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  Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data

Kukleva, A., Boehle, M., Schiele, B., Kuehne, H., & Rupprecht, C. (2023). Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. In Eleventh International Conference on Learning Representations. OpenReview.net.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-45D5-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0010-45D6-F
Genre: Conference Paper

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Locator:
https://openreview.net/forum?id=ejHUr4nfHhD (Any fulltext)
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OA-Status:
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 Creators:
Kukleva, Anna1, Author           
Boehle, Moritz1, Author           
Schiele, Bernt1, Author                 
Kuehne, Hilde2, Author
Rupprecht, Christian2, Author
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20232023
 Publication Status: Published online
 Pages: 15 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Kukleva_ICLR23
 Degree: -

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Title: Eleventh International Conference on Learning Representations
Place of Event: Kigali, Rwanda
Start-/End Date: 2023-05-01 - 2023-05-05

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Title: Eleventh International Conference on Learning Representations
  Abbreviation : ICLR 2023
  Subtitle : Poster
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: OpenReview.net
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: URI: https://openreview.net/group?id=ICLR.cc/2023/Conference#poster