44 citations · 82 across the 6 of their papers we have counts for
3 papers · 1 filter
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
Nicholas Soures, Peter Helfer, Anurag Daram +2
Catastrophic interference, the loss of previously learned information when learning new information, remains a major challenge in machine learning. Since living organisms do not se…
Continual Learning and Catastrophic Forgetting
Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
This book chapter delves into the dynamics of continual learning, which is the process of incrementally learning from a non-stationary stream of data. Although continual learning i…
Probabilistic Metaplasticity for Continual Learning with Memristors
Fatima Tuz Zohora, Vedant Karia, Nicholas Soures +1
Edge devices operating in dynamic environments critically need the ability to continually learn without catastrophic forgetting. The strict resource constraints in these devices po…