no code implementations • 10 Dec 2023 • Khanh Doan, Quyen Tran, Tung Lam Tran, Tuan Nguyen, Dinh Phung, Trung Le
To address this, we propose the Gradient Projection Class-Prototype Conditional Diffusion Model (GPPDM), a GR-based approach for continual learning that enhances image quality in generators and thus reduces the CF in classifiers.
no code implementations • 26 Nov 2023 • Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Phung, Trung Le
Drawing inspiration from prompt tuning techniques applied to Large Language Models, recent methods based on pre-trained ViT networks have achieved remarkable results in the field of Continual Learning.
no code implementations • 30 Nov 2022 • Quyen Tran, Hoang Phan, Khoat Than, Dinh Phung, Trung Le
To address this issue, in this work, we first propose an online mixture model learning approach based on nice properties of the mature optimal transport theory (OT-MM).
1 code implementation • 26 Jul 2021 • Quyen Tran, Lam Tran, Linh Chu Hai, Linh Ngo Van, Khoat Than
In addition, we go from the hypothesis that a user's preference at a time is a combination of long-term and short-term interests.