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; 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; 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 (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 (CoRR, 2023)