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【Institute for Applied Mathematics and Sciences】Research Seminar “An overview of self-supervised learning”(8/23)

Date:Aug 23rd, 2023
Time: 11:00–11:50
Place: 55N-1F-Conference Room 1
 
Speaker: Utku Ozbulak (Ghent University Global Campus, South Korea)
Title: An overview of self-supervised learning
Abstract: Self-supervised learning has recently emerged as a powerful paradigm for neural networks. This approach leverages unlabeled data to 
pretrain neural networks, enabling them to learn meaningful representations without requiring extensive manual annotation. By capitalizing on the 
inherent structure and information present in the data itself, self-supervised learning has demonstrated remarkable success in a diverse range of 
problems across computer vision, natural language processing, and other domains. In this talk, I will briefly go over the recent advances in the 
field and discuss how self-supervised learning enabled now-famous models like Chat-GPT and the Segment All Model (SAM).
 
contact:Prof.yoshimura([email protected]
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