SetFit: Efficient Few-Shot Learning Without Prompts

Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API

Language models are few-shot learners

Re-Evaluating Continual Learning with Few-Shot Adaptation

arXiv:2606. 03843v1 Announce Type: cross Abstract: Continual learning methods aim to maximize the stability and plasticity of machine learning models that are trained on a sequence of tasks.

One-shot imitation learning

ARASH: Adaptive Retrieval And Shot Selection for Tabular Prediction

arXiv:2608. 17856v1 Announce Type: new Abstract: Tabular prediction is a critical task across numerous applications.

Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation

arXiv:2607. 05891v1 Announce Type: cross Abstract: Coreset selection aims to identify a small and highly representative subset of a massive dataset for efficient model training.