The positive samples used in contrastive learning are often derived from augmented data, which improve the performance of many computer vision tasks while still not being fully utilized for natural language processing tasks, such as text classification. The existing data augmentation methods have been ...
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...
对比学习(Contrastive learning)的主要是与自学习(self-supervised learning)结合起来,从而挖掘数据集本身的一些特性,来帮助模型进行无标签的学习。计算机视觉 SimCLR 对比学习在计算机视觉中的一篇代表作就是Hinton的SimCLR的模型 A Simple Framework for Contrastive Learning of Visual Representations, ICML 2020 这篇文章...
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...
Existed pre-trained models have achieved state-of-the-art performance on various text classification tasks. These models have proven to be useful in learning universal language representations. However, the semantic discrepancy between similar texts cannot be effectively distinguished by advanced pre-traine...
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...
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020] clusteringimage-classificationrepresentation-learningunsupervised-learningmocoself-supervised-learningsimclreccv2020eccv-2020contrastive-learning UpdatedJul 27, 2023 Python 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of...
Foundation of Contrastive Learning Contrastive Learning Objective Sampling Strategy for Contrastive Learning Most Notable Applications of Contrastive Learning Analysis of Contrastive Learning Graph Contrastive Learning Contrastive Learning for NLP Contrastive Data Augmentation for NLP Text Classification Sentence Em...
Improved Text Classification via Contrastive Adversarial Training 摘要 在文本分类任务中,我们提出了一个方案来正则化transformer编码器的精调。 在精调时,我们对word embedding进行干扰以生成对抗数据,并…