Cuong V. Nguyen
Cuong V. Nguyen
Amazon Web Services (AWS)
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Variational Continual Learning
CV Nguyen, Y Li, TD Bui, RE Turner
International Conference on Learning Representations, 2018
1562018
Mel-frequency Cepstral Coefficients for Eye Movement Identification
NV Cuong, V Dinh, LST Ho
International Conference on Tools with Artificial Intelligence, 2012
382012
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation
NV Cuong, N Ye, WS Lee, HL Chieu
Journal of Machine Learning Research 15, 981-1009, 2014
342014
Streaming sparse Gaussian process approximations
TD Bui, C Nguyen, RE Turner
Advances in Neural Information Processing Systems, 3299-3307, 2017
292017
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
282013
Near-optimal Adaptive Pool-based Active Learning with General Loss
NV Cuong, WS Lee, N Ye
Uncertainty in Artificial Intelligence (UAI), 2014
192014
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
17*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
152011
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
122015
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
112018
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
Continual Learning Workshop @ NeurIPS 2018, 2019
92019
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
92015
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
82013
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
52019
Transferability and hardness of supervised classification tasks
AT Tran, CV Nguyen, T Hassner
Proceedings of the IEEE International Conference on Computer Vision, 1395-1405, 2019
52019
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification
NV Cuong, N Ye, WS Lee
AAAI Conference on Artificial Intelligence, 2016
42016
Adaptive maximization of pointwise submodular functions with budget constraint
N Cuong, H Xu
Advances in neural information processing systems, 1244-1252, 2016
42016
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
32017
Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields
QH Pham, ML Nguyen, BT Nguyen, NV Cuong
ACL-IJCNLP 2015 Named Entities Workshop, 2015
32015
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
22019
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Artiklar 1–20