Cuong V. Nguyen
Cuong V. Nguyen
Подтвержден адрес электронной почты в домене durham.ac.uk - Главная страница
Variational continual learning
CV Nguyen, Y Li, TD Bui, RE Turner
International Conference on Learning Representations, 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
Transferability and hardness of supervised classification tasks
AT Tran, CV Nguyen, T Hassner
IEEE/CVF International Conference on Computer Vision, 2019
Streaming sparse Gaussian process approximations
TD Bui, C Nguyen, RE Turner
Advances in Neural Information Processing Systems, 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
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
Mel-frequency cepstral coefficients for eye movement identification
NV Cuong, V Dinh, LST Ho
International Conference on Tools with Artificial Intelligence, 2012
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
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
Continual Learning Workshop @ NeurIPS 2018, 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
Near-optimal adaptive pool-based active learning with general loss
NV Cuong, WS Lee, N Ye
Uncertainty in Artificial Intelligence, 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
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
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
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
Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data
NV Cuong, LST Ho, V Dinh
Algorithmic Learning Theory, 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
Punctuation prediction for Vietnamese texts using conditional random fields
QH Pham, BT Nguyen, NV Cuong
International Symposium on Information and Communication Technology, 2019
Robustness of Bayesian pool-based active learning against prior misspecification
NV Cuong, N Ye, WS Lee
AAAI Conference on Artificial Intelligence, 2016
Adaptive maximization of pointwise submodular functions with budget constraint
N Cuong, H Xu
Advances in Neural Information Processing Systems, 2016
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