Few-Shot Learning：Pretraining（预训练） + Fine Tuning - 代码天地

Few-Shot Learning：Pretraining（预训练） + Fine Tuning

编程语言 2023-04-10 06:32:41 阅读次数: 0

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转载自blog.csdn.net/Bluebro/article/details/127834822

Few-Shot Learning：Pretraining（预训练） + Fine Tuning

REVISITING FINE-TUNING FOR FEW-SHOT LEARNING

元学习 & Meta Learning & Few-Shot Learning 三 || Pretraining and Fine Tuning

【论文翻译】Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Ma

Few-Shot Learning

few-shot learning Explanation

fine-tuning:预训练中的迁移

Few-Shot/One-Shot Learning

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》

caffe 预训练或者Fine-Tuning 操作

预训练网络实战之fine-tuning

预训练(pre-training/trained)与微调(fine-tuning)

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

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

小样本学习(Few-Shot Learning)训练参数意义

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

Learning to Compare: Relation Network for Few-Shot Learning

读论文：Learning to Compare: Relation Network for Few-Shot Learning

【论文&模型讲解】文本分类 Towards Unified Prompt Tuning for Few-shot Text Classification

预训练大语言模型的三种微调技术总结：fine-tuning、parameter-efficient fine-tuning和prompt-tuning

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

FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 论文笔记

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