Conferences
Find the venues for your field and use their official sites to follow papers and proceedings.
Find a venue by research area, then follow its official site for the current call for papers and proceedings. Timing below describes the usual cycle, not a verified submission deadline. Directory sources were reviewed July 29, 2026.
NeurIPS
Machine Learning
Neural Information Processing Systems
The field's flagship venue. TEAM NAVER had 10 papers accepted in 2025 — the strongest disclosed showing by a Korean corporate lab.
ICML
Machine Learning
International Conference on Machine Learning
One of ML's big three. The Korean NAIRL network announced 31 accepted papers in 2026, KAIST the largest single institution at 13.
ICLR
Machine Learning
International Conference on Learning Representations
Deep learning's open-review venue — reviews and rebuttals are public on OpenReview.
CVPR
Computer Vision
Computer Vision and Pattern Recognition
The largest computer-vision venue; a regular target for SNU, KAIST, and NAVER vision labs.
ICCV
Computer Vision
International Conference on Computer Vision
CVPR's odd-year sibling, alternating with ECCV.
ECCV
Computer Vision
European Conference on Computer Vision
Europe's top vision venue, alternating years with ICCV.
ACL
NLP
Association for Computational Linguistics
NLP's flagship — where Korean-language benchmark and LLM-evaluation work lands.
EMNLP
NLP
Empirical Methods in Natural Language Processing
ACL's empirical sibling; strong Korean lab presence in retrieval and evaluation tracks.
AAAI
Broad AI
AAAI Conference on Artificial Intelligence
The broadest general-AI venue, spanning ML, reasoning, and applications.
KDD
Data Mining
Knowledge Discovery and Data Mining
The top venue for data mining and applied ML systems.
CoRL
Robotics
Conference on Robot Learning
Where learning meets robotics — the venue to watch as Korea pushes embodied AI.
ICRA
Robotics
IEEE International Conference on Robotics and Automation
Robotics' largest venue; relevant to Korea's robot-density and embodiment story.