10 citations · 18 across the 2 of their papers we have counts for
3 papers
q-bio.QM2022★ 10 cited
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
Dominic Masters, Josef Dean, Kerstin Klaser +7
This technical report presents GPS++, the first-place solution to the Open Graph Benchmark Large-Scale Challenge (OGB-LSC 2022) for the PCQM4Mv2 molecular property prediction task.…
cs.LG2021★ 8 cited
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training
Dominic Masters, Antoine Labatie, Zach Eaton-Rosen +1
Much recent research has been dedicated to improving the efficiency of training and inference for image classification. This effort has commonly focused on explicitly improving the…
cs.LG2018
Revisiting Small Batch Training for Deep Neural Networks
Dominic Masters, Carlo Luschi
Modern deep neural network training is typically based on mini-batch stochastic gradient optimization. While the use of large mini-batches increases the available computational par…