Simplifying neural networks by soft weight-sharing

Keeping the neural networks simple by minimizing the description length of the weights

COLT '93 Proceedings of the sixth annual conference on Computational learning theory

Original Contribution: Model-based neural networks

Neural Networks

Dynamic model of visual recognition predicts neural response properties in the visual cortex

Neural Computation

Flat minima

Neural Computation

Controlling hidden layer capacity through lateral connections

Neural Computation

Neural feature abstraction from judgements of similarity

Neural Computation

Learning Team Strategies: Soccer Case Studies

Machine Learning

A Simple Neural Network Pruning Algorithm with Application to Filter Synthesis

Neural Processing Letters

Reinforcement Learning Soccer Teams with Incomplete World Models

Autonomous Robots

An approach to guaranteeing generalisation in neural networks

Neural Networks

A Constrained Generative Model Applied to Face Detection

Neural Processing Letters

Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Structuring Neural Networks through Bidirectional Clustering of Weights

DS '02 Proceedings of the 5th International Conference on Discovery Science

On different facets of regularization theory

Neural Computation

Neural networks

Handbook of data mining and knowledge discovery

Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms

Neural Networks

A cooperative constructive method for neural networks for pattern recognition

Pattern Recognition

Dynamic support vector machines for non-stationary time series forecasting

Intelligent Data Analysis

Modified constrained learning algorithms incorporating additional functional constraints into neural networks

Information Sciences: an International Journal

How to shift bias: Lessons from the baldwin effect

Evolutionary Computation

Hopfield Network as Static Optimizer: Learning the Weights and Eliminating the Guesswork

Neural Processing Letters

Using neural networks to model conditional multivariate densities

Neural Computation

A smoothing regularizer for feedforward and recurrent neural networks

Neural Computation

The effects of adding noise during backpropagation training on a generalization performance

Neural Computation

Finding the embedding dimension and variable dependencies in time series

Neural Computation

Combining exploratory projection pursuit and projection pursuit regression with application to neural networks

Neural Computation

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

Proceedings of the 25th international conference on Machine learning

Enhancing the generalization ability of neural networks through controlling the hidden layers

Applied Soft Computing

Evolutionary algorithm-based learning of fuzzy neural networks. Part 2: Recurrent fuzzy neural networks

Fuzzy Sets and Systems

Boundedness and convergence of online gradient method with penalty for feedforward neural networks

IEEE Transactions on Neural Networks

Fuzzy time series prediction method based on fuzzy recurrent neural network

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Robust extraction of fuzzy rules with artificial neural network based on fuzzy inference system

International Journal of Intelligent Information and Database Systems

Deterministic annealing integrated withε-insensitive learning in neuro-fuzzy systems

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing