13 citations · 40 across the 9 of their papers we have counts for
3 papers · 1 filter
Class-Incremental Learning via Knowledge Amalgamation
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang +1
Catastrophic forgetting has been a significant problem hindering the deployment of deep learning algorithms in the continual learning setting. Numerous methods have been proposed t…
Reinforced Continual Learning for Graphs
Appan Rakaraddi, Siew Kei Lam, Mahardhika Pratama +1
Graph Neural Networks (GNNs) have become the backbone for a myriad of tasks pertaining to graphs and similar topological data structures. While many works have been established in…
Autonomous Cross Domain Adaptation under Extreme Label Scarcity
Weiwei Weng, Mahardhika Pratama, Choiru Za'in +4
A cross domain multistream classification is a challenging problem calling for fast domain adaptations to handle different but related streams in never-ending and rapidly changing…