Prototypical contrastive learning of unsupervised representations abstract 这篇论文介绍了原型对比学习(PCL),一种将对比学习与聚类相结合的无监督表示学习方法。PCL不仅为实例区分任务学习低层特征,更重要的是将聚类发现的语义结构编码到所学嵌入空间中。具体而言,我们引入原型作为潜在变量,以帮助在EM(Expectation-...
Prototypical Contrastive Learning of Unsupervised Representationsexport.arxiv.org/pdf/2005.04966 Abstract 本文提出了一个无监督表示学习:Prototypical Contrastive Learning (PCL)模型,该模型解决了逐实例(instance wise)对比学习的基本缺陷。PCL不仅可以为实力判别任务学习低层(low level)特征,更重要的是它可以encode...
本文提出了一个将对比学习与聚类联系起来的无监督表示学习方法:Prototypical Contrastive Learning (PCL) 。该方法解决了逐实例(instance wise)对比学习的基本缺陷。PCL不仅可以为实例判别任务学习底层(low level)特征,更重要的是它将通过聚类发现的语义结构编码到学习的嵌入空间中。
Prototypical Graph Contrastive Learning 核心创新 将语义相似的图聚类到同一组,同时鼓励同一图的不同增强之间的聚类一致性 重加权对比目标,基于负样本的原型距离进行重加权,以减轻抽样偏差问题。 研究背景 现有的方法主要集中于实例级结构相似性的建模,没有探索整个数据分布上的底层全局结构。 从整个数据分布中均匀地采...
首先,我们需要明确contrastive learning的基本概念。对比学习是一种通过将相似的样本聚集在一起,进而形成可区分的类别,从而实现无监督学习的方法。对于这一方法,我们将重点讨论prototypical contrastive learning。这一方法的核心思想是通过学习样本的原型表示,在高维特征空间中对问题进行建模。 其次,我们将详细讨论prototypica...
Contrastive Self-supervised Learning (CSL) is a practical solution that learns meaningful visual representations from massive data in an unsupervised approach. The ordinary CSL embeds the features extracted from neural networks onto specific topological structures. During the training progress, the ...
Unsupervised graph representation learning methods based on contrastive learning have drawn increasing attention and achieved promising performance. Most of these methods only model instance-level feature similarity while ignoring the underlying semantic structure of the whole data. In this paper, we propose...
cross-modality contrastive learning how to train the modality fusion block train python main_fusion.py --data_path xxx --depth 2 --checkpoint xxx(prototype-encoder) --output_dir xxx --gate True --noise_ratio 0.5 --saveckp_freq 100 --warmup_epochs 50 At the inferrence time, a csv fi...
Security Prototypical Contrastive Learning of Unsupervised Representations (Salesforce Research) This is a PyTorch implementation of thePCL paper: @inproceedings{PCL, title={Prototypical Contrastive Learning of Unsupervised Representations}, author={Junnan Li and Pan Zhou and Caiming Xiong and Steven C.H...