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Important Dates

Target Audience

Selection Process

All applicants will be subject to a selection process by the committee based on their scientific expertise and background knowledge. Approximately 80 participants will be selected to participate in the MLRS 2023. While no prior machine learning knowledge is required, selected participants are expected to be comfortable with undergraduate mathematics (e.g., linear algebra, basic multivariate calculus, basic probability theory).

The MLRS requires that all participants present a poster. The poster session serves as a platform for presenting and discussing ongoing, past, or future projects that involve a machine learning component or could benefit from incorporating one. A poster may contain any discussions on machine learning-related topics, without being restricted to rigorous content. Participants could also present ideas or topics for discussion, even if they do not have a specific content or research findings to present.

The MLRS does not and shall not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations.

Registration Fees

Students are eligible to apply for a scholarship. We plan to provide as many scholarships as possible depending on the total funding secured.
*Those who obtained their degrees in the year 2023.

We encourage all applicants to apply as soon as possible.

The registration fee covers