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Deep ensembles have been empirically shown to be a promising approach for improving accuracy, uncertainty and out-of-distribution robustness of deep learning models.
Verification of forecasts expressed in terms of probability
Glenn W Brier · 1950
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Bayesian methods for adaptive models
David JC MacKay · 1992
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Bayesian Learning for Neural Networks
Radford M. Neal · 1996
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Bagging predictors
Leo Breiman · 1996
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Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton · 2008
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 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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Bayesian Learning via Stochastic Gradient Langevin Dynamics
Max Welling and Yee Whye Teh · 2011
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Practical variational inference for neural networks
Alex Graves · 2011
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Reading Digits in Natural Images with Unsupervised Feature Learning
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, and Andrew Y Ng · 2011
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Qualitatively characterizing neural network optimization problems
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Diederik P Kingma and Jimmy Ba · 2015
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Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, and Frank Hutter · 2016
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Essentially no barriers in neural network energy landscape
Felix Draxler, Kambis Veschgini, Manfred Salmhofer, and Fred A Hamprecht · 2018
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Measuring the intrinsic dimension of objective landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu, and Jason Yosinski · 2018
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Averaging weights leads to wider optima and better generalization
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry Vetrov, and Andrew Gordon Wilson · 2018
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Stochastic gradient descent as approximate Bayesian inference
Stephan Mandt, Matthew D Hoffman, and David M Blei · 2018
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Can you trust your model’s uncertainty? Evaluating predictive uncertainty under dataset shift
Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, D Sculley, Sebastian Nowozin, Joshua V Dillon, Balaji Lakshminarayanan, and Jasper Snoek · 2019
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