2 citations · 6 across the 17 of their papers we have counts for
4 papers · 1 filter
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
James P Jun, Vijay Marupudi, Raj Sanjay Shah +1
Learning new information without forgetting prior knowledge is central to human intelligence. In contrast, neural network models suffer from catastrophic forgetting: a significant…
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…
Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments
Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi +1
Neural networks often suffer from catastrophic interference (CI): performance on previously learned tasks drops off significantly when learning a new task. This contrasts strongly…
Understanding the Countably Infinite: Neural Network Models of the Successor Function and its Acquisition
Vima Gupta, Sashank Varma
As children enter elementary school, their understanding of the ordinal structure of numbers transitions from a memorized count list of the first 50-100 numbers to knowing the succ…