目录 概 主要内容 Wang Z., Zhang W., Liu N. and Wang J. Scalable rule-based representation learning for interpretable classification. In Advances in Neural Information Processing Systems (NIPS), 2021. 概 传统的诸如决策树之类的机器学习方法具有很强的结构性, 也因此具有很好的可解释性. 和深度学习方法相比, 这类方…
论文信息 论文标题:Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning论文作者:Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu论文来源:2020 ICDM论文地址:download 论文代码:download 1 Introduction 创新点:提出一种新的子图对比度自监督表示学习方法,利用…
Hierarchical Attention Based Semi-supervised Network Representation Learning 1. 任务 给定:节点信息网络 目标:为每个节点生成一个低维向量   基于半监督的分层关注网络嵌入方法 2. 创新点: 以半监督的方式结合外部信息 1. 提出SHANE 模型,集成节点结构,文本和标签信息,并以半监督的方式学习网络嵌入 2. 使用分层注意网络学习节点的文本特征, 两层双向GRU 提取单词和句子的潜在特征   3. 背景 1. 现…
[论文阅读笔记] metapath2vec: Scalable Representation Learning for Heterogeneous Networks 本文结构 解决问题 主要贡献 算法原理 参考文献 (1) 解决问题 解决异构网络上的节点嵌入问题. 论文中指出了异构网络嵌入的两个关键问题: 在异构网络中,如何定义和建模节点邻域的概念? 如何优化嵌入模型,使得其能够有效的保留多种类型的节点和边的结构和语义信息. (2) 主要贡献 Contribution 1: 定义了异构网络表示学…
Evolution Strategies as a Scalable Alternative to Reinforcement Learning this blog from: https://blog.openai.com/evolution-strategies/   MARCH 24, 2017 Evolution Strategies as a Scalable Alternative to Reinforcement Learning We’ve discovered that evo…
this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/   Notes on Representation Learning By Zac Kriegman, Senior Data Scientist in the Thomson Reuters Data Innovation Lab | 02/07/2017 Tags: Deep Learning , Neural Networ…
Self-Supervised Representation Learning 2019-11-11 21:12:14  This blog is copied from: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html Self-Supervised Representation Learning Nov 10, 2019 by Lilian Weng representation-le…
目录 主要挑战 主要的贡献和创新点 提出的方法 总体框架与算法 Vanilla pseudo label sampling (PLS) PLS with adversarial learning Training losses 实验与结果 结论 导言 文章提出了一种新的三元组损失 HSoften-Triplet-Loss,在处理one-shot Re-ID任务中的噪声伪标签样本方面非常强大.文章还提出了一种伪标签采样过程,确保了在保持高可靠性的同时为训练图像形成正对和负对的可行性.与此同时,文章…
论文信息 Title:<Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning> Authors:Jiwoong Park.Minsik Lee.H. Chang.Kyuewang Lee.J. Choi Sources:2019 IEEE/CVF International Conference on Computer Vision (ICCV) Paper:Downlo…
Predictive learning vs. representation learning  预测学习 与 表示学习 When you take a machine learning class, there's a good chance it's divided into a unit on supervised learning and a unit on unsupervised learning. We certainly care about this distinction f…