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University of Illinois at Urbana-Champaign

Contrasting with adversarial examples improves self-supervised representation learning

Abstract

dc:description

DSpace SAF Submission Ingestion Package generated from Vireo submission #18414 on 2022-11-16 at 10:56:42

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yuan, Meilu
Contributors dc:contributor
  • Koyejo, Oluwasanmi

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Copyright 2022 Meilu Yuan
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/115961
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/115961

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Yuan, Meilu. Contrasting with adversarial examples improves self-supervised representation learning. Thesis thesis, University of Illinois at Urbana-Champaign, 2022. https://hdl.handle.net/2142/115961