212 citations · 479 across the 14 of their papers we have counts for
3 papers · 1 filter
Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers
Narsimha Chilkuri, Eric Hunsberger, Aaron Voelker +2
Recent studies have demonstrated that the performance of transformers on the task of language modeling obeys a power-law relationship with model size over six orders of magnitude.…
A Spiking Neural Network for Image Segmentation
Kinjal Patel, Eric Hunsberger, Sean Batir +1
We seek to investigate the scalability of neuromorphic computing for computer vision, with the objective of replicating non-neuromorphic performance on computer vision tasks while…
Parallelizing Legendre Memory Unit Training
Narsimha Chilkuri, Chris Eliasmith
Recently, a new recurrent neural network (RNN) named the Legendre Memory Unit (LMU) was proposed and shown to achieve state-of-the-art performance on several benchmark datasets. He…