Profile

Bac is a research scientist at Sony AI who focuses his research on representation learning, vision-language models, and generative modeling. His work spans various application domains, such as text-to-speech and voice conversion, and he has made numerous important contributions to the field. Bac graduated summa cum laude with his Master of Science in Computer Science from Universidad Central de Las Villas in 2015, followed by a Ph.D. from Ghent University in 2019.

Message

My current research is focused on leveraging the power of deep neural networks and state-of-the-art algorithms to tackle the challenges of generative AI.

Publications

Sparo: Selective Attention for Robust and Compositional Transformer Encodings for Vision

ECCV, 2024
Ankit Vani*, Bac Nguyen, Samuel Lavoie*, Ranjay Krishna*, Aaron Courville*

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 distractions and to new compositions of perceivable concepts. Transformers employ a similar notion…

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning

ECCV, 2024
Bac Nguyen, Stefan Uhlich*, Fabien Cardinaux*, Lukas Mauch*, Marzieh Edraki*, Aaron Courville*

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-trained vision-language model like CLIP has demonstrated remarkable zero-shot performance, further …