====== Few-Shot Learning ======

===== Papers =====
  * [[https://people.cs.umass.edu/~elm/papers/Miller_congealing.pdf|Miller et al 2000 - Learning from One Example Through Shared Densities on Transforms]]
  * [[https://cims.nyu.edu/~brenden/papers/LakeEtAl2011CogSci.pdf|Lake et al 2011 - One Shot Learning of Simple Visual Concepts]]
  * [[https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf|Koch et al 2015 - Siamese Neural Networks for One-shot Image Recognition]]
  * [[https://openreview.net/pdf?id=rJY0-Kcll|Ravi & Larochelle 2016 - Optimization as a Model for Few-Shot Learning]]
  * [[https://arxiv.org/pdf/1606.04080.pdf|Vinyals et al 2016 - Matching Networks for One Shot Learning]]
  * [[https://arxiv.org/pdf/1703.05175.pdf|Snell et al 2017 - Prototypical Networks for Few-shot Learning]]
  * [[https://openaccess.thecvf.com/content_cvpr_2018/papers/Sung_Learning_to_Compare_CVPR_2018_paper.pdf|Sung et al 2018 - Learning to Compare: Relation Network for Few-Shot Learning]]
  * [[https://arxiv.org/abs/2102.01335|Lee et al 2021 - Neural Data Augmentation via Example Extrapolation]]

===== Few-Shot Learning with Language Models =====
See [[nlp:Prompting#Prompting Language Models]].

===== Related Pages =====
  * [[Meta-Learning]]
  * [[nlp:Prompting]]
  * [[nlp:Task Descriptions]]
  * [[Zero-Shot Learning]]