Tech Xplore

AI training method slashes pre-training time by 50% while boosting accuracy

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...
IEEE

Efficient Deep Neural Network Training With a Novel 5.3-Bit Block Floating Point Data Format

Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...
IEEE

Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning

Abstract: Training graph neural networks (GNNs) on large graphs is challenging due to both the high memory and computational costs of end-to-end training and the scarcity of detailed node-level ...
GitHub

Neural Pupil Engineering for off-axis Fourier Ptychography

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...