publications

(*) denotes equal contribution.

2023

  1. Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
    Hoang Pham, The-Anh Ta, Shiwei Liu, and 4 more authors
    In Advances in Neural Information Processing Systems 2023

2022

  1. Adaptive infinite dropout for noisy and sparse data streams
    Ha Nguyen*, Hoang Pham*, Son Nguyen, and 2 more authors
    Machine Learning 2022
  2. Pruning Deep Equilibrium Models
    Hoang Pham*, Tuc Nguyen*, Anh Ta-The, and 2 more authors
    ICML 2022 Workshop on Sparse Neural Networks 2022
  3. Auxiliary local variables for improving regularization/prior approach in continual learning
    Linh Ngo Van*, Nam Le Hai*, Hoang Pham*, and 1 more author
    In Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022