Exploring Semantic Variations in GAN Latent Spaces via Matrix Factorization.
Andrey PalaevRustam A. LukmanovAdil KhanPublished in: Tiny Papers @ ICLR (2023)
Keyphrases
- matrix factorization
- latent space
- latent factors
- collaborative filtering
- low rank
- missing data
- factor analysis
- recommender systems
- factorization methods
- data sparsity
- negative matrix factorization
- nonnegative matrix factorization
- stochastic gradient descent
- item recommendation
- data matrix
- personalized ranking
- implicit feedback
- latent variables
- factorization method
- tensor factorization
- binary matrix
- latent factor models
- image processing
- probabilistic matrix factorization