KERNEL functionsTransfer learning refers to the process of adapting a model trained on a source task to a target task. While kernel methods are conceptually and computationally simple models that are competitive on a variety of tasks, it has been unclear how to develop scalable kernel-based ...
Meta-Learning with Memory-Augmented Neural Networks A Santoro 而这种思想做的更极致的是Meta Net 一...
基于特征的 Transfer Learning:在这种类型的 Transfer Learning 中,源任务的模型用于提取输入数据的特征,这些特征然后用于目标任务的模型。这种类型的 Transfer Learning 通常涉及到两个不同的神经网络:特征提取器和分类器。 基于模型的 Transfer Learning:在这种类型的 Transfer Learning 中,源任务的模型直接用于目标任务。
Meta-Learning with Memory-Augmented Neural Networks A Santoro 而这种思想做的更极致的是Meta Net 一...
Rich,Caruana - 《Machine Learning》 被引量: 1623发表: 1997年 Transfer Representation Learning With TSK Fuzzy System Transfer learning can address the learning tasks of unlabeled data in the target domain by leveraging plenty of labeled data from a different but related s... P Xu,Z Deng,J Wan...
转http://www.zhizhihu.com/html/y2009/790.html迁移学习(Transfer Learning)TL在机器学习领域,迁移学习(Transfer learning)是一个比较新的名词。目前国内做这个方面的很少,我目前只知道香港科技大学杨强教授及上海交大的机器学习
ML-10 A Theory of Learning from Different Domains NIPS-08 Learning Bounds for Domain Adaptation COLT-09 Domain adaptation: Learning bounds and algorithms MMD paper:A Hilbert Space Embedding for Distributions and A Kernel Two-Sample Test Multi-kernel MMD paper: Optimal kernel choice for large-scale...
Latest commit jindongwang add: 9 papers Apr 1, 2024 b3f954c·Apr 1, 2024 History History Transfer learning applications By reverse chronological order. 迁移学习的应用,按照时间顺序倒序排列。 Computer vision Time series Speech
Here are some popular thesis on transfer learning. 硕博士论文可以让我们很快地对迁移学习的相关领域做一些了解,同时,也能很快地了解概括相关研究者的工作。其中,比较有名的有 2016 Baochen Sun的Correlation Alignment for Domain Adaptation 2015 南加州大学的Boqing Gong的Kernel Methods for Unsupervised Domain Ada...
ridge regressionsupport vector machine (SVMtransfer learningzero-shot learningKronecker product kernel provides the standard approach in the kernel methods' ... A Airola,T Pahikkala - 《IEEE Transactions on Neural Networks & Learning Systems》 被引量: 2发表: 2016年 Convolutional graph neural networks...