24 citations · 24 across the 4 of their papers we have counts for
5 papers
Cross-Domain Continual Learning via CLAMP
Weiwei Weng, Mahardhika Pratama, Jie Zhang +3
Artificial neural networks, celebrated for their human-like cognitive learning abilities, often encounter the well-known catastrophic forgetting (CF) problem, where the neural netw…
Towards Cross-Domain Continual Learning
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang +2
Continual learning is a process that involves training learning agents to sequentially master a stream of tasks or classes without revisiting past data. The challenge lies in lever…
ACDC: Online Unsupervised Cross-Domain Adaptation
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang +1
We consider the problem of online unsupervised cross-domain adaptation, where two independent but related data streams with different feature spaces -- a fully labeled source strea…
Autonomous Deep Quality Monitoring in Streaming Environments
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer +1
The common practice of quality monitoring in industry relies on manual inspection well-known to be slow, error-prone and operator-dependent. This issue raises strong demand for aut…
Continual Learning via Inter-Task Synaptic Mapping
Mao Fubing, Weng Weiwei, Mahardhika Pratama +1
Learning from streaming tasks leads a model to catastrophically erase unique experiences it absorbs from previous episodes. While regularization techniques such as LWF, SI, EWC hav…