1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen, Chi-Guhn Lee
Learning a new task from a handful of examples remains an open challenge in machine learning. Despite the recent progress in few-shot learning, most methods rely on supervised pret…
cs.LG2022
Meta-free few-shot learning via representation learning with weight averaging
Kuilin Chen, Chi-Guhn Lee
Recent studies on few-shot classification using transfer learning pose challenges to the effectiveness and efficiency of episodic meta-learning algorithms. Transfer learning approa…
cs.LG2021★ 1 cited
Attentive Gaussian processes for probabilistic time-series generation
Kuilin Chen, Chi-Guhn Lee
The transduction of sequence has been mostly done by recurrent networks, which are computationally demanding and often underestimate uncertainty severely. We propose a computationa…