Viet Cuong Nguyen

According to our database1, Viet Cuong Nguyen authored at least 27 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 





Control Algorithms for UAVs: A Comprehensive Survey.
EAI Endorsed Trans. Indust. Netw. & Intellig. Syst., 2020

Wireless Power Transfer Near-field Technologies for Unmanned Aerial Vehicles (UAVs): A Review.
EAI Endorsed Trans. Indust. Netw. & Intellig. Syst., 2020

LEEP: A New Measure to Evaluate Transferability of Learned Representations.
CoRR, 2020

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization.
J. Optim. Theory Appl., 2019

Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks.
EAI Endorsed Trans. Indust. Netw. & Intellig. Syst., 2019

Toward Understanding Catastrophic Forgetting in Continual Learning.
CoRR, 2019

Bayesian Active Learning With Abstention Feedbacks.
CoRR, 2019

Improving and Understanding Variational Continual Learning.
CoRR, 2019

Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Transferability and Hardness of Supervised Classification Tasks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Partitioned Variational Inference: A unified framework encompassing federated and continual learning.
CoRR, 2018

Variational Continual Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Bayesian Pool-based Active Learning with Abstention Feedbacks.
CoRR, 2017

Streaming Sparse Gaussian Process Approximations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Maximize Pointwise Cost-sensitively Submodular Functions With Budget Constraint.
CoRR, 2016

Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers.
Proceedings of the Theory and Applications of Models of Computation, 2015

Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs.
Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries, 2015

Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields.
Proceedings of the Fifth Named Entity Workshop, 2015

Conditional random field with high-order dependencies for sequence labeling and segmentation.
J. Mach. Learn. Res., 2014

Near-optimal Adaptive Pool-based Active Learning with General Loss.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Mel-frequency Cepstral Coefficients for Eye Movement Identification.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Learning to Generate a Table-of-Contents with Supportive Knowledge.
IEICE Trans. Inf. Syst., 2011

Improving Text Segmentation with Non-systematic Semantic Relation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011

A Semi-supervised Approach for Generating a Table-of-Contents.
Proceedings of the Recent Advances in Natural Language Processing, 2009