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Workshop on Open-World Robust Machine Learning at PRICAI 2026 (OWRML 2026)

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Programme

Provisional

7 sessions

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Call for Papers

Submissions are handled by the organiser

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Key facts

Workshop on Open-World Robust Machine Learning at PRICAI 2026 (OWRML 2026) is a workshop held 17 November 2026 in South China Normal University, Guangzhou, China.

Dates:
17 November 2026
Format:
In person
Venue:
South China Normal University, Guangzhou, China
Subjects:
AI (Artificial Intelligence), Machine Learning & Deep Learning
Official website:
zwl00000.github.io
OWRML'26 is a workshop on open-world robust machine learning focusing on robust learning under imperfect supervision, distribution shift, openness, and lifelong adaptation. Collocated with PRICAI 2026, it aims to foster cross-disciplinary dialogue on building reliable models for dynamic real-world environments.

Conference theme

Open-World Robust Machine Learning

Objectives

Unify Research Streams, Showcase New Algorithms, and Bridge Theory and Practice.

Who should attend

Researchers in machine learning and deep learning, AI engineers deploying models in dynamic or noisy domains, and PhD students and postdoctoral scholars interested in robust and adaptive AI.

Organising Committee

Shao-Yuan Li - Associate Professor, Nanjing University of Aeronautics and Astronautics Chuanxing Geng - Associate Researcher, Nanjing University of Aeronautics and Astronautics Sheng-Jun Huang - Professor, Nanjing University of Aeronautics and Astronautics

Programme highlights

View full programme
Venue & travel South China Normal UniversityGuangzhou, ChinaVenue detailsOrganiser contact Shao-Yuan LiContact detailsWho is going? See who is planning to attend and say you are goingSee who is going

Organiser and contact

Contact

Event secretary:
Shao-Yuan Li

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