4 citations · 4 across the 7 of their papers we have counts for
3 papers · 1 filter
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen, Stefan Uhlich, Fabien Cardinaux +3
Handling distribution shifts from training data, known as out-of-distribution (OOD) generalization, poses a significant challenge in the field of machine learning. While a pre-trai…
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision
Ankit Vani, Bac Nguyen, Samuel Lavoie +2
Selective attention helps us focus on task-relevant aspects in the constant flood of our sensory input. This constraint in our perception allows us to robustly generalize under dis…
SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning
Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen +1
Self-supervised learning (SSL) has achieved remarkable success across various speech-processing tasks. To enhance its efficiency, previous works often leverage the use of compressi…