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Active2^22 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation

11 March 2021
Rishi Hazra
Parag Dutta
Shubham Gupta
Mohammed Abdul Qaathir
Ambedkar Dukkipati
    VLM
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Papers citing "Active$^2$ Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation"

3 / 3 papers shown
Title
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
33
65
0
18 Oct 2022
Onception: Active Learning with Expert Advice for Real World Machine
  Translation
Onception: Active Learning with Expert Advice for Real World Machine Translation
Vania Mendoncca
Ricardo Rei
Luísa Coheur
Alberto Sardinha INESC-ID Lisboa
33
6
0
09 Mar 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1