An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit.
Yerlan IdelbayevMiguel Á. Carreira-PerpiñánPublished in: IJCNN (2021)
Keyphrases
- low rank
- neural network
- matrix factorization
- missing data
- linear combination
- convex optimization
- matrix completion
- rank minimization
- low rank matrix
- singular value decomposition
- matrix decomposition
- semi supervised
- high order
- high dimensional data
- pattern recognition
- minimization problems
- compression algorithm
- trace norm
- low rank matrices
- robust principal component analysis
- data sets
- singular values
- compression ratio
- machine learning
- original data
- image compression
- data analysis
- low rank and sparse