QUEST: Quantized embedding space for transferring knowledge.
Himalaya JainSpyros GidarisNikos KomodakisPatrick PérezMatthieu CordPublished in: CoRR (2019)
Keyphrases
- embedding space
- transferring knowledge
- euclidean space
- transfer learning
- low dimensional
- knowledge transfer
- manifold learning
- dimensionality reduction
- geometric structure
- input space
- high dimensional
- graph embedding
- data points
- multiple tasks
- labeled data
- geodesic distance
- euclidean distance
- semi supervised
- knowledge sharing
- vector space
- learning algorithm
- feature space
- high dimensional data
- nearest neighbor
- pattern recognition
- principal component analysis
- pairwise
- reinforcement learning