#Few-shot
Showing 10 of 10 repositories tagged #few-shot, ranked by stars
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
FSL-Mate: A collection of resources for few-shot learning (FSL).
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Learning low-shot object classification with explicit shape bias learned from point clouds
LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation
Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.