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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★ 4 cited
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations
Raj Patel, Chia-Wei Hsing, Serkan Sahin +11
Partial Differential Equations (PDEs) are used to model a variety of dynamical systems in science and engineering. Recent advances in deep learning have enabled us to solve them in…
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…