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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

4
30
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998
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Papers (including subtopics)

Adaptive dropout for training deep neural networks NIPS 2013
Image Matting with Local and Nonlocal Smooth Priors CVPR 2013
Fast dropout training ICML 2013
Gated Autoencoders with Tied Input Weights ICML 2013
Regularization of Neural Networks using DropConnect ICML 2013
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
Kernel Descriptors for Visual Recognition NIPS 2010
Learning to combine foveal glimpses with a third-order Boltzmann machine NIPS 2010
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010
Why Does Unsupervised Pre-training Help Deep Learning? JMLR 2010
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NIPS 2009
Exploring Strategies for Training Deep Neural Networks JMLR 2009
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009
Deep Learning with Kernel Regularization for Visual Recognition NIPS 2008
Greedy Layer-Wise Training of Deep Networks NIPS 2006