JaeJun Yoo
147
Seguidores
Personal Information
Organización/Lugar de trabajo
Daejeon, Korea
Ocupación
Reseaech Scientisit / Ph.D.
Sector
Technology / Software / Internet
Sitio web
jaejunyoo.blogspot.com
Etiquetas
pr12
super-resoluton
image enhancement
image restoration
gan
cvpr 2020
data augmentation
cvpr
wct2
style transfer
deep learning
generative model
superresolution
implicit neural representation
cutblur
unsupervised
simusr
augmentation
inverse problem
deep learnig
normalization
iclr2018
concrete distribution
reparameterization trick
gumbel softmax
generalization
iclr2017
hinton
capsule network
capsnet
neural network
xception
inception
googlenet
pixelrnn
pixelcnn
persistent homology
manifold simplification
residual learning
topological data analysis
algebraic topology
sisr
dann
transfer learning
domain adaptation
unrolled gan
eggan
infogan
f-gan
dcgan
wgan
introduction
generative adversarial network
Ver más
- Presentaciones
- Documentos
- Infografías
How Google Works / 구글은 어떻게 일하는가 (Korean / 한국어 버전)
Mika Eunjin Kang
•
Hace 9 años
머신러닝 해외 취업 준비: 닳고 닳은 이력서와 고통스러웠던 면접을 돌아보며 SNU 2018
Taehoon Kim
•
Hace 5 años
딥러닝을 이용한 자연어처리의 연구동향
홍배 김
•
Hace 7 años
Data Science. Intro
Seongyun Byeon
•
Hace 6 años
파이썬 확률과 통계 기초 이해하기
Yong Joon Moon
•
Hace 8 años
여러 컨볼루션 레이어 테크닉과 경량화 기법들
Dongyi Kim
•
Hace 5 años
Understanding deep learning requires rethinking generalization (2017) 2 2(2)
정훈 서
•
Hace 7 años
우아하게 준비하는 테스트와 리팩토링 - PyCon Korea 2018
Kenneth Ceyer
•
Hace 5 años
Modeling uncertainty in deep learning
Sungjoon Choi
•
Hace 6 años
Harmonic Analysis and Deep Learning
Sungbin Lim
•
Hace 6 años
Generative adversarial network
강민국 강민국
•
Hace 6 años
GCP CloudML Intro
CHUN HO LEE
•
Hace 6 años