The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately,
many application domains do not have access to big data because acquiring data involves a …

Visual mapless navigation (VMN), modeling a direct mapping between sensory inputs and
agent actions, aims to navigate from a stochastic origin location to a prescribed goal in an …

Low-resource automatic speech recognition is a challenging task due to a lack of labeled
training data. To resolve this issue, multilingual meta-learning learns a better model …

Face recognition technology is now mature enough to reach commercial products, such as
smart phones or tablets. However, it still needs to increase robustness against imposter …

深度学习和强化学习严重受限于小样本数据集, 容易发生过拟合, 无法实现类似于人类强泛化性
的学习能力. 元学习为此应运而生, 以累积经验的方式形成“价值观”, 基于本身的认知和价值判断 …

Recent advances in the field of artificial intelligence have been made possible by deep
neural networks. In applications where data are scarce, transfer learning and data …

僵尸网络给互联网带来了极大的威胁, 尽早有效地检测出僵尸网络对于维护网络空间安全具有
重要的实践意义. 然而在僵尸网络发现初期, 可获得带标记样本数量较少, 这使得目前大部分基于 …

Motion planning in unknown environments is still a challenge, especially for Unmanned
Aerial Vehicles (UAVs) with limited computation resources. Classical motion planning …