Accurate Neural Network Pruning Requires Rethinking Sparse Optimization.
Denis KuznedelevEldar KurticEugenia IofinovaElias FrantarAlexandra PesteDan AlistarhPublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- neural network
- pattern recognition
- avoid overfitting
- back propagation
- image reconstruction from projections
- global optimization
- optimization algorithm
- optimization problems
- optimization process
- optimization model
- highly non linear
- genetic algorithm
- high accuracy
- artificial neural networks
- sparse representation
- neural network is trained
- sparse pca
- high dimensional
- computationally efficient
- bp neural network
- sparse data
- multi layer
- optimal configuration
- technology enhanced learning
- fuzzy logic
- data sets
- network model
- highly accurate
- optimization methods
- sparse coding
- feed forward
- combinatorial optimization
- fault diagnosis
- evolutionary algorithm
- support vector machine