Compression of Recurrent Neural Networks using Matrix Factorization.
Lucas MaisonHélion du Mas des BourbouxThomas CourtatPublished in: CoRR (2023)
Keyphrases
- matrix factorization
- recurrent neural networks
- collaborative filtering
- low rank
- neural network
- recommender systems
- reservoir computing
- missing data
- feed forward
- echo state networks
- recurrent networks
- negative matrix factorization
- factor analysis
- artificial neural networks
- nonnegative matrix factorization
- data sparsity
- factorization methods
- variational bayesian
- cascade correlation
- personalized ranking
- implicit feedback
- item recommendation
- tensor factorization
- data matrix
- stochastic gradient descent
- nonlinear dynamic systems
- face recognition