skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


This content will become publicly available on August 27, 2025

Title: Contrastive learning relies more on spatial inductive bias than supervised learning: an empirical study
Award ID(s):
2106825
PAR ID:
10536598
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
IEEE
Date Published:
Journal Name:
IEEE International Conference on Computer Vision Workshops
ISSN:
2473-9936
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; (, ICLR 2023 Workshop on Backdoor Attacks and Defenses in Machine Learning (BANDS))
  2. ; (, Innovating the Network for Data-Intensive Science)
    null (Ed.)
  3. ; ; (, IEEE Access)
  4. ; (, 2020 American Control Conference (ACC))
  5. ; (, 2019 American Control Conference (ACC))
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email