Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers.
Liwei WuShuqing LiCho-Jui HsiehJames SharpnackPublished in: CoRR (2019)
Keyphrases
- data driven
- vector space
- manifold embedding
- binary codes
- low dimensional spaces
- multi layer
- latent space
- dimensionality reduction
- regularization parameter
- nonlinear dimensionality reduction
- learning automata
- parameter selection
- data hiding
- manifold learning
- watermarking algorithm
- euclidean space
- convex optimization
- monte carlo
- regularization method
- high dimensional data
- low dimensional