深度学习论文: Learning Transferable Visual Models From Natural Language Supervision - 代码天地

深度学习论文: Learning Transferable Visual Models From Natural Language Supervision

企业开发 2023-10-01 09:38:12 阅读次数: 0

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转载自blog.csdn.net/shanglianlm/article/details/132403101

深度学习论文: Learning Transferable Visual Models From Natural Language Supervision

clip:learning transferable visual models from natural language supervision

CLIP : Learning Transferable Visual Models From Natural Language Supervision

【论文&模型讲解】CLIP（Learning Transferable Visual Models From Natural Language Supervision）

CLIP论文翻译、Learning Transferable Visual Models From Natural Language Supervision翻译

多模态与对比学习入门CLIP（一）——Learning Transferable Visual Models From Natural Language Supervision

【论文视频】Clip：Learning Transferable Visual Models From Natural Language Supervision【多模态，对比学习，迁移学习】

论文解读：从自然语言监督学习可转移视觉模型Learning Transferable Visual Models From Natural Language Supervision

【论文&模型学习】从自然语言监督中学习可迁移视觉 CLIP（Learning Transferable Visual Models From Natural Language Supervision）

【论文简介】CLIP：图像与自然语言配对预训练可迁移模型：Learning Transferable Visual Models From Natural Language Supervision

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey，2020

【论文阅读笔记】Supervised Learning of Universal Sentence Representations from Natural Language Inference Da

【论文阅读】SQLNet: GENERATING STRUCTURED QUERIES FROM NATURAL LANGUAGE WITHOUT REINFORCEMENT LEARNING

论文阅读 | Pre-trained Models for Natural Language Processing: A Survey

ELMo（Embeddings from Language Models） --学习笔记

Coursera, Deep Learning 5, Sequence Models, week2, Natural Language Processing & Word Embeddings

论文阅读：Natural Language Processing Advancements By Deep Learning: A Survey 深度学习在自然语言处理中的进展

论文翻译：Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision

【论文笔记】MacBert：Revisiting Pre-trained Models for Chinese Natural Language Processing

基于深度学习的自然语言处理（Deep Learning-based Natural Language Processing）

Stanford:Natural Language Processing with Deep Learning

Deep Learning for Natural Language Processing in Python

【提示学习论文五】Conditional Prompt Learning for Vision-Language Models论文原理及复现工作

Learning Deep Models for Face Anti-Spoofing_ Binary or Auxiliary Supervision

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Pre-trained Models for Natural Language Processing: A Survey

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CS224n: Natural Language Processing with Deep Learning 学习笔记

论文阅读：Pre-trained Models for Natural Language Processing: A Survey 综述：自然语言处理的预训练模型

Learning to Prompt for Vision-Language Models

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