Papers Unsupervised Few-Shot Learning

“Unsupervised Few-Shot Learning” 태그가 달린 논문 22편 · 필터 해제

Unsupervised Meta-Learning For Few-Shot Image Classification

2018-11-28 · NeurIPS 2019 12 · Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah

Few-shot or one-shot learning of classifiers requires a significant inductive bias towards the type of task to be learned. One way to acquire this is by meta-learning on tasks similar to the target task. In this paper, w…

Classification Few-Shot Image Classification Few-Shot Learning General Classification+8

Unsupervised Learning via Meta-Learning

2018-10-04 · ICLR 2019 5 · Kyle Hsu, Sergey Levine, Chelsea Finn

A central goal of unsupervised learning is to acquire representations from unlabeled data or experience that can be used for more effective learning of downstream tasks from modest amounts of labeled data. Many prior uns…

Clustering Disentanglement Meta-Learning Unsupervised Few-Shot Image Classification+1