Online Asian Machine Learning School (OAMLS)
Calls for applications
By participating in OAMLS, you will have the opportunity to:
Learn from and engage with top experts in the field. OAMLS offers an invaluable chance to study fundamentals of machine learning as well as state-of-the-art advances from our invited speakers.
OAMLS provides a great networking opportunity to meet like-minded individuals who share your passion for machine learning, data science, and artificial intelligence.
Attend ACML 2021, which is held immediately after the summer school.
We aim to have 200 strongly motivated and engaged participants in this event. We encourage applications from the Asia-Pacific region, although we open applications to anyone in the world provided that they will be able to attend the event which will be held in Asian time zones. No deep experience of machine learning is needed to apply, but participants are assumed to have some basic knowledge of programming, statistics, and machine learning. We will provide recommended background materials for those who are selected to ensure that everyone has the required knowledge to benefit from the event.
Please apply here. Submitting an application is free of charge. We ask for a small registration fee for accepted participants (see details below). The application deadline is on September 15, 2021 and the acceptance notification is on October 8, 2021.
Applying to OAMLS is free, but there is a small registration fee if you are selected to participate. This fee will be used to cover subscriptions to online platforms for hosting the event.
Registration fee for selected participants:
Students (e.g., undergraduate, masters, and PhD students): US$20
Industry representatives (e.g: software engineer, data scientist): US$50
Academics (e.g: professor, postdoctoral fellow): US$50
The registration fee covers access to all lectures, panels, and practical sessions, along with virtual social events of OAMLS. It also includes registration to the Asian Conference on Machine Learning 2021.
We have a small number of scholarships available, which will cover the full registration fee, for accepted participants who need financial assistance. Please indicate in the application form if you would like to be considered for the scholarships.
Please contact us at oaml...@googlegroups.com if you have any questions.
Vivian Chen, National Taiwan University
Wittawat Jitkrittum, Google Research
Wee Sun Lee, National University of Singapore
Nan Lu, University of Tokyo
Ngan Vu, DeepMind
Dani Yogatama, DeepMind
Hung Bui, VinAI Research
Wray Buntine, Monash University
Hsuan-Tien Lin, National Taiwan University
Masashi Sugiyama, RIKEN Center for Advanced Intelligence Project/The University of Tokyo