Embedding Dimension of Contrastive Learning and k-Nearest Neighbors
–Neural Information Processing Systems
We study the embedding dimension of distance comparison data in two settings: contrastive learning and k -nearest neighbors ( k -NN).
Neural Information Processing Systems
Oct-10-2025, 01:22:29 GMT
- Country:
- Africa
- Ethiopia > Addis Ababa
- Addis Ababa (0.04)
- Rwanda > Kigali
- Kigali (0.04)
- Ethiopia > Addis Ababa
- Asia > Middle East
- Europe
- North America
- Canada
- Dominican Republic (0.04)
- United States
- California
- Los Angeles County > Long Beach (0.04)
- Santa Cruz County > Santa Cruz (0.04)
- Massachusetts
- Middlesex County > Cambridge (0.04)
- Suffolk County > Boston (0.04)
- Washington > King County
- Seattle (0.04)
- Michigan (0.04)
- Illinois > Cook County
- Evanston (0.04)
- Utah > Salt Lake County
- Salt Lake City (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Arizona > Maricopa County
- Scottsdale (0.04)
- Maryland > Baltimore (0.04)
- California
- South America > Chile
- Africa
- Genre:
- Research Report > Experimental Study (0.92)