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Deep Learning has attracted significant attention in recent years.
Mémoire sur le problème d’analyse relatif à l’équilibre des plaques élastiques encastrées
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The numerical solution of variational problems
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Receptive fields, binocular interaction, and functional architecture in the cat’s visual cortex
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A theory of adaptive pattern classifiers
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Applied optimal control: optimization, estimation, and control
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Automated network design - the frequency-domain case
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The computational solution of optimal control problems with time lag
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Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences
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Taylor expansion of the accumulated rounding error
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Neural network model for a mechanism of pattern recognition unaffected by shift in position - neocognitron
K. Fukushima · 1979
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Neocognitron: A self-organizing neural network for a mechanism of pattern recognition unaffected by shift in position
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Modular learning in neural networks
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The utility driven dynamic error propagation network
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Implications of recursive distributed representations
J. B. Pollack · 1988
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Generalization of backpropagation with application to a recurrent gas market model
P. J. Werbos · 1988
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The Algebraic Eigenvalue Problem
J. H. Wilkinson, editor · 1988
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Connectionist learning procedures
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Back-propagation applied to handwritten zip code recognition
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Learning state space trajectories in recurrent neural networks
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A local learning algorithm for dynamic feedforward and recurrent networks
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Complexity of exact gradient computation algorithms for recurrent neural networks
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Document Image Defect Models
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Handwritten digit recognition with a back-propagation network
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The strength of weak learnability
R. E. Schapire · 1990
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Untersuchungen zu dynamischen neuronalen Netzen. Diploma thesis, Institut für Informatik, Lehrstuhl Prof. Brauer, Technische Universität München, 1991
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Neural sequence chunkers
J. Schmidhuber · 1991
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A fixed size storage O ( n 3 ) O(n^{3}) time complexity learning algorithm for fully recurrent continually running networks
J. Schmidhuber · 1992
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Learning complex, extended sequences using the principle of history compression
J. Schmidhuber · 1992
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Netzwerkarchitekturen, Zielfunktionen und Kettenregel. (Network Architectures, Objective Functions, and Chain Rule.) Habilitationsschrift (Habilitation Thesis), Institut für Informatik, Technische Universität München, 1993
Flexible, high performance convolutional neural networks for image classification
D. C. Ciresan, U. Meier, J. Masci, L. M. Gambardella, and J. Schmidhuber · 2011
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A committee of neural networks for traffic sign classification
D. C. Ciresan, U. Meier, J. Masci, and J. Schmidhuber · 2011
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Learning recurrent neural networks with Hessian-free optimization
J. Martens and I. Sutskever · 2011
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On fast deep nets for AGI vision
J. Schmidhuber, D. Ciresan, U. Meier, J. Masci, and A. Graves · 2011
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Traffic sign recognition with multi-scale convolutional networks
P. Sermanet and Y. LeCun · 2011
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INI German Traffic Sign Recognition Benchmark for the IJCNN’11 Competition, 2011
J. Stallkamp, M. Schlipsing, J. Salmen, and C. Igel · 2011
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J. Schmidhuber · 1993
Cited alongside, same era.
Continuous history compression
J. Schmidhuber, M. C. Mozer, and D. Prelinger · 1993
Cited alongside, same era.
Learning long-term dependencies with gradient descent is difficult
Y. Bengio, P. Simard, and P. Frasconi · 1994
Cited alongside, same era.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Cited alongside, same era.
Natural gradient works efficiently in learning
S.-I. Amari · 1998
Cited alongside, same era.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Cited alongside, same era.
Neural Networks: Tricks of the Trade
G. Orr and K. Müller · 1998
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KurzweilAI: http://www.kurzweilai.net/how-bio-inspired-deep-learning-keeps-winning-competitions
A. Angelica interviews J. Schmidhuber: How Bio-Inspired Deep Learning Keeps Winning Competitions, 2012 · 2012
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ICPR 2012 Contest on Mitosis Detection in Breast Cancer Histological Images. Organizers: IPAL Laboratory, TRIBVN Company, Pitie-Salpetriere Hospital, CIALAB of Ohio State Univ., 2012
2012
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Segmentation of Neuronal Structures in EM Stacks Challenge - IEEE International Symposium on Biomedical Imaging (ISBI), 2012
2012
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Deep neural networks segment neuronal membranes in electron microscopy images
D. C. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber · 2012
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Multi-column deep neural network for traffic sign classification
D. C. Ciresan, U. Meier, J. Masci, and J. Schmidhuber · 2012
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Multi-column deep neural networks for image classification
D. C. Ciresan, U. Meier, and J. Schmidhuber · 2012
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Multi-column deep neural networks for image classification
D. C. Ciresan, U. Meier, and J. Schmidhuber · 2012
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Transfer learning for Latin and Chinese characters with deep neural networks
D. C. Ciresan, U. Meier, and J. Schmidhuber · 2012
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Large-scale feature learning with spike-and-slab sparse coding
I. J. Goodfellow, A. C. Courville, and Y. Bengio · 2012
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Documenta Mathematica - Extra Volume ISMP
A. Griewank · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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How to Create a Mind: The Secret of Human Thought Revealed
R. Kurzweil · 2012
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Neural Networks: Tricks of the Trade
G. Montavon, G. Orr, and K. Müller · 2012
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The A2iA Arabic Handwritten Text Recognition System at the OpenHaRT2013 Evaluation
T. Bluche, J. Louradour, M. Knibbe, B. Moysset, F. Benzeghiba, and C. Kermorvant · 2013
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Mitosis detection in breast cancer histology images using deep neural networks
D. C. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber · 2013
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Multi-column deep neural networks for offline handwritten Chinese character classification
D. C. Ciresan and J. Schmidhuber · 2013
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Deep learning with COTS HPC systems
A. Coates, B. Huval, T. Wang, D. J. Wu, A. Y. Ng, and B. Catanzaro · 2013
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Artificial vision by multi-layered neural networks: Neocognitron and its advances
K. Fukushima · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2013
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Speech recognition with deep recurrent neural networks
A. Graves, A. Mohamed, and G. E. Hinton · 2013
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Fast image scanning with deep max-pooling convolutional neural networks
J. Masci, D. C. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber · 2013
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A fast learning algorithm for image segmentation with max-pooling convolutional networks
J. Masci, A. Giusti, D. C. Ciresan, G. Fricout, and J. Schmidhuber · 2013
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Mitosis detection in breast cancer histological images - an ICPR 2012 contest
L. Roux, D. Racoceanu, N. Lomenie, M. Kulikova, H. Irshad, J. Klossa, F. Capron, C. Genestie, G. L. Naour, and M. N. Gurcan · 2013
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MICCAI 2013 Grand Challenge on Mitosis Detection (organisers), 2013
M. Veta, M. Viergever, J. Pluim, N. Stathonikos, and P. J. van Diest · 2013
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2013
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