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)...
(target)domains. Theapproachimplementsthisideainthecontextofneuralnetworkarchitecturesthat aretrainedonlabeleddatafromthesourcedomainandunlabeleddatafromthetargetdo- main(nolabeledtarget-domaindataisnecessary).Asthetrainingprogresses,theapproach promotestheemergenceoffeaturesthatare(i)discriminativeforthemainlearning...
内容提示: Chapter 10Domain-Adversarial Training of NeuralNetworksYaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain,Hugo Larochelle, François Laviolette, Mario Marchandand Victor LempitskyAbstract Weintroducearepresentationlearningapproachfordomainadaptation,inwhichdataattrainingandtesttimecomefrom...
Domain-adversarial training of neural networks. The Journal of Machine Learning Research, 2016.Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V. (2016) Domain-adversarial training of neural networks. The Journal of Machine ...
Intuition: for effective domain transfer to be achieved, predictions must be made based on features that cannot discriminate between the training (source) and test (target) domains Goal: ensure that the internal representation of the neural network contains no discriminative information about the origin...
predictions must be made based on features that cannotdiscriminate between the training (source) and test (target) domains.The approach implements this idea in the context of neural network architectures thatare trained on labeled data from the source domain and unlabeled data from the target do-m...
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference 摘要 作者提出了一种只使用整数运算的quantization方式,比起float point运算效率更高。同时提出了一种相应的训练方式来保证quantization之后的准确率。这篇文章的方法提升了accuracy和on-device latency之间的trade off,并且可...
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
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 Goodfe...
training (source) and test (target) domains. 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...