Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers.
Liwei WuShuqing LiCho-Jui HsiehJames L. SharpnackPublished in: NeurIPS (2019)
Keyphrases
- data driven
- vector space
- manifold embedding
- stochastic optimization
- low dimensional spaces
- binary codes
- low dimensional
- monte carlo
- multi layer
- manifold learning
- parameter selection
- regularization parameter
- nonlinear dimensionality reduction
- image segmentation
- regularization term
- stochastic model
- data sets
- latent space
- dimensionality reduction
- semi supervised
- single layer
- regularization methods
- feature vectors