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Auxiliary Image Regularization for Deep CNNs with Noisy Labels

Auxiliary Image Regularization for Deep CNNs with Noisy Labels

22 November 2015
S. Azadi
Jiashi Feng
Stefanie Jegelka
Trevor Darrell
    NoLa
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Papers citing "Auxiliary Image Regularization for Deep CNNs with Noisy Labels"

15 / 15 papers shown
Title
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen
Tianyu Cao
Ninon De Mecquenem
Jiahe Li
Zhilong Chen
F. Friederici
Yang Yang
43
1
0
31 Jul 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
41
1
0
01 Jun 2024
Detecting Label Errors by using Pre-Trained Language Models
Detecting Label Errors by using Pre-Trained Language Models
Derek Chong
Jenny Hong
Christopher D. Manning
NoLa
45
21
0
25 May 2022
Constrained Instance and Class Reweighting for Robust Learning under
  Label Noise
Constrained Instance and Class Reweighting for Robust Learning under Label Noise
Abhishek Kumar
Ehsan Amid
NoLa
32
19
0
09 Nov 2021
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy
  Suppression for Anomalous Event Detection
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
M. Zaheer
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
15
133
0
24 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and
  Future
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
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
Kai Wang
Xiaojiang Peng
Jianfei Yang
Shijian Lu
Yu Qiao
43
482
0
24 Feb 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
SELF: Learning to Filter Noisy Labels with Self-Ensembling
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Philipp Kratzer
Marc Toussaint
Thi Phuong Nhung Ngo
T. Nguyen
Jim Mainprice
Thomas Brox
NoLa
33
308
0
04 Oct 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
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action
  Classifier for Anomaly Detection
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong
Nannan Li
Weijie Kong
Shan Liu
Thomas H. Li
Ge Li
NoLa
SSL
24
396
0
18 Mar 2019
Limited Gradient Descent: Learning With Noisy Labels
Limited Gradient Descent: Learning With Noisy Labels
Yi Sun
Yan Tian
Yiping Xu
Jianxiang Li
NoLa
35
13
0
20 Nov 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
60
1,410
0
24 Mar 2018
Transfer Learning with Label Noise
Transfer Learning with Label Noise
Xiyu Yu
Tongliang Liu
Biwei Huang
Kun Zhang
Kayhan Batmanghelich
Dacheng Tao
NoLa
16
32
0
31 Jul 2017
Learning Deep Networks from Noisy Labels with Dropout Regularization
Learning Deep Networks from Noisy Labels with Dropout Regularization
Ishan Jindal
M. Nokleby
Xuewen Chen
NoLa
6
183
0
09 May 2017
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