Machine Learning
Active learning, Dimensionality reduction, Feature selection, Graphical models, Imitation Learning, Latent variable models, Learning for big data, Learning from noisy supervision, Learning in graphs, Multi-objective learning, etc.
Submission Deadline:
June 30, 2026
Notification Deadline:
July 30, 2026
Registration Deadline:
August 15, 2026

The 4th International Conference on
Machine Learning and Pattern Recognition
(MLPR 2026) will be held at Kyoto, Japan
during December 4-6, 2026. MLPR 2026 is
sponsored by Ritsumeikan University, Japan.
The conference includes keynote talks,
invited talks, forums and oral and poster
presentations of author papers.
We invite submissions of papers on all
topics related to machine learning and
pattern recognition for the main conference
proceedings. All papers will be reviewed in
a double-blind process and accepted papers
will be presented at the conference.
Sponsored by:


The conference calls for high-quality, unpublished, original research papers in the theory and practice of machine learning and pattern recognition. We encourage submissions from all over the world. Topics of interest include but are not limited to:
Active learning, Dimensionality reduction, Feature selection, Graphical models, Imitation Learning, Latent variable models, Learning for big data, Learning from noisy supervision, Learning in graphs, Multi-objective learning, etc.
Analysis and detection of singularities, Animation image analysis, Artificial life, Biomedical imaging, Descriptor of shapes, Diagnosis of faults, Document analysis, Emotion computation, etc.