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Active Learning: Problem Settings and Recent Developments
v1v2 (latest)

Active Learning: Problem Settings and Recent Developments

8 December 2020
H. Hino
ArXiv (abs)PDFHTML

Papers citing "Active Learning: Problem Settings and Recent Developments"

20 / 20 papers shown
Info-Coevolution: An Efficient Framework for Data Model Coevolution
Ziheng Qin
Hailun Xu
Wei Chee Yew
Qi Jia
Yang Luo
Kanchan Sarkar
Danhui Guan
Xiaojiang Peng
Yang You
289
1
0
09 Jun 2025
From Selection to Generation: A Survey of LLM-based Active Learning
From Selection to Generation: A Survey of LLM-based Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yu Xia
Subhojyoti Mukherjee
Zhouhang Xie
Junda Wu
Xintong Li
...
Namyong Park
T. Nguyen
Jiebo Luo
Ryan Rossi
Julian McAuley
477
16
0
17 Feb 2025
Solving 0-1 Integer Programs with Unknown Knapsack Constraints Using Membership Oracles
Solving 0-1 Integer Programs with Unknown Knapsack Constraints Using Membership Oracles
Rosario Messana
Rui Chen
Andrea Lodi
A. Ceselli
421
1
0
23 May 2024
Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies
Adaptive Combinatorial Maximization: Beyond Approximate Greedy PoliciesInternational Conference on Algorithmic Learning Theory (ALT), 2024
Shlomi Weitzman
Sivan Sabato
225
0
0
02 Apr 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
309
12
0
15 Mar 2024
Improving Uncertainty Sampling with Bell Curve Weight Function
Improving Uncertainty Sampling with Bell Curve Weight Function
Zan-Kai Chong
Hiroyuki Ohsaki
B. Goi
95
2
0
03 Mar 2024
Improve Cost Efficiency of Active Learning over Noisy Dataset
Improve Cost Efficiency of Active Learning over Noisy Dataset
Zan-Kai Chong
Hiroyuki Ohsaki
Cheng-Kuan Bryan Ng
NoLa
183
1
0
02 Mar 2024
Applied metamodelling for ATM performance simulations
Applied metamodelling for ATM performance simulations
Christoffer Riis
Francisco Antunes
Tatjana Bolić
G. Gurtner
A. Cook
Carlos Lima Azevedo
Francisco Câmara Pereira
154
0
0
07 Aug 2023
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Erik Arakelyan
Arnav Arora
Isabelle Augenstein
200
16
0
01 Jun 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksNeural Information Processing Systems (NeurIPS), 2023
Chongyu Qu
Tiezheng Zhang
Hualin Qiao
Jie Liu
Yucheng Tang
Alan Yuille
Zongwei Zhou
538
72
0
16 May 2023
Sequential Experimental Design for Spectral Measurement: Active Learning
  Using a Parametric Model
Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model
Tomohiro Nabika
Kenji Nagata
S. Katakami
M. Mizumaki
M. Okada
71
1
0
11 May 2023
Graph Convolutional Networks based on Manifold Learning for
  Semi-Supervised Image Classification
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image ClassificationComputer Vision and Image Understanding (CVIU), 2022
L. P. Valem
Daniel Carlos Guimarães Pedronette
Longin Jan Latecki
GNNSSL
186
16
0
24 Apr 2023
Active Discrimination Learning for Gaussian Process Models
Active Discrimination Learning for Gaussian Process Models
Elham Yousefi
L. Pronzato
Markus Hainy
Werner G. Muller
H. Wynn
153
0
0
21 Nov 2022
Active Learning by Query by Committee with Robust Divergences
Active Learning by Query by Committee with Robust DivergencesInformation Geometry (IG), 2022
H. Hino
S. Eguchi
137
29
0
18 Nov 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
353
80
0
18 Oct 2022
Centerpoints Are All You Need in Overhead Imagery
Centerpoints Are All You Need in Overhead Imagery
James Mason Inder
Mark Lowell
A. J. Maltenfort
3DPC
210
2
0
04 Oct 2022
Cost-effective Framework for Gradual Domain Adaptation with
  Multifidelity
Cost-effective Framework for Gradual Domain Adaptation with MultifidelityNeural Networks (NN), 2022
Shogo Sagawa
H. Hino
CLL
359
7
0
09 Feb 2022
Improving Probabilistic Models in Text Classification via Active
  Learning
Improving Probabilistic Models in Text Classification via Active LearningAmerican Political Science Review (APSR), 2022
M. Bosley
Saki Kuzushima
Ted Enamorado
Y. Shiraito
223
3
0
05 Feb 2022
Impact of Stop Sets on Stopping Active Learning for Text Classification
Impact of Stop Sets on Stopping Active Learning for Text ClassificationInternational Computer Science Conference (ICSC), 2022
Luke Kurlandski
Michael Bloodgood
273
3
0
08 Jan 2022
Stopping Criterion for Active Learning Based on Error Stability
Stopping Criterion for Active Learning Based on Error Stability
Hideaki Ishibashi
H. Hino
212
14
0
05 Apr 2021
1
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