1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
Matt Gorbett, Hossein Shirazi, Indrakshi Ray
Binary Neural Networks (BNNs) enable efficient deep learning by saving on storage and computational costs. However, as the size of neural networks continues to grow, meeting comput…
cs.LG2023
Sparse Binary Transformers for Multivariate Time Series Modeling
Matt Gorbett, Hossein Shirazi, Indrakshi Ray
Compressed Neural Networks have the potential to enable deep learning across new applications and smaller computational environments. However, understanding the range of learning t…
cs.LG2023★ 1 cited
Randomly Initialized Subnetworks with Iterative Weight Recycling
Matt Gorbett, Darrell Whitley
The Multi-Prize Lottery Ticket Hypothesis posits that randomly initialized neural networks contain several subnetworks that achieve comparable accuracy to fully trained models of t…