paper, we propose a Text Augmentation Contrastive Learning Representation model, TACLR, that combines the easy text augmentation techniques (i.e., synonym replacement, random insertion, random swap and random deletion) and textMixup augmentation method with contrastive learning for text classification ...
Improved graph contrastive learning for short text classification[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(17): 18716-18724. GIFT模型的github网址 整体框架图 首先,构建一个由Gw、Ge和Gp三个分量图组成的异构图。 然后对每个分量图进行GCNs,分别得到更新后的节点嵌入Hw、...
文章名称:PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification 来源链接:PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification - ACL Anthology 源代码:PESCO-Sharetribe 2.问题 Despite the remarkable progress, training wellperformingneuralclassifiers still...
Wang R, Dai X. Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification[C]//Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2022: 672-679. 摘要导读 多标签文本分类(MLTC,Multi-Label Text Classificati...
Keywords: Contrastive Learning, Selective Classification Abstract 选择性分类使模型只有在他们有足够的信心的情况下才能做出预测,旨在提高安全性和可靠性,这在高风险的场景中是很重要的。以往的方法主要使用深度神经网络,重点是修改分类层的体系结构,使模型能够估计其预测的置信度。本工作为选择性分类提供了一个泛化的边...
Pre-trained language models based on contrastive learning have shown to be effective in text classification. Although its great success, contrastive learning still has shortcomings. First, most of the existing contrastive learning methods neglect to consider linguistic knowledge, which can improve the per...
Wei, Jason, and Kai Zou. "EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks." EMNLP-IJCNLP. 2019. 这篇文章也介绍类似的数据增广的方式,虽然不是在对比学习中使用的,但是其中的设计也是借鉴的。文中提到了以下的数据增广的方式 ...
deep-learningtransformersartificial-intelligenceimage-to-textattention-mechanismmultimodalcontrastive-learning UpdatedDec 12, 2023 Python Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️...
论文标题:Contrastive Self-supervised Learning for Graph Classification 论文作者:Jiaqi Zeng, Pengtao Xie 论文来源:2020, AAAI 论文地址:download 论文代码:download 1 Introduction 任务:图分类。 贡献: global-global 对比 提出CSSL-Reg 提出CSSL-Pretrain ...
论文题目:Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking(基于多标签排序的DeepFake分类与定位对比学习) 作者&团队:Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu a 中央研究院资讯科学研究所,台湾 论文网址: https://openaccess.thecvf.com/content/CVPR2024/papers/Hong_...