Nguyen, Van-Tam

10 publications

TMLR 2026 Layer Collapse Can Be Induced by Unstructured Pruning Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

ICML 2025 Beyond Low-Rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen, Enzo Tartaglione

NeurIPS 2025 Self-Supervised Learning of Graph Representations for Network Intrusion Detection Lorenzo Guerra, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen

AAAI 2025 Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

NeurIPS 2024 Activation mAP Compression Through Tensor Decomposition for Deep Learning Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen

ECCV 2024 Debiasing Surgeon: Fantastic Weights and How to Find Them Remi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione

ECCVW 2024 Memory-Optimized Once-for-All Network Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione

ICCVW 2023 Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

ICCV 2023 Mining Bias-Target Alignment from Voronoi Cells Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione

ICCVW 2023 SCoTTi: Save Computation at Training Time with an Adaptive Framework Ziyu Li, Enzo Tartaglione, Van-Tam Nguyen