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Multi-Domain Active Learning: Literature Review and Comparative Study

Multi-Domain Active Learning: Literature Review and Comparative Study

25 June 2021
Ruidan He
Shengcai Liu
Shan He
Ke Tang
    OOD
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Papers citing "Multi-Domain Active Learning: Literature Review and Comparative Study"

19 / 19 papers shown
Title
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
Wenjie Chen
Shengcai Liu
Yew-Soon Ong
Jiaheng Zhang
K. Tang
68
6
0
27 Aug 2023
Mitigating Sampling Bias and Improving Robustness in Active Learning
Mitigating Sampling Bias and Improving Robustness in Active Learning
R. Krishnan
Alok Sinha
Nilesh A. Ahuja
Mahesh Subedar
Omesh Tickoo
R. Iyer
24
9
0
13 Sep 2021
Batch Active Learning at Scale
Batch Active Learning at Scale
Gui Citovsky
Giulia DeSalvo
Claudio Gentile
Lazaros Karydas
Anand Rajagopalan
Afshin Rostamizadeh
Sanjiv Kumar
53
153
0
29 Jul 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
178
1,198
0
02 Mar 2021
Conditional Adversarial Networks for Multi-Domain Text Classification
Conditional Adversarial Networks for Multi-Domain Text Classification
Yuan Wu
Diana Inkpen
Ahmed El-Roby
OOD
GAN
22
18
0
19 Feb 2021
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
72
624
0
19 Jun 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
70
658
0
09 May 2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Yingwei Pan
Ting Yao
Yehao Li
Yu Wang
Chong-Wah Ngo
Tao Mei
81
342
0
25 Apr 2019
Diverse mini-batch Active Learning
Diverse mini-batch Active Learning
Fedor Zhdanov
52
153
0
17 Jan 2019
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Mélanie Ducoffe
F. Precioso
GAN
AAML
100
272
0
27 Feb 2018
Unified Deep Supervised Domain Adaptation and Generalization
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian
Marco Piccirilli
Donald Adjeroh
Gianfranco Doretto
OOD
86
783
0
28 Sep 2017
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
400
2,196
0
25 Jul 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
101
924
0
22 May 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDL
UQCV
64
1,717
0
08 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
247
4,646
0
17 Feb 2017
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
357
9,418
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
211
5,177
0
10 Feb 2015
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
172
4,946
0
06 Oct 2013
Frustratingly Easy Domain Adaptation
Frustratingly Easy Domain Adaptation
Hal Daumé
109
1,796
0
10 Jul 2009
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