Tran, Toan

17 publications

ICLR 2025 Boosting Multiple Views for Pretrained-Based Continual Learning Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than, Trung Le

AAAI 2025 CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran

NeurIPS 2025 Improved Training Technique for Shortcut Models Anh Nguyen, Viet Van Nguyen, Duc Vu, Trung Tuan Dao, Chi Tran, Toan Tran, Anh Tuan Tran

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

ICLR 2025 Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-Tuning Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan Tran, David Leo Wright Hall, Cheongwoong Kang, Jaesik Choi

ICCV 2025 Supercharged One-Step Text-to-Image Diffusion Models with Negative Prompts Viet Nguyen, Anh Nguyen, Trung Dao, Khoi Nguyen, Cuong Pham, Toan Tran, Anh Tran

AAAI 2024 On Inference Stability for Diffusion Models Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran

ICCV 2023 Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology Tuong Do, Binh X. Nguyen, Vuong Pham, Toan Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen

ICLR 2022 Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen

ICLR 2022 KL Guided Domain Adaptation A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip Torr, Atilim Gunes Baydin

NeurIPS 2022 Learning Fractional White Noises in Neural Stochastic Differential Equations Anh Tong, Thanh Nguyen-Tang, Toan Tran, Jaesik Choi

NeurIPS 2022 Stochastic Multiple Target Sampling Gradient Descent Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung

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

NeurIPS 2021 Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui, Toan Tran, Anh Tran, Dinh Phung

NeurIPS 2021 On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources Trung Phung, Trung Le, Tung-Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung

ICML 2019 Bayesian Generative Active Deep Learning Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro

NeurIPS 2017 A Bayesian Data Augmentation Approach for Learning Deep Models Toan Tran, Trung Pham, Gustavo Carneiro, Lyle Palmer, Ian Reid