| Auxiliary local variables for improving regularization/prior approach in continual learning LN Van, NL Hai, H Pham, K Than Pacific-Asia conference on knowledge discovery and data mining, 16-28, 2022 | 9 | 2022 |
| Adaptive infinite dropout for noisy and sparse data streams H Nguyen, H Pham, S Nguyen, N Van Linh, K Than Machine Learning 111 (8), 3025-3060, 2022 | 6 | 2022 |
| Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? H Pham, TA Ta, S Liu, L Xiang, DL Dung, H Wen, L Tran-Thanh Thirty-seventh Conference on Neural Information Processing Systems 2023, 2023 | 2 | 2023 |
| Flatness-aware Sequential Learning Generates Resilient Backdoors H Pham, TA Ta, A Tran, KD Doan arXiv preprint arXiv:2407.14738, 2024 | | 2024 |
| Forget but Recall: Incremental Latent Rectification in Continual Learning ND Nguyen, HT Nguyen, A Li, H Pham, VA Nguyen, KD Doan arXiv preprint arXiv:2406.17381, 2024 | | 2024 |
| Pruning Deep Equilibrium Models H Pham, T Nguyen, TA Ta, DD Le, L Tran-Thanh ICML 2022 Workshop on Sparse Neural Networks, 2022 | | 2022 |
