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Recent advances in one-shot learning have produced models that can learn from a handful of labeled examples, for passive classification and regression tasks.
Neural network ensembles, cross validation, and active learning
Anders Krogh, Jesper Vedelsby, et al · 1995
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Active learning with support vector machine applied to gene expression data for cancer classification
Ying Liu · 2004
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Active learning to improve the detection of unknown computer worms activity
Robert Moskovitch, Nir Nissim, Roman Englert, and Yuval Elovici · 2008
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Active learning literature survey
Burr Settles · 2009
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Unbiased online active learning in data streams
Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, and Belle Tseng · 2011
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Single-pass active learning with conflict and ignorance
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Diederik P. Kingma, Danilo Jimenez Rezende, Shakir Mohamed, and Max Welling · 2014
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Human-level concept learning through probabilistic program induction
Brendan M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
Shiv: Reducing supervisor burden in dagger using support vectors for efficient learning from demonstrations in high dimensional state spaces
Michael Laskey, Sam Staszak, Wesley Yu-Shu Hsieh, Jeffrey Mahler, Florian T Pokorny, Anca D Dragan, and Ken Goldberg · 2016
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Query-efficient imitation learning for end-to-end autonomous driving
Jiakai Zhang and Kyunghyun Cho · 2016
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One-shot learning with memory-augmented neural networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy P. Lillicrap · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy P. Lillicrap, Koray Kavukcuoglu, and Daan Wierstra · 2016
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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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
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