1 code implementation • 7 Dec 2023 • Kyeongryeol Go, Kye-Hyeon Kim
To tackle this issue, we introduce a new experimental design, coined as Candidate Proposal, to find transferable data candidates from which active learning algorithms choose the informative subset.
1 code implementation • ICLR 2022 • Mingyu Kim, Kyeongryeol Go, Se-Young Yun
Neural processes (NPs) aim to stochastically complete unseen data points based on a given context dataset.
Ranked #1 on
Multi-agent Reinforcement Learning
on SMAC-Exp
1 code implementation • 5 Jul 2021 • Kyeongryeol Go, Seyoung Yun
Meta-learning aims to learn a model that can handle multiple tasks generated from an unknown but shared distribution.