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Bert Moons

2 accepted papers

2023

Differentiable Transportation Pruning

ICCV 2023poster

Deep learning algorithms are increasingly employed at the edge. However, edge devices are resource constrained and thus require efficient deployment of deep neural networks. Pruning methods are a key tool for edge deployment as they can improve storage, compute, memory bandwidth, and energy usage. I…

Cited by 16PDFScholar
2021

Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces

ICCV 2021poster

Current state-of-the-art Neural Architecture Search (NAS) methods neither efficiently scale to many hardware platforms nor handle diverse architectural search-spaces. To remedy this, we present DONNA (Distilling Optimal Neural Network Architectures), a novel pipeline for rapid, scalable and diverse…

Cited by 48PDFScholar