5.2.2 CNN architectures and Training Procedure 一般来说,我们从两个或三个卷积层组成特征提取器,从以前的工作中选择它们的精确配置。更准确地说,我们的实验使用了四种不同的结构。前三个如图5所示。对于OFFICE域,我们使用来自caffe包的预训练的AlexNet 模型(Jia et al., 2014)。适应架构与Tzeng et al.(2014)...
Lempitsky, "Domain- adversarial training of neural networks," The Journal of Machine Learning Research, pp. 2096-2030, 2016.Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. S. Lempitsky. Domain- adversarial training of neural networks. ...
domain-adversarial training of neural networks 神经网络的领域对抗训练 重点词汇释义 neural神经的; 背的，背侧的 networks网( network的名词复数 ); 网络; 网状物; 广播网
(target)domains.Theapproachimplementsthisideainthecontextofneuralnetworkarchitecturesthataretrainedonlabeleddatafromthesourcedomainandunlabeleddatafromthetargetdo-main(nolabeledtarget-domaindataisnecessary).Asthetrainingprogresses,theapproachpromotestheemergenceoffeaturesthatare(i)discriminativeforthemainlearningtaskon...
The approach implements this idea in the context of neural network architectures that are trained on labeled data from the source domain and unlabeled data from the target domain (no labeled target-domain data is necessary). As the training progresses, the approach promotes the emergence of ...
[ Domain-Adversarial Neural Networks(DANN)] Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Francois Laviolette, Mario Marchand, and Victor Lempitsky.Domain-adversarial training of neural networks.Journal of Machine Learning Research, 17(59):1?5, 2016. ...
Adversarial training of neural networks Methods, systems, and apparatus, including computer programs encoded on computer storage media, for adversarial training of a neural network. One of the methods includes obtaining a plurality of training inputs; and training the neural n... C Szegedy,I ...
Domain-Adversarial Training of Neural Networks in Tensorflow "Unsupervised Domain Adaptation by Backpropagation" introduced a simple and effective method for accomplishing domain adaptation with SGD with a gradient reversal layer. This work was elaborated and extended in "Domain-Adversarial Training of Neur...
This is a pytorch implementation of the paperUnsupervised Domain Adaptation by Backpropagation Environment Pytorch 1.0 Python 2.7 Network Structure First, you need download the target dataset mnist_m frompan.baidu.comfetch code: kjan orGoogle Drive ...
We introduce a new representation learning algorithm suited to the context of domain adaptation, in which data at training and test time come from similar but different distributions. Our algorithm is directly inspired by theory on domain adaptation sugg