17 citations · 33 across the 4 of their papers we have counts for
4 papers
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…
Design Principles for Lifelong Learning AI Accelerators
Dhireesha Kudithipudi, Anurag Daram, Abdullah M. Zyarah +9
Lifelong learning - an agent's ability to learn throughout its lifetime - is a hallmark of biological learning systems and a central challenge for artificial intelligence (AI). The…
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker, Alexander New, Mario Aguilar-Simon +44
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks enc…
Non-volatile Hierarchical Temporal Memory: Hardware for Spatial Pooling
Lennard Streat, Dhireesha Kudithipudi, Kevin Gomez
Hierarchical Temporal Memory (HTM) is a biomimetic machine learning algorithm imbibing the structural and algorithmic properties of the neocortex. Two main functional components of…