While natural gradients have been widely studied from both theoretical a...
Recently, particle-based variational inference (ParVI) methods have gain...
Tracking with natural-language (NL) specification is a powerful new para...
Efficient exploration remains a challenging problem in reinforcement
lea...
In recent years, deep-learning-based visual object trackers have been st...
Conventional unsupervised domain adaptation (UDA) assumes that training ...
Regularization plays a crucial role in supervised learning. Most existin...
Regularization plays a crucial role in supervised learning. A successful...
We study the problem of supervised learning for both binary and multicla...