Continual Few-Shot Learning with Adversarial Class Storage

no code implementations • 10 Jul 2022 • Kun Wu, Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang, Dejun Yang

In this paper, we define a new problem called continual few-shot learning, in which tasks arrive sequentially and each task is associated with a few training samples.

continual few-shot learning Few-Shot Learning +1

Experience-driven Networking: A Deep Reinforcement Learning based Approach

no code implementations • 17 Jan 2018 • Zhiyuan Xu, Jian Tang, Jingsong Meng, Weiyi Zhang, Yanzhi Wang, Chi Harold Liu, Dejun Yang

Modern communication networks have become very complicated and highly dynamic, which makes them hard to model, predict and control.

Continuous Control reinforcement-learning +1