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A Simple yet Brisk and Efficient Active Learning Platform for Text
  Classification

A Simple yet Brisk and Efficient Active Learning Platform for Text Classification

31 January 2021
Teja Kanchinadam
Qian You
Keith Westpfahl
James Kim
S. Gunda
Sebastian Seith
G. Fung
    VLM
ArXivPDFHTML

Papers citing "A Simple yet Brisk and Efficient Active Learning Platform for Text Classification"

7 / 7 papers shown
Title
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
85
660
0
09 May 2019
Deep Bayesian Active Learning for Natural Language Processing: Results
  of a Large-Scale Empirical Study
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
Aditya Siddhant
Zachary Chase Lipton
AI4CE
BDL
61
206
0
16 Aug 2018
Universal Sentence Encoder
Universal Sentence Encoder
Daniel Cer
Yinfei Yang
Sheng-yi Kong
Nan Hua
Nicole Limtiaco
...
Steve Yuan
Chris Tar
Yun-hsuan Sung
B. Strope
R. Kurzweil
439
1,904
0
29 Mar 2018
Support Vector Machine Active Learning Algorithms with
  Query-by-Committee versus Closest-to-Hyperplane Selection
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection
Michael Bloodgood
43
23
0
24 Jan 2018
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDL
UQCV
70
1,736
0
08 Mar 2017
Bag of Tricks for Efficient Text Classification
Bag of Tricks for Efficient Text Classification
Armand Joulin
Edouard Grave
Piotr Bojanowski
Tomas Mikolov
VLM
175
4,622
0
06 Jul 2016
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
160
555
0
25 Nov 2015
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