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In active learning, the size and complexity of the training dataset changes over time.
MNIST handwritten digit database, 1998
Yann LeCun, Corinna Cortes, and C Burges · 1998
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Active learning literature survey
Burr Settles · 2010
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Practical variational inference for neural networks
Alex Graves · 2011
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Bayesian active learning for classification and preference learning
Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani, and Máté Lengyel · 2011
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Visualizing and understanding convolutional networks
Matthew D. Zeiler and Rob Fergus · 2014
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Weight uncertainty in neural networks
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra · 2015
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Probabilistic backpropagation for scalable learning of Bayesian neural networks
José Miguel Hernández-Lobato and Ryan Adams · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Cited alongside, same era.
Variational dropout and the local reparameterization trick
Durk P Kingma, Tim Salimans, and Max Welling · 2015
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Dropout as a Bayesian approximation: Representing model uncertainty in deep learning
Yarin Gal and Zoubin Ghahramani · 2016
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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
‘In-between’ uncertainty in Bayesian neural networks
Andrew Y. K. Foong, Yingzhen Li, José Miguel Hernández-Lobato, and Richard E. Turner · 2019
Cited alongside, same era.
Depth uncertainty in neural networks
Javier Antorán, James Allingham, and José Miguel Hernández-Lobato · 2020
Later among the works it cites.
Variational depth search in ResNets
Javier Antorán, James Urquhart Allingham, and José Miguel Hernández-Lobato · 2020
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Underspecification presents challenges for credibility in modern machine learning. arxiv 2020
A D’Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, C Chen, J Deaton, J Eisenstein, MD Hoffman, et al · 2020
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Subspace inference for Bayesian deep learning
Pavel Izmailov, Wesley J Maddox, Polina Kirichenko, Timur Garipov, Dmitry Vetrov, and Andrew Gordon Wilson · 2020
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On statistical bias in active learning: How and when to fix it
Sebastian Farquhar, Yarin Gal, and Tom Rainforth · 2021
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Model selection in bayesian neural networks via horseshoe priors
Soumya Ghosh, Jiayu Yao, and Finale Doshi-Velez · 2019
Cited alongside, same era.
Andreas Kirsch, Sebastian Farquhar, and Yarin Gal · 2021
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