Machine Learning Special Issue on Weakly Supervised Representation Learning

[Masashi Sugiyama]

Hi,

Representation learning typically requires a plethora of well-annotated data,
while weakly supervised learning uses less supervised information than
supervised learning.

To accelerate research on weakly supervised representation learning
we will have a special issue in the Machine Learning journal.
Looking forward to your submission!

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Machine Learning Special Issue on Weakly Supervised Representation Learning
https://www.springer.com/journal/10994/updates/19149940
Submission Deadline: November 1st, 2021:
Publication: August 2022

Editors:
Bo Han, Hong Kong Baptist University, Hong Kong SAR, China.
Tongliang Liu, The University of Sydney, Australia.
Quanming Yao, Tsinghua University / 4Paradigm Inc., China.
Mingming Gong, The University of Melbourne, Australia.
Gang Niu, RIKEN, Japan.
Ivor W. Tsang, University of Technology Sydney, Australia.
Masashi Sugiyama, RIKEN / University of Tokyo, Japan.