代码链接:https://github.com/psunlpgroup/CONTaiNER. Abstract & Intro FewShot设置下的命名实体识别(NER)任务中,低资源域实体打标签任务很困难。现有的方法只从源域学习特定于某类的语义特征和中间表示。这影响了对于unseen目标域的通用性,导致性能不佳。为此,作者提出了container,一种新的对比学习技术,它优化了f...
corwinliu9669/Learning-a-Few-shot-Embedding-Model-with-Contrastive-Learning: This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021) (github.com)github.com/corwinliu9669/Learning-a-Few-shot-Embedding-Model-with-Contrastive-Learning 论文: https://www....
Final Project for AI (COMP130031.02) on few-shot learning/contrastive learning taken at Fudan University during 2023 spring. - qrdai/23sp-AI-few-shot-learning-project
python tools/generate_k_shot_data.py for seed in 13 21 42 87 100 ### random seeds for different train-test splits do for bs in 40 ### batch size do for lr in 1e-5 ### learning rate for MLM loss do for supcon_lr in 1e-5 ### learning rate for SupCon loss do TAG=exp TY...
Offical repository forSelf-Attention Message Passing for Contrastive Few-Shot Learning(Ojas Kishore Shirekar, Anuj Singh, Hadi Jamali-Rad) This paper is accepted to appear in the proceedings ofWACV 2023 Introduction Humans have a unique ability to learn new representations from just a handful of ex...
Field: Contrastive Learning, Few Shot, NER Level: CCF-A Paper Link:https://arxiv.org/pdf/2109.07589v2.pdf Code Link:https://github.com/psunlpgroup/CONTaiNER Release Date: March 28, 2022 1 简介 现有解决小样本NER的方法的问题:只是从源域学习特定类的语义特征和中间表示,影响了在未见过的目标域...
these datasets. Based on over 200 papers in this survey, we conclude with the major challenges and future directions of few-shot learning and meta-learning. Similar content being viewed by others MetaCL: a semi-supervised meta learning architecture via contrastive learning...
Few-shot Learning Techiniques on Graphs Meta-Learning Approaches Structure-Based Enhancement Adaptation-Based Enhancement Pre-Training Approaches Pre-Training Strategies Contrastive Strategies Generative Strategies Parameter-efficient Adaptation Prompting on Text-free Graphs Prompting on Text-attributed Graphs...
The combination of prompt learning and contrastive learning has recently been a promising approach to few-shot learning in NLP field. However, most of these studies only focus on the semantic-level relevance and intra-class information of data in the class level while i...
Boosting Few-Shot Classification with View-Learnable Contrastive Learning(ICME 2021) Rectifying the Shortcut Learning of Background for Few-Shot Learning(NeurIPS 2021) Contents Advantages: This repository is built on top ofLightningCLI, which is very convenient to use after being familiar with this ...