Learning from Noisy Labels via Dynamic Loss Thresholding
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
Collaborative Label Correction via Entropy Thresholding
Collaborative Label Correction via Entropy Thresholding
Hao Wu
Jiangchao Yao
Jiajie Wang
Yinru Chen
Ya Zhang
Yanfeng Wang
NoLa
22
4
0
31 Mar 2021
Evaluating Multi-label Classifiers with Noisy Labels
Evaluating Multi-label Classifiers with Noisy Labels
Wenting Zhao
Carla P. Gomes
NoLa
74
14
0
16 Feb 2021
Identifying Mislabeled Images in Supervised Learning Utilizing
  Autoencoder
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder
Yunhao Yang
Andrew Whinston
18
5
0
07 Nov 2020
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
24
535
0
05 Dec 2019
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Yifan Zhang
Ying Wei
P. Zhao
Shuaicheng Niu
Qingyao Wu
Mingkui Tan
Junzhou Huang
OOD
26
145
0
17 Nov 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Kun Yi
Jianxin Wu
NoLa
36
409
0
19 Mar 2019
An Effective Label Noise Model for DNN Text Classification
An Effective Label Noise Model for DNN Text Classification
Ishan Jindal
Daniel Pressel
Brian Lester
M. Nokleby
NoLa
32
48
0
18 Mar 2019
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling
  Perspective
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective
Jing Zhang
Tong Zhang
Yuchao Dai
Mehrtash Harandi
Richard I. Hartley
17
182
0
29 Mar 2018
Bayesian Inference with Posterior Regularization and applications to
  Infinite Latent SVMs
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu
Ning Chen
Eric P. Xing
BDL
67
157
0
05 Oct 2012
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