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Active learning for reducing labeling effort in text classification
  tasks

Active learning for reducing labeling effort in text classification tasks

10 September 2021
Peter Jacobs
Gideon Maillette de Buy Wenniger
M. Wiering
Lambert Schomaker
    VLM
ArXivPDFHTML

Papers citing "Active learning for reducing labeling effort in text classification tasks"

6 / 6 papers shown
Title
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in
  Text Classification Tasks
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks
F. Belém
Washington Cunha
Celso França
Claudio Andrade
Leonardo Rocha
M. A. Gonçalves
27
2
0
24 Jul 2024
ActiveLLM: Large Language Model-based Active Learning for Textual
  Few-Shot Scenarios
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
Markus Bayer
Christian A. Reuter
51
6
0
17 May 2024
Reduced Label Complexity For Tight $\ell_2$ Regression
Reduced Label Complexity For Tight ℓ2\ell_2ℓ2​ Regression
Alex Gittens
M. Magdon-Ismail
UQCV
22
0
0
12 May 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAI
MedIm
33
19
0
05 Feb 2023
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
285
9,138
0
06 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
278
31,267
0
16 Jan 2013
1