| Variational continual learning CV Nguyen, Y Li, TD Bui, RE Turner International Conference on Learning Representations, 2018 | 834 | 2018 |
| LEEP: A new measure to evaluate transferability of learned representations C Nguyen, T Hassner, M Seeger, C Archambeau International Conference on Machine Learning, 2020 | 236 | 2020 |
| Transferability and hardness of supervised classification tasks AT Tran, CV Nguyen, T Hassner IEEE/CVF International Conference on Computer Vision, 2019 | 187 | 2019 |
| Streaming sparse Gaussian process approximations TD Bui, C Nguyen, RE Turner Advances in Neural Information Processing Systems, 2017 | 134 | 2017 |
| Toward understanding catastrophic forgetting in continual learning CV Nguyen, A Achille, M Lam, T Hassner, V Mahadevan, S Soatto arXiv preprint arXiv:1908.01091, 2019 | 97 | 2019 |
| Conditional random field with high-order dependencies for sequence labeling and segmentation NV Cuong, N Ye, WS Lee, HL Chieu The Journal of Machine Learning Research, 2014 | 67 | 2014 |
| Partitioned variational inference: A unified framework encompassing federated and continual learning TD Bui, CV Nguyen, S Swaroop, RE Turner arXiv preprint arXiv:1811.11206, 2018 | 66 | 2018 |
| Mel-frequency cepstral coefficients for eye movement identification NV Cuong, V Dinh, LST Ho International Conference on Tools with Artificial Intelligence, 2012 | 66 | 2012 |
| Improving and understanding variational continual learning S Swaroop, CV Nguyen, TD Bui, RE Turner Continual Learning Workshop @ NeurIPS 2018, 2019 | 62 | 2019 |
| Active learning for probabilistic hypotheses using the maximum Gibbs error criterion NV Cuong, WS Lee, N Ye, KMA Chai, HL Chieu Advances in Neural Information Processing Systems, 2013 | 50 | 2013 |
| Near-optimal adaptive pool-based active learning with general loss NV Cuong, WS Lee, N Ye Uncertainty in Artificial Intelligence, 2014 | 32 | 2014 |
| Accelerated randomized mirror descent algorithms for composite non-strongly convex optimization LTK Hien, CV Nguyen, H Xu, C Lu, J Feng Journal of Optimization Theory and Applications, 2019 | 28 | 2019 |
| Scholarly document information extraction using extensible features for efficient higher order semi-CRFs NV Cuong, MK Chandrasekaran, MY Kan, WS Lee ACM/IEEE-CS Joint Conference on Digital Libraries, 2015 | 20 | 2015 |
| Learning from non-iid data: Fast rates for the one-vs-all multiclass plug-in classifiers V Dinh, LST Ho, NV Cuong, D Nguyen, BT Nguyen Conference on Theory and Applications of Models of Computation, 2015 | 18 | 2015 |
| Semi-Markov conditional random field with high-order features VC Nguyen, N Ye, WS Lee, HL Chieu ICML Workshop on Structured Sparsity: Learning and Inference, 2011 | 18 | 2011 |
| Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data NV Cuong, LST Ho, V Dinh Algorithmic Learning Theory, 2013 | 12 | 2013 |
| Partitioned variational inference: A framework for probabilistic federated learning M Ashman, TD Bui, CV Nguyen, S Markou, A Weller, S Swaroop, ... arXiv preprint arXiv:2202.12275, 2022 | 11 | 2022 |
| Punctuation prediction for Vietnamese texts using conditional random fields QH Pham, BT Nguyen, NV Cuong International Symposium on Information and Communication Technology, 2019 | 10 | 2019 |
| Robustness of Bayesian pool-based active learning against prior misspecification NV Cuong, N Ye, WS Lee AAAI Conference on Artificial Intelligence, 2016 | 10 | 2016 |
| Multi-task learning improves ancestral state reconstruction LST Ho, V Dinh, CV Nguyen Theoretical Population Biology, 2019 | 9 | 2019 |
Richard E TurnerProfessor, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
