Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution.
Tim WhitakerDarrell WhitleyPublished in: CoRR (2023)
Keyphrases
- fine tuning
- neural network
- genetic algorithm
- high dimensional
- fine tune
- evolutionary process
- regularized regression
- viable alternative
- low dimensional
- natural selection
- sparse representation
- low rank representation
- evolutionary algorithm
- pattern recognition
- genetic algorithm ga
- singular vectors
- fine tuned
- fuzzy logic
- high dimensional data
- rank minimization
- subspace learning
- singular value decomposition
- sparse coding
- dimensionality reduction
- principal component analysis
- neural nets
- basis vectors
- feature space
- nearest neighbor
- population size
- feature extraction
- differential evolution
- feed forward
- linear subspace
- multilayer perceptron
- recurrent neural networks
- general purpose
- self organizing maps
- linear discriminant analysis
- elastic net
- neural network model
- low rank
- artificial life
- crossover operator
- random projections
- compressed sensing
- subspace methods
- sparse data