Extra Form
Lecturer 현윤석
Dept. 인하대학교
date Nov 17, 2022


In recent years, artificial intelligence has made remarkable progress in developing algorithms that can learn from vast amounts of carefully labeled data. This paradigm of supervised learning has made great success in training specialist models that perform extremely well on the task they were trained to do, but there’s a limit to building more intelligent, generalized models without a massive amount of labeled data.
Self-supervised learning is an unsupervised learning method where the supervised learning task is created out of the unlabeled input data. It enables machines to understand new concepts quickly after seeing only a few examples that are labeled.
In this seminar, we will briefly review the basic concepts of deep learning and computer vision, and explain the recent development of self-supervised learning methods, focusing on representation learning in the field of computer vision.


Attachment '1'
List of Articles
Category Subject Dept. Lecturer
Math Colloquia Partial differential equations with applications to biology file POSTECH 황형주
Math Colloquia Diophantine equations and moduli spaces with nonlinear symmetry file 서울대학교 황준호
Math Colloquia Symplectic Geometry, Mirror symmetry and Holomorphic Curves file 연세대 수학과 홍한솔
Math Colloquia Toward bridging a connection between machine learning and applied mathematics file 성균관대학교 홍영준
Math Colloquia 돈은 어떻게 우리 삶에 돈며들었는가? (불확실성 시대에 부는 선형적으로 증가하는가?) file 농협은행 홍순옥
Math Colloquia <학부생을 위한 ɛ 강연> Self-Supervised Learning in Computer Vision file 인하대학교 현윤석
Math Colloquia Limit computations in algebraic geometry and their complexity file POSTECH 현동훈
Math Colloquia Geometry, algebra and computation in moduli theory file 서울대 현동훈
Math Colloquia <학부생을 위한 ɛ 강연> Geometry and algebra of computational complexity file 서울대학교 현동훈
BK21 FOUR Rookies Pitch 2022-2 Rookies Pitch: Representation Theory(허태혁) file QSMS 허태혁
Math Colloquia Mechanization of proof: from 4-Color theorem to compiler verification file 서울대 컴퓨터공학부 허충길
Special Colloquia 허준이 교수 호암상 수상 기념 강연 (Lorentzian Polynomials) file Professor, Stanford University 허준이 교수
Special Colloquia Combinatorics and Hodge theory file 미국 프린스턴대 교수, 한국 고등과학원 석학교수 허준이
BK21 FOUR Rookies Pitch 2022-2 Rookies Pitch: Harmonic Analysis (함세헌) file 수학연구소 함세헌
Math Colloquia 젊은과학자상 수상기념강연: From particle to kinetic and hydrodynamic descriptions to flocking and synchronization file 서울대학교 하승열
Math Colloquia One and Two dimensional Coulomb Systems file 카이스트 폴정
Math Colloquia Seeded Ising Model for Human Iris Templates and Secure Distributed Iris Recognition file 서울대학교 최형인
BK21 FOUR Rookies Pitch 2023-2 Generative Model(최재웅) file KIAS AI 기초과학센터 최재웅
Math Colloquia 극소곡면의 등주부등식 file KIAS 최재경
Math Colloquia 원의 유리매개화에 관련된 수학 file 건국대학교 최인송
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