4 papers
A Rational Account of Categorization Based on Information Theory
Christopher J. MacLellan, Karthik Singaravadivelan, Xin Lian +2
We present a new theory of categorization based on an information-theoretic rational analysis. To evaluate this theory, we investigate how well it can account for key findings from…
Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction
Xin Lian, Nishant Baglodi, Christopher J. MacLellan
This paper introduces Cobweb4L, a novel approach for efficient language model learning that supports masked word prediction. The approach builds on Cobweb, an incremental system th…
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
Xin Lian, Sashank Varma, Christopher J. MacLellan
Cobweb, a human-like category learning system, differs from most cognitive science models in incrementally constructing hierarchically organized tree-like structures guided by the…
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.…