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Active learning aims to select a small subset of data for annotation such that a classifier learned on the data is highly accurate.
Query by committee
H Sebastian Seung, Manfred Opper, and Haim Sompolinsky. 1992 · 1992
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A sequential algorithm for training text classifiers
David D Lewis and William A Gale. 1994 · 1994
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Employing em and pool-based active learning for text classification
Andrew Kachites McCallumzy and Kamal Nigamy. 1998 · 1998
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Active learning for natural language parsing and information extraction
Cynthia A Thompson, Mary Elaine Califf, and Raymond J Mooney. 1999 · 1999
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001
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Toward optimal active learning through monte carlo estimation of error reduction
Nicholas Roy and Andrew McCallum. 2001 · 2001
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Support vector machine active learning with applications to text classification
Simon Tong and Daphne Koller. 2001 · 2001
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Shaping and Policy Search in Reinforcement Learning
Andrew Y. Ng. 2003 · 2003
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Multi-criteria-based active learning for named entity recognition
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, and Chew-Lim Tan. 2004 · 2004
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An approach to text corpus construction which cuts annotation costs and maintains reusability of annotated data
Katrin Tomanek, Joachim Wermter, and Udo Hahn. 2007 · 2007
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An analysis of active learning strategies for sequence labeling tasks
Burr Settles and Mark Craven. 2008 · 2008
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Active learning literature survey
Burr Settles. 2010 · 2010
Cited alongside, same era.
Deep learning of representations for unsupervised and transfer learning
Yoshua Bengio. 2012 · 2012
Cited alongside, same era.
Learning a part-of-speech tagger from two hours of annotation
Dan Garrette and Jason Baldridge. 2013 · 2013
Cited alongside, same era.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Cited alongside, same era.
Bilingual active learning for relation classification via pseudo parallel corpora
Longhua Qian, Haotian Hui, Yanan Hu, Guodong Zhou, and Qiaoming Zhu. 2014 · 2014
Cited alongside, same era.
Multiple object recognition with visual attention
Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu. 2015 · 2015
Cited alongside, same era.
Massively multilingual word embeddings
Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, and Noah A Smith. 2016 · 2016
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Playing FPS games with deep reinforcement learning
Guillaume Lample and Devendra Singh Chaplot. 2016 · 2016
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End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel. 2016 · 2016
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Improving information extraction by acquiring external evidence with reinforcement learning
Karthik Narasimhan, Adam Yala, and Regina Barzilay. 2016 · 2016
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Actor-mimic: Deep multitask and transfer reinforcement learning
Emilio Parisotto, Jimmy Lei Ba, and Ruslan Salakhutdinov. 2016 · 2016
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Move evaluation in go using deep convolutional neural networks
Chris J Maddison, Aja Huang, Ilya Sutskever, and David Silver. 2015 · 2015
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. 2015 · 2015
Cited alongside, same era.
Massively parallel methods for deep reinforcement learning
Arun Nair, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu, and David Silver. 2015 · 2015
Cited alongside, same era.
Simple semi-supervised pos tagging
Karl Stratos and Michael Collins. 2015 · 2015
Cited alongside, same era.
Embed to control: A locally linear latent dynamics model for control from raw images
Manuel Watter, Jost Springenberg, Joschka Boedecker, and Martin Riedmiller. 2015 · 2015
Cited alongside, same era.
Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell. 2016 · 2016
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al. 2016 · 2016
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Dueling network architectures for deep reinforcement learning
Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, and Nando de Freitas. 2016 · 2016
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Name tagging for low-resource incident languages based on expectation-driven learning
Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, and Daniel Marcu. 2016 · 2016
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Model transfer for tagging low-resource languages using a bilingual dictionary
Meng Fang and Trevor Cohn. 2017 · 2017
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