Deep learning architectures for accurate millimeter wave positioning in 5G
The introduction of 5G's millimeter wave transmissions brings a new paradigm to wireless
communications. Whereas physical obstacles were mostly associated with signal …
communications. Whereas physical obstacles were mostly associated with signal …
A minimax game for instance based selective transfer learning
Deep neural network based transfer learning has been widely used to leverage information
from the domain with rich data to help domain with insufficient data. When the source data …
from the domain with rich data to help domain with insufficient data. When the source data …
Easytransfer: a simple and scalable deep transfer learning platform for NLP applications
The literature has witnessed the success of leveraging Pre-trained Language Models
(PLMs) and Transfer Learning (TL) algorithms to a wide range of Natural Language …
(PLMs) and Transfer Learning (TL) algorithms to a wide range of Natural Language …
Transfer learning with deep manifold regularized auto-encoders
The excellent performance of transfer learning has emerged in the past few years. How to
find feature representations which minimize the distance between source and target …
find feature representations which minimize the distance between source and target …
Semi-supervised representation learning: Transfer learning with manifold regularized auto-encoders
The excellent performance of transfer learning has emerged in the past few years. How to
find feature representations which minimizes the distance between source and target …
find feature representations which minimizes the distance between source and target …