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We propose a novel deep network structure called "Network In Network" (NIN) to enhance model discriminability for local patches within the receptive field.
Principles of neurodynamics. perceptrons and the theory of brain mechanisms
Frank Rosenblatt · 1961
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Human face detection in visual scenes
Henry A Rowley, Shumeet Baluja, Takeo Kanade, et al · 1995
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Learning multiple layers of features from tiny images
Alex Krizhevsky and Geoffrey Hinton · 2009
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Ica with reconstruction cost for efficient overcomplete feature learning
Quoc V Le, Alexandre Karpenko, Jiquan Ngiam, and Andrew Ng · 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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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoff Hinton · 2012
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Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov · 2012
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Practical bayesian optimization of machine learning algorithms
Jasper Snoek, Hugo Larochelle, and Ryan P Adams · 2012
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Representation learning: A review and new perspectives
Y Bengio, A Courville, and P Vincent · 2013
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Piecewise linear multilayer perceptrons and dropout
Ian J Goodfellow · 2013
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Ian J Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, and Yoshua Bengio · 2013
Regularization of neural networks using dropconnect
Li Wan, Matthew Zeiler, Sixin Zhang, Yann L Cun, and Rob Fergus · 2013
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Learnable pooling regions for image classification
Mateusz Malinowski and Mario Fritz · 2013
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Discriminative transfer learning with tree-based priors
Nitish Srivastava and Ruslan Salakhutdinov · 2013
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Improving neural networks with dropout
Nitish Srivastava · 2013
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Multi-digit number recognition from street view imagery using deep convolutional neural networks
Ian J Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, and Vinay Shet · 2013
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Learning hierarchical features for scene labeling
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Knowledge matters: Importance of prior information for optimization
Çağlar Gülçehre and Yoshua Bengio · 2013
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Stochastic pooling for regularization of deep convolutional neural networks
Matthew D Zeiler and Rob Fergus · 2013
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Clément Farabet, Camille Couprie, Laurent Najman, Yann Lecun, et al · 2013
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