| Variational Continual Learning CV Nguyen, Y Li, TD Bui, RE Turner International Conference on Learning Representations, 2018 | 457 | 2018 |
| Streaming sparse Gaussian process approximations TD Bui, C Nguyen, RE Turner Advances in Neural Information Processing Systems, 3299-3307, 2017 | 66 | 2017 |
| 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 15 (1), 981-1009, 2014 | 56 | 2014 |
| LEEP: A new measure to evaluate transferability of learned representations C Nguyen, T Hassner, M Seeger, C Archambeau International Conference on Machine Learning, 7294-7305, 2020 | 51 | 2020 |
| Transferability and hardness of supervised classification tasks AT Tran, CV Nguyen, T Hassner Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 49 | 2019 |
| Mel-frequency Cepstral Coefficients for Eye Movement Identification NV Cuong, V Dinh, LST Ho International Conference on Tools with Artificial Intelligence, 2012 | 48 | 2012 |
| 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, 1457-1465, 2013 | 43 | 2013 |
| Improving and understanding variational continual learning S Swaroop, CV Nguyen, TD Bui, RE Turner Continual Learning Workshop @ NeurIPS 2018, 2019 | 40 | 2019 |
| Meta-analysis of Continual Learning CV Nguyen, A Achille, M Lam, T Hassner, V Mahadevan, S Soatto Workshop on Meta-Learning @ NeurIPS 2019, 2019 | 37* | 2019 |
| 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 | 29 | 2018 |
| Near-optimal Adaptive Pool-based Active Learning with General Loss NV Cuong, WS Lee, N Ye Uncertainty in Artificial Intelligence (UAI), 2014 | 27 | 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, 1-26, 2019 | 25 | 2019 |
| 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 |
| Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs NV Cuong, MK Chandrasekaran, MY Kan, WS Lee Joint Conference on Digital Libraries, 2015 | 17 | 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 | 12 | 2015 |
| Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data NV Cuong, LST Ho, V Dinh International Conference on Algorithmic Learning Theory, 264-278, 2013 | 11 | 2013 |
| Adaptive maximization of pointwise submodular functions with budget constraint N Cuong, H Xu Advances in neural information processing systems 29, 2016 | 8 | 2016 |
| Punctuation prediction for Vietnamese texts using conditional random fields QH Pham, BT Nguyen, NV Cuong Proceedings of the Tenth International Symposium on Information and …, 2019 | 6 | 2019 |
| Online variational Bayesian inference: Algorithms for sparse Gaussian processes and theoretical bounds CV Nguyen, TD Bui, Y Li, RE Turner ICML 2017 Time Series Workshop, 2017 | 6 | 2017 |
| Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification NV Cuong, N Ye, WS Lee AAAI Conference on Artificial Intelligence, 2016 | 6 | 2016 |
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
