wutong8023/Awesome_Few_Shot_Learning
Advances of few-shot learning, especially for NLP applications.
This resource provides a curated collection of academic papers and literature focused on few-shot learning, particularly within Natural Language Processing (NLP). It organizes research by publication venue, allowing researchers to quickly find relevant studies on training AI models with very limited data. This is useful for AI/ML researchers and PhD students specializing in NLP or computer vision who need to stay updated on the latest advancements.
No commits in the last 6 months.
Use this if you are a researcher or student looking for a structured bibliography of few-shot learning papers, especially those published in top-tier NLP and AI conferences.
Not ideal if you are looking for an implementation, code, or a tutorial to apply few-shot learning models to a specific business problem.
Stars
32
Forks
6
Language
TeX
License
—
Category
Last pushed
Jan 08, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wutong8023/Awesome_Few_Shot_Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
oscarknagg/few-shot
Repository for few-shot learning machine learning projects
jakesnell/prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
akshaysharma096/Siamese-Networks
Few Shot Learning by Siamese Networks, using Keras.