Personal Information
Organization / Workplace
Daejeon, Chungchungnam-do Korea, South
Occupation
Ph.D. student
Industry
Technology / Software / Internet
Website
sites.google.com/view/sangwoomo
About
Ph.D. student at ALIN-LAB @ KAIST (http://alinlab.kaist.ac.kr/)
Tags
machine learning
deep learning
generative model
computer vision
reinforcement learning
meta learning
natural language processing
gan
bayesian
generative adversarial network
disentangled representation
neural network
artificial inteligence
video representation
transformer
self-attention
domain adaptation
domain transfer
gaussian process
rnn
recursive neural network
nlp
topological data analysis
applied mathematics
statistics
vae
uncertainty
dropout
approximation
optimization
complexity
algorithm
model
nonparametric
topic
lda
language
processing
natural
multi armed bandit
online advertising
See more
Presentations
(37)Likes
(5)알아두면 쓸데있는 신기한 강화학습 NAVER 2017
Taehoon Kim
•
6 years ago
Harmonic Analysis and Deep Learning
Sungbin Lim
•
6 years ago
Matrix calculus
Sungbin Lim
•
7 years ago
Linear algebra
Sungbin Lim
•
7 years ago
내가 대학원에 들어왔을 때 알았더라면 좋았을 연구 노하우 (개정증보판) (UST 대학원 신입생 OT 강연)
Yoon Sup Choi
•
11 years ago
Personal Information
Organization / Workplace
Daejeon, Chungchungnam-do Korea, South
Occupation
Ph.D. student
Industry
Technology / Software / Internet
Website
sites.google.com/view/sangwoomo
About
Ph.D. student at ALIN-LAB @ KAIST (http://alinlab.kaist.ac.kr/)
Tags
machine learning
deep learning
generative model
computer vision
reinforcement learning
meta learning
natural language processing
gan
bayesian
generative adversarial network
disentangled representation
neural network
artificial inteligence
video representation
transformer
self-attention
domain adaptation
domain transfer
gaussian process
rnn
recursive neural network
nlp
topological data analysis
applied mathematics
statistics
vae
uncertainty
dropout
approximation
optimization
complexity
algorithm
model
nonparametric
topic
lda
language
processing
natural
multi armed bandit
online advertising
See more