Cuong V. Nguyen
Cuong V. Nguyen
Amazon Web Services (AWS)
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Title
Cited by
Cited by
Year
Variational Continual Learning
CV Nguyen, Y Li, TD Bui, RE Turner
International Conference on Learning Representations, 2018
2242018
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
422014
Mel-frequency Cepstral Coefficients for Eye Movement Identification
NV Cuong, V Dinh, LST Ho
International Conference on Tools with Artificial Intelligence, 2012
412012
Streaming sparse Gaussian process approximations
TD Bui, C Nguyen, RE Turner
Advances in Neural Information Processing Systems, 3299-3307, 2017
362017
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
332013
Near-optimal Adaptive Pool-based Active Learning with General Loss
NV Cuong, WS Lee, N Ye
Uncertainty in Artificial Intelligence (UAI), 2014
232014
Meta-analysis of Continual Learning
CV Nguyen, A Achille, M Lam, T Hassner, V Mahadevan, S Soatto
Workshop on Meta-Learning @ NeurIPS 2019, 2019
18*2019
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
16*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
162011
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
Continual Learning Workshop @ NeurIPS 2018, 2019
152019
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
132015
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
112015
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
102018
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
92019
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
92013
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
52017
Adaptive maximization of pointwise submodular functions with budget constraint
N Cuong, H Xu
Advances in neural information processing systems, 1244-1252, 2016
52016
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
52015
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification
NV Cuong, N Ye, WS Lee
AAAI Conference on Artificial Intelligence, 2016
42016
LEEP: A New Measure to Evaluate Transferability of Learned Representations
CV Nguyen, T Hassner, C Archambeau, M Seeger
arXiv preprint arXiv:2002.12462, 2020
32020
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Articles 1–20