12 citations · 22 across the 5 of their papers we have counts for
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cs.LG2022
Few-Example Clustering via Contrastive Learning
Minguk Jang, Sae-Young Chung
We propose Few-Example Clustering (FEC), a novel algorithm that performs contrastive learning to cluster few examples. Our method is composed of the following three steps: (1) gene…
cs.LG2021★ 3 cited
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
Suyoung Lee, Sae-Young Chung
The generalization ability of most meta-reinforcement learning (meta-RL) methods is largely limited to test tasks that are sampled from the same distribution used to sample trainin…