Active Lifelong Learning with “Watchdog”

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	Active Lifelong Learning with “Watchdog”
	Sun G(孙干)2,3 ; Xu XW(徐晓伟)1; Cong Y(丛杨)3
	2018
会议日期	February 2-7, 2018
会议地点	New Orleans, Louisiana, USA
页码	4107-4114
英文摘要	Lifelong learning intends to learn new consecutive tasks depending on previously accumulated experiences, i.e., knowledge library. However, the knowledge among different new coming tasks are imbalance. Therefore, in this paper, we try to mimic an effective “human cognition” strategy by actively sorting the importance of new tasks in the process of unknown-to-known and selecting to learn the important tasks with more information preferentially. To achieve this, we consider to assess the importance of the new coming task, i.e., unknown or not, as an outlier detection issue, and design a hierarchical dictionary learning model consisting of two-level task descriptors to sparse reconstruct each task with the _0 norm constraint. The new coming tasks are sorted depending on the sparse reconstruction score in descending order, and the task with high reconstruction score will be permitted to pass, where this mechanism is called as “watchdog”. Next, the knowledge library of the lifelong learning framework encode the selected task by transferring previous knowledge, and then can also update itself with knowledge from both previously learned task and current task automatically. For model optimization, the alternating direction method is employed to solve our model and converges to a fixed point. Extensive experiments on both benchmark datasets and our own dataset demonstrate the effectiveness of our proposed model especially in task selection and dictionary learning.
产权排序	1
会议录	32nd AAAI Conference on Artificial Intelligence (AAAI-18)
会议录出版者	AAAI
会议录出版地	Palo Alto, USA
语种	英语
WOS记录号	WOS:000485488904024
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/23843]
专题	沈阳自动化研究所_机器人学研究室
通讯作者	Sun G(孙干)
作者单位	1.Department of Information Science, University of Arkansas at Little Rock, USA 2.University of Chinese Academy of Sciences, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
推荐引用方式 GB/T 7714	Sun G,Xu XW,Cong Y. Active Lifelong Learning with “Watchdog”[C]. 见:. New Orleans, Louisiana, USA. February 2-7, 2018.