research
∙
07/12/2016
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
In this paper, we propose a novel unsupervised domain adaptation algorit...
share
research
∙
02/06/2016
Strongly-Typed Recurrent Neural Networks
Recurrent neural networks are increasing popular models for sequential l...
research
∙
10/15/2015
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
This paper addresses classification tasks on a particular target domain ...
research
∙
09/10/2015
Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies
This paper proposes GProp, a deep reinforcement learning algorithm for c...
research
∙
08/31/2015
Domain Generalization for Object Recognition with Multi-task Autoencoders
The problem of domain generalization is to take knowledge acquired from ...
research
∙
09/21/2014