Cautious Deep Learning

Mondrian confidence machine

Vladimir Vovk, David Lindsay, Ilia Nouretdinov, and Alex Gammerman · 2003

Earlier work this paper cites.

Classification with reject option

Radu Herbei and Marten H Wegkamp · 2006

Earlier work this paper cites.

Clustering by estimation of density level sets at a fixed probability

Benoît Cadre, Bruno Pelletier, and Pierre Pudlo · 2009

Earlier work this paper cites.

Imagenet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009

Earlier work this paper cites.

Algorithmic learning in a random world

Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2009

Earlier work this paper cites.

Distribution-free prediction sets

Jing Lei, James Robins, and Larry Wasserman · 2013

Earlier work this paper cites.

Classification with confidence

Jing Lei · 2014

Earlier work this paper cites.

Distribution-free prediction bands for non-parametric regression

Jing Lei and Larry Wasserman · 2014

Cited alongside, same era.

Deep learning face attributes in the wild

Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015

Cited alongside, same era.

Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, et al · 2015

Cited alongside, same era.

Cross-conformal predictors

Vladimir Vovk · 2015

Cited alongside, same era.

Xception: Deep learning with depthwise separable convolutions

François Chollet · 2016

Cited alongside, same era.

Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016

Cited alongside, same era.

Deep expectation of real and apparent age from a single image without facial landmarks

Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2016

Later among the works it cites.

Exploring the space of adversarial images

Pedro Tabacof and Eduardo Valle · 2016

Later among the works it cites.

Foolbox v0. 8.0: A python toolbox to benchmark the robustness of machine learning models

Original

Jonas Rauber, Wieland Brendel, and Matthias Bethge · 2017

Later among the works it cites.

Least ambiguous set-valued classifiers with bounded error levels

Mauricio Sadinle, Jing Lei, and Larry Wasserman · 2017

Later among the works it cites.

Inception-v4, inception-resnet and the impact of residual connections on learning

Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi · 2017

Later among the works it cites.