Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution.
Tim WhitakerDarrell WhitleyPublished in: GECCO Companion (2023)
Keyphrases
- fine tuning
- neural network
- genetic algorithm
- high dimensional
- evolutionary process
- viable alternative
- evolutionary algorithm
- fine tune
- regularized regression
- low dimensional
- natural selection
- genetic algorithm ga
- low rank representation
- feature space
- pattern recognition
- sparse data
- neural network model
- subspace clustering
- differential evolution
- dimensionality reduction
- principal component analysis
- genetic programming
- singular vectors
- fine tuned
- high dimensional data
- back propagation
- basis vectors
- compressive sensing
- lower dimensional
- fitness function
- sparse representation
- artificial neural networks
- multi layer
- low rank
- recurrent neural networks
- random projections
- singular value decomposition
- feed forward
- sparse approximation
- rank minimization
- orthogonal matching pursuit
- principal components
- linear combination
- sparse coding