Accurate Neural Network Pruning Requires Rethinking Sparse Optimization.
Denis KuznedelevEldar KurticEugenia IofinovaElias FrantarAlexandra PesteDan AlistarhPublished in: CoRR (2023)
Keyphrases
- neural network
- image reconstruction from projections
- artificial neural networks
- pattern recognition
- genetic algorithm
- optimization algorithm
- high quality
- global optimization
- pruning method
- data sets
- sparse pca
- neural network is trained
- avoid overfitting
- highly accurate
- neural nets
- associative memory
- neural network model
- high accuracy
- prediction model
- feed forward
- constrained optimization
- fuzzy neural network
- optimization method
- back propagation
- computationally efficient