info coming from bengio
Restricted Boltzmann Machines
[1] Unsupervised learning of distributions of binary vectors using 2-layer networks
[2] A practical guide to training restricted Boltzmann machines
[3] Training restricted Boltzmann machines using approximations to the likelihood gradient
[4] Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machine
[5] How to Center Binary Restricted Boltzmann Machines
[6] Enhanced Gradient for Training Restricted Boltzmann Machines
[7] Using fast weights to improve persistent contrastive divergence
[8] Training Products of Experts by Minimizing Contrastive Divergence
Boltzmann Machines
[1] Deep Boltzmann Machines (Salakhutdinov & Hinton)
[2] Multimodal Learning with Deep Boltzmann Machines
[3] Multi-Prediction Deep Boltzmann Machines
[4] A Two-stage Pretraining Algorithm for Deep Boltzmann Machines
Regularized Auto-Encoders
[1] The Manifold Tangent Classifier
Regularization
Stochastic Nets & GSNs
[1] Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
[2] Learning Stochastic Feedforward Neural Networks
[3] Generalized Denoising Auto-Encoders as Generative Models
[4] Deep Generative Stochastic Networks Trainable by Backprop
Others
[1] Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
[2] What Regularized Auto-Encoders Learn from the Data Generating Distribution
[3] Generalized Denoising Auto-Encoders as Generative Models