Exploiting Domain-Specific Features to Enhance Domain Generalization. - Manh-Ha Bui; Toan Tran 003; Anh Tran 001; Dinh Q. Phung (NeurIPS, 2021)

Domain Invariant Representation Learning with Domain Density Transformations. - A. Tuan Nguyen; Toan Tran 003; Yarin Gal; Atilim Gunes Baydin (NeurIPS, 2021)

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. - Trung Phung; Trung Le 001; Long Vuong; Toan Tran 003; Anh Tran 001; Hung Bui 001; Dinh Q. Phung (NeurIPS, 2021)

KL Guided Domain Adaptation. - A. Tuan Nguyen; Toan Tran 003; Yarin Gal; Philip H. S. Torr; Atilim Gunes Baydin (ICLR, 2022)

Stochastic Multiple Target Sampling Gradient Descent. - Hoang Phan; Ngoc Tran; Trung Le 001; Toan Tran 003; Nhat Ho; Dinh Phung 001 (NeurIPS, 2022)

Robust Contrastive Learning With Theory Guarantee. - Ngoc N. Tran; Lam Tran; Hoang Phan; Anh Tuan Bui; Tung Pham 001; Toan Tran 003; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All. - Quyen Tran; Lam Tran; Khoat Than; Toan Tran 003; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance. - Viet Nguyen; Anh Nguyen; Trung Tuan Dao; Khoi Nguyen 001; Cuong Pham 001; Toan Tran 003; Anh Tran 001 (CoRR, 2024)

Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning. - Huu Binh Ta; Duc Nguyen; Quyen Tran; Toan Tran 003; Tung Pham 001 (CVPR, 2025)

Boosting Multiple Views for pretrained-based Continual Learning. - Quyen Tran; Tung Lam Tran; Khanh Doan; Toan Tran 003; Dinh Q. Phung; Khoat Than; Trung Le 001 (ICLR, 2025)