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)(A 2-layer domain classifier (x→1024→1024→2) is attached to the 256-dimensional bottleneck of fc7)相同 对于域自适应组件,我们使用了三个全连接层(x→1024→1024→2)(除了MNIST,其我们使...
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. ...
论文地址:Domain-Adversarial Training of Neural Networks Adversarial Discriminative Domain Adaptation 代码地址:pytorch-domain-adaptation 自2018年以来,领域自适应发展地非常迅速,这很大一部分得益于下游应用的广泛需要。深度学习作为一门数据驱动的科学,在任何领域都需要大量的标注数据来训练。暂时还没有能力使得无监督或...
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
domainadversarialtrainingneuralnetworksskolkovo JournalofMachineLearningResearch17(2016)1-35Submitted5/15;Published4/16Domain-AdversarialTrainingofNeuralNetworksYaroslavGaninganin@skoltech.ruEvgeniyaUstinovaevgeniya.ustinova@skoltech.ruSkolkovoInstituteofScienceandTechnology(Skoltech)Skolkovo,MoscowRegion,RussiaHanaAjaka...
^Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., ... & Lempitsky, V. (2016). Domain-adversarial training of neural networks. The journal of machine learning research, 17(1), 2096-2030.https://www.jmlr.org/papers/volume17/15-239/15-239.pdf...
Domain-Adversarial Neural Networks 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 ... H Ajakan,P Germain,H Larochelle,... - 《Eprint Arxiv》 被引量: 87发表: 2014年 小波包域对抗注意...
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...
[ 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. ...