2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers
Zhu Liao, Nour Hezbri, Victor Quétu +2
Today, deep neural networks are widely used since they can handle a variety of complex tasks. Their generality makes them very powerful tools in modern technology. However, deep ne…
cs.AI2023
The Quest of Finding the Antidote to Sparse Double Descent
Victor Quétu, Marta Milovanović
In energy-efficient schemes, finding the optimal size of deep learning models is very important and has a broad impact. Meanwhile, recent studies have reported an unexpected phenom…
cs.CV2023★ 2 cited
Sparse Double Descent in Vision Transformers: real or phantom threat?
Victor Quétu, Marta Milovanovic, Enzo Tartaglione
Vision transformers (ViT) have been of broad interest in recent theoretical and empirical works. They are state-of-the-art thanks to their attention-based approach, which boosts th…