Publications by year.

For the most up-to-date list, please refer to my Google Scholar.


  1. CVPR
    TIPI: Test Time Adaptation with Transformation Invariance
    A. Tuan NguyenThanh Nguyen-TangSer-Nam Lim, and Philip Torr
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


  1. NeurIPS
    FedSR: A Simple and Effective Domain Generalization Method for Federated Learning
    A. Tuan NguyenPhilip Torr, and Ser-Nam Lim
    Advances in Neural Information Processing Systems, 2022
  2. ICLR
    KL Guided Domain Adaptation
    A. Tuan Nguyen, Toan Tran, Yarin GalPhilip H. S. Torr, and Atılım Güneş Baydin
    International Conference on Learning Representations, 2022
  3. ICLR
    Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
    Thanh Nguyen-Tang, Sunil Gupta,  A. Tuan Nguyen, and Svetha Venkatesh
    International Conference on Learning Representations, 2022
  4. ICML
    Set Based Stochastic Subsampling
    Bruno Andreis, Seanie Lee,  A. Tuan Nguyen, Juho Lee, Eunho Yang, and Sung Ju Hwang
    International Conference on Machine Learning, 2022
  5. preprint
    Task-Agnostic Robust Representation Learning
    A. Tuan NguyenSer Nam Lim, and Philip Torr
    Under Review, 2022


  1. NeurIPS
    Domain Invariant Representation Learning with Domain Density Transformations
    A. Tuan Nguyen, Toan Tran, Yarin Gal, and Atılım Güneş Baydin
    Advances in Neural Information Processing Systems, 2021
  2. AAAI
    Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
    A. Tuan Nguyen, Hyewon Jeong, Eunho Yang, and Sung Ju Hwang
    Proceedings of the AAAI Conference on Artificial Intelligence, 2021
    Detection of Microsleep Events with a Behind-the-ear Wearable System
    Nhat Pham, Tuan Dinh, Taeho Kim, Zohreh Raghebi, Nam Bui, Hoang Truong,  A. Tuan Nguyen, Farnoush Banaei-Kashani, Ann Halbower, Thang N. Dinh, Vp Nguyen, and Tam Vu
    IEEE Transactions on Mobile Computing, 2021