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Empirical Inference Conference Paper 2023

Can semi-supervised learning use all the data effectively? A lower bound perspective

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Empirical Inference
Amartya Sanyal
  • Postdoctoral Researcher

Author(s): Tifrea*, A. and Yüce*, G. and Sanyal, A. and Yang, F.
Book Title: Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Volume: 36
Pages: 21960--21982
Year: 2023
Month: December
Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine
Publisher: Curran Associates, Inc.
Bibtex Type: Conference Paper (conference)
Event Name: 37th Annual Conference on Neural Information Processing Systems
Event Place: New Orleans, USA
State: Published
URL: https://proceedings.neurips.cc/paper_files/paper/2023/file/458fa8ee331566383d8e74bdb647f829-Paper-Conference.pdf
Electronic Archiving: grant_archive
Note: *equal contribution

BibTex 

@conference{YucTifSanYan23,
  title = {Can semi-supervised learning use all the data effectively? A lower bound perspective},
  booktitle = {Advances in Neural Information Processing Systems 36 (NeurIPS 2023)},
  volume = {36},
  pages = {21960--21982},
  editors = {A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
  publisher = {Curran Associates, Inc.},
  month = dec,
  year = {2023},
  note = {*equal contribution},
  slug = {yuctifsanyan23},
  author = {Tifrea*, A. and Y{\"u}ce*, G. and Sanyal, A. and Yang, F.},
  url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/458fa8ee331566383d8e74bdb647f829-Paper-Conference.pdf},
  month_numeric = {12}
}