Important dates

  • 7-31 May 2023: Early application period

  • 1-7 June 2023: Late application period

  • 7 June 2023: Application deadline

  • Mid-June 2023: Notification of acceptance

  • Late-June 2023: Registration

  • 2-9 August 2023: MLRS 2023

Target Audience

  • Students (bachelor, master, doctoral) with interest in machine learning. In particular, we encourage graduate students (master, doctoral) whose research topic is related to machine learning, or can benefit from machine learning.

  • Industry practitioners in any role with connection to software engineering, data science, machine learning or related areas.

  • Academics (researchers, professors) who wish to understand machine learning from a technical perspective.

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), and programming in Python.

Although optional, we strongly encourage all participants to present a poster on an on-going, past, or future project that has a machine learning component, or that will benefit from adding one. The poster can be on any research topic (not necessarily directly related to machine learning). In the selection process, priority will be given to applicants who choose to present a poster.

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