Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization.
Alireza BordbarMohammad Hossein KahaeiPublished in: CoRR (2022)
Keyphrases
- matrix factorization
- low memory
- neural network
- collaborative filtering
- low rank
- binary matrix
- missing data
- recommender systems
- factorization methods
- memory requirements
- data sparsity
- factor analysis
- nonnegative matrix factorization
- negative matrix factorization
- binary data
- stochastic gradient descent
- probabilistic matrix factorization
- item recommendation
- latent factors
- transform coding
- recommendation systems
- image compression
- tensor factorization
- image processing
- personalized ranking
- computer vision