Introduction to and Advances in Self-Supervised Learning

Introduction to and Advances in Self-Supervised Learning #

The seminar has now ended, click to acknowledgement page.

Personnel #

Organizers: Prof. Chao Wang, Shengjie Niu

Supervisor: Prof. Chao Wang

Keynote Speakers: Wang Ma, Zebin Yun, Shengjie Niu, Lifan Lin, Yue Wu, Xinyao Li, Yiming Zhang, Shengqi Fang, Xunyi Jiang, Langtian Ma.

Introduction #

This seminar focuses primarily on important topics in deep learning, specifically self-supervised learning. The topics will range from an introduction to self-supervised learning to the latest advancements. We also welcome individuals from related fields to share their insights, such as transfer learning, meta-learning, and so on. Depending on our progress, some signigicant and parctical topics like optimizers and backbones may also incorporated as additional sessions.

We will be hosting a group study on deep learning at each Thursday 19:30 - 21:00 pm in Lecture Hall 3, 302 (The first week will be at Wednesday 11:00 - 12:30 am in Business Hall 314). The online link for first seminar is TencentMeeting. The following online links are TencentMeeting.

Notification: The venue for following seminars has been changed to Lecture Hall 3, 302 owing to scheduling conflicts.

Remarks #

  • The main personnel for this seminar are undergraduate students, and we welcome anyone interested in SSL (Self-Supervised Learning) or Deep Learning to attend.

  • This is a fast-paced and demanding study group which covers both fundementals of deep learning and recent advances. We highly encourage everyone to read the related materials before the group study.

  • Everyone is welcome to share their own research findings or reflections on paper readings. Any member who has done a presentation will be considered a keynote speaker.

More #

Click Get Schedule to view our detailed timetable. Please click Mail directly if you have any questions.