-
Unsupervised Domain Adaptation without Source Data by Casting a BAIT
Unsupervised domain adaptation (UDA) aims to transfer the knowledge lear...
10/23/2020 ∙ by Shiqi Yang, et al. ∙
0
∙
share
read it
-
Neural Architecture Search For Keyword Spotting
Deep neural networks have recently become a popular solution to keyword ...
09/01/2020 ∙ by Tong Mo, et al. ∙
0
∙
share
read it
-
Generative Feature Replay For Class-Incremental Learning
Humans are capable of learning new tasks without forgetting previous one...
04/20/2020 ∙ by Xialei Liu, et al. ∙
0
∙
share
read it
-
Semantic Drift Compensation for Class-Incremental Learning
Class-incremental learning of deep networks sequentially increases the n...
04/01/2020 ∙ by Lu Yu, et al. ∙
0
∙
share
read it
-
RNAS: Architecture Ranking for Powerful Networks
Neural Architecture Search (NAS) is attractive for automatically produci...
09/30/2019 ∙ by Yixing Xu, et al. ∙
10
∙
share
read it
-
ReNAS:Relativistic Evaluation of Neural Architecture Search
An effective and efficient architecture performance evaluation scheme is...
09/30/2019 ∙ by Yixing Xu, et al. ∙
0
∙
share
read it
