Improved Regularization of Convolutional Neural Networks with Cutout

Gradient-based learning applied to document recognition

Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998

Earlier work this paper cites.

Learning multiple layers of features from tiny images

A. Krizhevsky and G. Hinton · 2009

Earlier work this paper cites.

Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion

P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol · 2010

Earlier work this paper cites.

Deep learners benefit more from out-of-distribution examples

Y. Bengio, A. Bergeron, N. Boulanger-Lewandowski, T. Breuel, Y. Chherawala, et al · 2011

Earlier work this paper cites.

An analysis of single-layer networks in unsupervised feature learning

A. Coates, A. Ng, and H. Lee · 2011

Earlier work this paper cites.

Reading digits in natural images with unsupervised feature learning

Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Y. Ng · 2011

Earlier work this paper cites.

Improving neural networks by preventing co-adaptation of feature detectors

Original

G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov · 2012

Earlier work this paper cites.

Imagenet classification with deep convolutional neural networks

A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012

Earlier work this paper cites.

Dropout: A simple way to prevent neural networks from overfitting

N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014

Cited alongside, same era.

Deeppose: Human pose estimation via deep neural networks

A. Toshev and C. Szegedy · 2014

Cited alongside, same era.

Fully convolutional networks for semantic segmentation

J. Long, E. Shelhamer, and T. Darrell · 2015

Cited alongside, same era.

Efficient object localization using convolutional networks

J. Tompson, R. Goroshin, A. Jain, Y. LeCun, and C. Bregler · 2015

Cited alongside, same era.

Show and tell: A neural image caption generator

O. Vinyals, A. Toshev, S. Bengio, and D. Erhan · 2015

Cited alongside, same era.

Towards dropout training for convolutional neural networks

H. Wu and X. Gu · 2015

Cited alongside, same era.

An analysis of deep neural network models for practical applications

A. Canziani, A. Paszke, and E. Culurciello · 2016

Later among the works it cites.

Identity mappings in deep residual networks

K. He, X. Zhang, S. Ren, and J. Sun · 2016

Later among the works it cites.

Analysis on the dropout effect in convolutional neural networks

S. Park and N. Kwak · 2016

Later among the works it cites.

Context encoders: Feature learning by inpainting

D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, and A. A. Efros · 2016

Later among the works it cites.

Wide residual networks

Original

S. Zagoruyko and N. Komodakis · 2016

Later among the works it cites.

Shake-shake regularization

Original