13 citations · 51 across the 19 of their papers we have counts for
3 papers · 1 filter
Early DSE and Automatic Generation of Coarse Grained Merged Accelerators
Iulian Brumar, Georgios Zacharopoulos, Yuan Yao +3
Post-Moore's law area-constrained systems rely on accelerators to deliver performance enhancements. Coarse grained accelerators can offer substantial domain acceleration, but manua…
Boost Neural Networks by Checkpoints
Feng Wang, Guoyizhe Wei, Qiao Liu +3
Training multiple deep neural networks (DNNs) and averaging their outputs is a simple way to improve the predictive performance. Nevertheless, the multiplied training cost prevents…
Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models
Coleman Hooper, Thierry Tambe, Gu-Yeon Wei
This work analyzes how attention-based Bidirectional Long Short-Term Memory (BLSTM) models adapt to noise-augmented speech. We identify crucial components for noise adaptation in B…