14 citations · 14 across the 5 of their papers we have counts for
5 papers
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han, Jian-wei Liu
The goal of continual learning is to provide intelligent agents that are capable of learning continually a sequence of tasks using the knowledge obtained from previous tasks while…
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Ya-nan Han, Jian-wei Liu
Continual learning aims to rapidly and continually learn the current task from a sequence of tasks. Compared to other kinds of methods, the methods based on experience replay have…
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han, Jian-wei Liu
Continual learning aims to learn a sequence of tasks by leveraging the knowledge acquired in the past in an online-learning manner while being able to perform well on all previous…
Bilevel Online Deep Learning in Non-stationary Environment
Ya-nan Han, Jian-wei Liu, Bing-biao Xiao +2
Recent years have witnessed enormous progress of online learning. However, a major challenge on the road to artificial agents is concept drift, that is, the data probability distri…
Tri-Transformer Hawkes Process: Three Heads are better than one
Zhi-yan Song, Jian-wei Liu, Lu-ning Zhang +1
Abstract. Most of the real world data we encounter are asynchronous event sequence, so the last decades have been characterized by the implementation of various point process into…