3 papers
cs.LG2025
Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
Nicki Barari, Edward Kim, Christopher MacLellan
Catastrophic forgetting remains a central challenge in continual learning, where models are required to integrate new knowledge over time without losing what they have previously l…
cs.AI2025
Taxonomic Networks: A Representation for Neuro-Symbolic Pairing
Zekun Wang, Ethan L. Haarer, Nicki Barari +1
We introduce the concept of a \textbf{neuro-symbolic pair} -- neural and symbolic approaches that are linked through a common knowledge representation. Next, we present \textbf{tax…
cs.LG2024
Incremental Concept Formation over Visual Images Without Catastrophic Forgetting
Nicki Barari, Xin Lian, Christopher J. MacLellan
Deep neural networks have excelled in machine learning, particularly in vision tasks, however, they often suffer from catastrophic forgetting when learning new tasks sequentially.…