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Hitting the Target: Stopping Active Learning at the Cost-Based Optimum

Hitting the Target: Stopping Active Learning at the Cost-Based Optimum

7 October 2021
Zac Pullar-Strecker
Katharina Dost
E. Frank
Jörg Simon Wicker
ArXivPDFHTML

Papers citing "Hitting the Target: Stopping Active Learning at the Cost-Based Optimum"

6 / 6 papers shown
Title
From Selection to Generation: A Survey of LLM-based Active Learning
From Selection to Generation: A Survey of LLM-based Active Learning
Yu Xia
Subhojyoti Mukherjee
Zhouhang Xie
Junda Wu
Xintong Li
...
Namyong Park
T. Nguyen
Jiebo Luo
Ryan Rossi
Julian McAuley
53
0
0
17 Feb 2025
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
29
11
0
21 May 2023
Robust online active learning
Robust online active learning
Davide Cacciarelli
M. Kulahci
J. Tyssedal
13
12
0
01 Feb 2023
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse
  Reinforcement Learning
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning
Tuan-Duong Trinh
Haoyu Chen
Daniel S. Brown
OffRL
28
7
0
28 Nov 2022
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
30
65
0
18 Oct 2022
Impact of Stop Sets on Stopping Active Learning for Text Classification
Impact of Stop Sets on Stopping Active Learning for Text Classification
Luke Kurlandski
Michael Bloodgood
11
2
0
08 Jan 2022
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