no code implementations • 4 Apr 2024 • Andrew Lavin
Deep learning researchers have used convnets to produce accurate results that were unachievable a decade ago.
5 code implementations • CVPR 2016 • Andrew Lavin, Scott Gray
The algorithms compute minimal complexity convolution over small tiles, which makes them fast with small filters and small batch sizes.
1 code implementation • 27 Jan 2015 • Andrew Lavin
This paper describes maxDNN, a computationally efficient convolution kernel for deep learning with the NVIDIA Maxwell GPU.