Victor Quétu

According to our database, Victor Quétu authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?

Victor Quétu, Enzo Tartaglione

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Disentangling private classes through regularization.

Enzo Tartaglione, Francesca Gennari, Victor Quétu, Marco Grangetto

Neurocomputing, October, 2023

The Quest of Finding the Antidote to Sparse Double Descent.

Victor Quétu, Marta Milovanovic

CoRR, 2023

Dodging the Sparse Double Descent.

Victor Quétu, Enzo Tartaglione

CoRR, 2023

Dodging the Double Descent in Deep Neural Networks.

Victor Quétu, Enzo Tartaglione

Proceedings of the IEEE International Conference on Image Processing, 2023

Sparse Double Descent in Vision Transformers: Real or Phantom Threat?

Victor Quétu, Marta Milovanovic, Enzo Tartaglione

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?

Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023