Revisiting Self-Training for Few-Shot Learning of Language Model，EMNLP2021 - 代码天地

Revisiting Self-Training for Few-Shot Learning of Language Model，EMNLP2021

企业开发 2023-04-10 05:15:33 阅读次数: 0

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转载自blog.csdn.net/qq_36618444/article/details/123205780

Revisiting Self-Training for Few-Shot Learning of Language Model，EMNLP2021

REVISITING FINE-TUNING FOR FEW-SHOT LEARNING

ACTIVELLM: LARGE LANGUAGE MODEL-BASED ACTIVE LEARNING FOR TEXTUAL FEW-SHOT SCENARIOS

Few-Shot Learning

（2017 ICLR）OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING笔记

【笔记】论文阅读 | Optimization as a Model for Few-Shot Learning

Optimization as a model for few-shot learning 论文笔记

Self-training Improves Pre-training for Natural Language Understanding，NAACL2021

few-shot learning Explanation

Few-Shot/One-Shot Learning

Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks（论文解读）

Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks（代码理解）

Boosting Few-Shot Visual Learning with Self-Supervision（代码理解）

【神经网络】2021-IJCAI-从概念中学习：迈向 Few-shot Learning 的纯净记忆

few-shot learning是什么

Prototypical Networks for Few-shot Learning

小样本学习 few-shot learning

《Few-Shot Learning with Global Class Representations》

小样本学习（Few-shot Learning）

＜Laplacian Regularized Few-Shot Learning＞笔记

《Few-Shot Learning with Graph Neural Networks》

Few-Shot Learning：基本概念

《Prototypical Networks for Few-shot Learning》

Zero-shot learning,Few-shot learning简单理解

论文笔记|AAAI2023：ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning

Self-training 与 Self supervised learning 简明对比

(few-shot)few-shot learning Classification overview 小样本综述

【NLP经典论文精读】Language Models are Few-Shot Learners

GPT-3(Language Models are Few-shot Learners)简介

《Learning to Compare: Relation Network for Few-Shot Learning》论文阅读

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