将迁移学习用于文本分类《 Universal Language Model Fine-tuning for Text Classification》 - 代码天地

将迁移学习用于文本分类《 Universal Language Model Fine-tuning for Text Classification》

其他 2018-09-13 10:35:47 阅读次数: 0

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转载自blog.csdn.net/u014475479/article/details/81253506

将迁移学习用于文本分类《 Universal Language Model Fine-tuning for Text Classification》

《Universal Language Model Fine-tuning for Text Classification》翻译

【论文笔记】ULMFiT——Universal Language Model Fine-tuning for Text Classification

Re73 读论文：ULMFiT Universal Language Model Fine-tuning for Text Classification

论文分享|《Universal Language Model Fine-tuning for Text Classificatio》

#论文阅读# Universial language model fine-tuing for text classification

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

面向文本分类任务的预训练模型 Fine-tuning 研究与应用【t5 & prefix-finetune & text-classification】代码在文末。

迁移学习/fine-tuning

文本分类 Text Classification

keras-迁移学习(fine-tuning)

Fine-Tuning Language Models from Human Preferences

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

fine-tuning:预训练中的迁移

深度学习之（十）：fine-tuning

caffe image recognization model and prototxt for transfer learning (fine-tuning)

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

【转载】迁移学习与fine-tuning有什么区别

【20】迁移学习与微调（fine-tuning）方法

翻译: 迁移学习和微调 Transfer learning & fine-tuning

【深度学习前沿应用】图像分类Fine-Tuning

【Kaggle微课程】Natural Language Processing - 2.Text Classification

pytorch学习笔记（三十九）：Fine-Tuning

深度学习概念（术语）：Fine-tuning、Knowledge Distillation, etc

【深度学习】：Language Model

Neural Network Dynamics for Model-Based Deep Reinforcement Learniing with Model-Free Fine-Tuning

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-into Attention论文解读

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

【论文笔记】文本分类(text classification)论文整理

【文本分类】ACT: an Attentive Convolutional Transformer for Efficient Text Classification

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