4/14 Deep Learning for Understanding the World like Humans (안성진 교수/KAIST 전산학부)

작성자
kaistsoftware
작성일
2022-04-11 15:11
조회
5488
  • 강사 : 안성진 교수 (KAIST 전산학부)
  • 일시 : 2022. 4. 14 (목) 17:00~18:30
The world embraces various forms of structure in it. It is governed by time and space (3D), partial-observability, uncertainty, causality, and also is composed of modular entities like objects. The power of human intelligence seems to come from the ability to discover these structures and utilize those in such a way to support systematic generalization. Furthermore, a human-level AI would need to achieve this ability in an unsupervised fashion like humans. In this talk, I introduce recent research efforts of my research group toward this direction, specifically via unsupervised object-centric representation learning.
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