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Exploiting Context for Robustness to Label Noise in Active Learning

Exploiting Context for Robustness to Label Noise in Active Learning

18 October 2020
Sudipta Paul
S. Chandrasekaran
B. S. Manjunath
Amit K. Roy-Chowdhury
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Exploiting Context for Robustness to Label Noise in Active Learning"

14 / 14 papers shown
Title
State-Relabeling Adversarial Active Learning
State-Relabeling Adversarial Active Learning
Beichen Zhang
Liang Li
Shijie Yang
Shuhui Wang
Zhengjun Zha
Qingming Huang
63
128
0
10 Apr 2020
Deep Active Learning for Biased Datasets via Fisher Kernel
  Self-Supervision
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
Denis A. Gudovskiy
Alec Hodgkinson
Takuya Yamaguchi
Sotaro Tsukizawa
FedML
46
59
0
01 Mar 2020
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
85
662
0
09 May 2019
Context-Aware Query Selection for Active Learning in Event Recognition
Context-Aware Query Selection for Active Learning in Event Recognition
Mahmudul Hasan
S. Paul
Anastasios I. Mourikis
Amit K. Roy-Chowdhury
35
16
0
09 Apr 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GANDRLVLMSSL
122
579
0
31 Mar 2019
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
73
1,739
0
08 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
480
22,134
0
09 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Hierarchical Subquery Evaluation for Active Learning on a Graph
Hierarchical Subquery Evaluation for Active Learning on a Graph
Oisin Mac Aodha
Neill D. F. Campbell
Jan Kautz
Gabriel J. Brostow
50
102
0
30 Apr 2015
Beyond Disagreement-based Agnostic Active Learning
Beyond Disagreement-based Agnostic Active Learning
Chicheng Zhang
Kamalika Chaudhuri
160
86
0
10 Jul 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
419
43,777
0
01 May 2014
Active and passive learning of linear separators under log-concave
  distributions
Active and passive learning of linear separators under log-concave distributions
Maria-Florina Balcan
Philip M. Long
83
148
0
06 Nov 2012
Identifying Mislabeled Training Data
Identifying Mislabeled Training Data
C. Brodley
M. Friedl
109
970
0
01 Jun 2011
Agnostic Active Learning Without Constraints
Agnostic Active Learning Without Constraints
A. Beygelzimer
Daniel J. Hsu
John Langford
Tong Zhang
VLM
120
180
0
14 Jun 2010
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