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Keyword

active learning (machine learning)

Description: A machine-learning strategy in which a model selects informative examples for labeling to improve its performance with fewer labeled data.
Wikidata ID: wiki/Q4677561
OpenAlex ID: keywords/active-learning-machine-learning
Combining labeled and unlabeled data with co-training
1998 · Avrim Blum, Tom Mitchell · 5,591
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Active Learning Literature Survey
2009 · Burr Settles · Minds at UW (University of Wisconsin) · 4,791
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A Survey on Multi-Task Learning
2021 · Yu Zhang, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2,893
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Recent advances and applications of machine learning in solid-state materials science
2019 · Jonathan Schmidt, Mário R. G. Marques, et al. · npj Computational Materials · 2,619
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Active Learning with Statistical Models
1996 · D. A. Cohn, Z. Ghahramani, et al. · Journal of Artificial Intelligence Research · 2,052
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AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
2011 · B. Echard, N. Gayton, et al. · Structural Safety · 2,040
Neural Network Ensembles, Cross Validation, and Active Learning
1994 · Anders Krogh, Jesper Vedelsby · 1,835
An Introduction to Computational Learning Theory
1994 · Michael J. Kearns, Umesh Vazirani · The MIT Press eBooks · 1,702
Query by committee
1992 · H. S. Seung, M. Opper, et al. · 1,651
Improving Generalization with Active Learning
1994 · David Cohn, Les Atlas, et al. · Machine Learning · 1,592
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Accelerated discovery of CO2 electrocatalysts using active machine learning
2020 · Miao Zhong, Kevin Tran, et al. · Nature · 1,538
Dataset Shift in Machine Learning
2008 · The MIT Press eBooks · 1,537
Using DeepLabCut for 3D markerless pose estimation across species and behaviors
2019 · Tanmay Nath, Alexander Mathis, et al. · Nature Protocols · 1,507
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Support vector machine active learning for image retrieval
2001 · Simon Tong, Edward Chang · ACM International Conference on Multimedia (ACM MM) · 1,344
Computational Methods of Feature Selection
2007 · Chapman & Hall/CRC eBooks · 1,283
A scalable active framework for region annotation in 3D shape collections
2016 · Li Yi, Vladimir G. Kim, et al. · ACM Transactions on Graphics · 1,234
Information-Based Objective Functions for Active Data Selection
1992 · David J. C. MacKay · Neural Computation · 1,221
A Sequential Algorithm for Training Text Classifiers
1994 · David D. Lewis, William A. Gale · Springer eBooks · 1,190
Active Learning
2012 · Burr Settles · 1,183
Heterogeneous Uncertainty Sampling for Supervised Learning
1994 · David D. Lewis, Jason Catlett · Elsevier eBooks · 1,183
A Survey of Deep Active Learning
2021 · Pengzhen Ren, Yun Xiao, et al. · ACM Computing Surveys · 1,164
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An open source machine learning framework for efficient and transparent systematic reviews
2021 · Rens van de Schoot, Jonathan de Bruin, et al. · Nature Machine Intelligence · 1,143
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Intrinsic Motivation Systems for Autonomous Mental Development
2007 · Pierre-Yves Oudeyer, Frdric Kaplan, et al. · IEEE Transactions on Evolutionary Computation · 1,126
Ensemble learning for data stream analysis: A survey
2017 · Bartosz Krawczyk, Leandro L. Minku, et al. · Information Fusion · 1,048
Human-in-the-loop machine learning: a state of the art
2022 · Eduardo Mosqueira-Rey, Elena Hernández-Pereira, et al. · Artificial Intelligence Review · 1,037
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Works count: 23,480
Citation count: 359,500
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