The second approach is based on the principle of mutual information maximization. Given a source modality image, this approach first generates multiple target modality candidate values independently for each voxel by performing nearest neighbor search over the training database. Then, the best candidate...
此外,作者提供了整体网络内每个模块使用的具体结构: 实验结果及可视化 在各个数据集上的实验结果 不同互信息惩罚项以及特征图合成方式的消融实验 一些可视化结果 论文信息 InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization arxiv.org/pdf/2110.0347 ...
但是他们仍然忽视了二部图的全局性质。 2.2 Mutual Information Maximization 最大化输入和潜在嵌入空间的MI为无监督学习提供了一个理想的范例。然而在高维连续设置中估计MI是比较困难的。MINE推到了MI的下界,并通过训练鉴别器来区分来自两个随机变量的联合分布或者其边缘的乘积的样本。DIM将结构信息引入到输入中,并采用...
论文标题:InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization 论文作者:Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang 论文来源:2020, ICLR 论文地址:download 论文代码:download 1 Introduction ...
LearningConditioned Graph score 实际操作中的两种方法: Title:Learningdeep representationsbymutualinformationestimation andmaximization(2019ICLR) Author:R Devon Hjelm(MSR Montreal) Method:我的理解是在DeepInfoMAX的基础上加了一个multi-scale,即不同尺度上的...
自然语言处理学习——论文分享——A Mutual Information Maximization Perspective of Language Representation Learning 资料放在前面:https://blog.csdn.net/Arnetminer/article/details/105840669这篇论文讲的是 学习 自然语言处理 LLM 自然语言处理 逻辑 10.1自然语言理解查询数据库如果有人提出一个问题:Which country is...
DIM (code on GitHub(opens in new tab)) is based on two learning principles: mutual information maximization in the vein of the infomax optimization principle and self-supervision, an important unsupervised learning method that relies on intrinsic properties of the data to provide ...
Multimodal mutual information maximization: a novel approach for unsupervised deep cross-modal hashing. IEEE Transactions on Neural Networks and Learning Systems, 34(9), 6289–6302. https://doi.org/10.1109/TNNLS.2021.3135420 Article MATH Google Scholar Kumari, R., Ashok, N., Agrawal, P. K.,...
This paper aims to exploit disentangled representation learning with mutual information maximization (DR-MIM) to further improve DL-based trackers' precision and efficiency for UAV tracking. The proposed disentangled representation separates the feature into an identity-related and an identity-unrelated ...
S3-rec是人大和美团等研究人员在CIKM2020上发表的一篇文章,本文提出的S3-rec提出基于自监督神经网络架构,使用互信息最大化MIM(mutual information maximization)来充分挖掘出attribute,item,subsequence, and sequence之间的联系。 Abstract 传统的基于深度学习的序列推荐往往基于物品预测损失来训练模型参数或者数据特征。但是...