Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization.
Bo-Shiuan ChuChe-Rung LeePublished in: CoRR (2021)
Keyphrases
- tensor decomposition
- low rank
- convolutional neural networks
- rank minimization
- trace norm
- missing data
- convex optimization
- high order
- linear combination
- matrix factorization
- singular value decomposition
- low rank matrix
- matrix completion
- high dimensional data
- semi supervised
- auxiliary information
- regularization parameter
- singular values
- data matrix
- active learning
- training data
- image processing
- nearest neighbor
- pairwise