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Cuong V. Nguyen
Cuong V. Nguyen
在 fiu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Variational Continual Learning
CV Nguyen, Y Li, TD Bui, RE Turner
International Conference on Learning Representations, 2018
5072018
Streaming sparse Gaussian process approximations
TD Bui, C Nguyen, RE Turner
Advances in Neural Information Processing Systems, 3299-3307, 2017
722017
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
712020
Transferability and hardness of supervised classification tasks
AT Tran, CV Nguyen, T Hassner
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
662019
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
592014
Mel-frequency Cepstral Coefficients for Eye Movement Identification
NV Cuong, V Dinh, LST Ho
International Conference on Tools with Artificial Intelligence, 2012
492012
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
Continual Learning Workshop @ NeurIPS 2018, 2019
442019
Meta-analysis of Continual Learning
CV Nguyen, A Achille, M Lam, T Hassner, V Mahadevan, S Soatto
Workshop on Meta-Learning @ NeurIPS 2019, 2019
44*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, 1457-1465, 2013
432013
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
352018
Near-optimal Adaptive Pool-based Active Learning with General Loss
NV Cuong, WS Lee, N Ye
Uncertainty in Artificial Intelligence (UAI), 2014
282014
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
252019
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
182011
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
172015
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
142015
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
112013
Adaptive maximization of pointwise submodular functions with budget constraint
N Cuong, H Xu
Advances in neural information processing systems 29, 2016
82016
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
72019
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
72015
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
62017
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