Sanghyuk Chun

NAVER AI Lab

Names

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Sanghyuk Chun

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@navercorp.com
,
****@gmail.com

Education & Career History

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Lead research scientist
NAVER AI Lab (navercorp.com)
2020Present
 
Research scientist
NAVER AI Lab (navercorp.com)
20182020
 
Research engineer
Kakao (kakaocorp.com)
20162018
 
MS student
Korea Advanced Institute of Science and Technology (kaist.ac.kr)
20142016
 
Research internship
Naver Labs Korea (naverlabs.com)
20152015
 

Advisors, Relations & Conflicts

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Coauthor
Hyunjung Shim
****@yonsei.ac.kr
20192021
 
Coauthor
Zeynep Akata
****@uni-tuebingen.de
20192020
 
Coauthor
Oriol Nieto
****@pandora.com
20192020
 
Coauthor
Minz Won
****@upf.edu
20162020
 
Coauthor
Jinwoo Shin
****@kaist.ac.kr
20132016
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Multi-modal learning, vision and language
2019Present
 
Machine learning reliability, robustness, de-biasing, domain generalization, uncertainty estimation, explainability
2018Present
 
Generative models
20182019
 
Audio modelling, music modelling
20152019
 
Recommender systems, matrix factorization, collaborative filtering, content-based recommender systems
20152017
 
Multi-armed bandit, online ranking algorithm
20152017
 
Dimensionality reduction, robust PCA, clustering
20132015