딥러닝 공부방

Matching Networks for One Shot Learning https://arxiv.org/abs/1606.04080 Matching Networks for One Shot Learning Learning from a few examples remains a key challenge in machine learning. Despite recent advances in important domains such as vision and language, the standard supervised deep learning paradigm does not offer a satisfactory solution for learning new conce arxiv.org episodic training을..

Learning to Compare: Relation Network for Few-Shot Learning https://arxiv.org/abs/1711.06025 Learning to Compare: Relation Network for Few-Shot Learning We present a conceptually simple, flexible, and general framework for few-shot learning, where a classifier must learn to recognise new classes given only few examples from each. Our method, called the Relation Network (RN), is trained end-to-en..