Machine Learning Student Seminars
Do you find yourself wondering what great research is being done in our group? Our ML Student Seminar series is intended to give us all a chance to see and hear about what others work on and thereby gives the chance to identify where collaboration is possible. For the students, this is a great chance to present their work and get some feedback and ideas.
In every session, a PhD (or postgrad) student will give a talk on her current work. We will then give feedback, discuss potential problems the student is facing, provide ideas on how to solve challenges and let our creativity flow. The talks are not intended to be perfect and could be quite short. However, the student needs to provide us all with enough information to understand the research and the particular problem she is aiming to solve.
Where and when?
The ML Student Seminars will be held bi-weekly (alternating with the AI Reading Group!) on Thursdays 2pm-3pm in 303S-561. We strongly encourage all members of our group to participate – students and lecturers.
In order to have an interesting seminar series, we aim for diverse talks and therefore iterate through supervisors. The supervisors will be asked to nominate students that should give a talk soon — preferably new students that still search for their path, students struggling with a specific problem, but also students that already have a lot of interesting research to report. Please avoid nominating students that just had their Provisional Year Reviews as many of us will already have seen their current work. Since we meet bi-weekly, every student will be presenting about once a year.
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