Cuong V Nguyen

发表

Multi-task learning improves ancestral state reconstruction.

Vu C. Dinh, Lam Si Tung Ho, Vu Dinh, 2019, Theoretical population biology.

Accelerated Stochastic Mirror Descent Algorithms For Composite Non-strongly Convex Optimization

Cuong V Nguyen, Jiashi Feng, Huan Xu, 2016 .

PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors

Cuong V Nguyen, G. Carneiro, Thanh-Toan Do, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Variational Continual Learning pdf

Richard E. Turner, Thang D. Bui, Cuong V. Nguyen, 2017, ICLR.

Semi-Markov Conditional Random Field with High-Order Features

Wee Sun Lee, Cuong V Nguyen, 2011 .

Variational Continual Learning in Deep Models

Richard E. Turner, Cuong V Nguyen, Yingzhen Li, 2017 .

Variational Bayesian Inference : Algorithms for Sparse Gaussian Processes and Theoretical Bounds

Richard E. Turner, Cuong V Nguyen, Yingzhen Li, 2017 .

Instance-Dependent Noisy Label Learning via Graphical Modelling

Cuong V Nguyen, G. Carneiro, Thanh-Toan Do, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Multimodal Machine Learning for Credit Modeling

Cuong V Nguyen, Sanjiv Ranjan Das, X. Ragot, 2021, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization

Cuong V Nguyen, Jiashi Feng, L. Hien, 2019, Journal of Optimization Theory and Applications.

Task Weighting in Meta-learning with Trajectory Optimisation

Cuong V Nguyen, G. Carneiro, Thanh-Toan Do, 2023, ArXiv.

Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach

Cuong V Nguyen, G. Carneiro, Thanh-Toan Do, 2023, 2301.01405.

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization

Jiashi Feng, Huan Xu, Le Thi Khanh Hien, 2016, J. Optim. Theory Appl..

Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data

Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, 2013, ALT.

Transferability and Hardness of Supervised Classification Tasks

Tal Hassner, Cuong V. Nguyen, Anh T. Tran, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

LEEP: A New Measure to Evaluate Transferability of Learned Representations

Tal Hassner, Cedric Archambeau, Matthias Seeger, 2020, ICML.

Improving and Understanding Variational Continual Learning pdf

Richard E. Turner, Thang D. Bui, Cuong V. Nguyen, 2019, ArXiv.

Toward Understanding Catastrophic Forgetting in Continual Learning pdf

Stefano Soatto, Tal Hassner, Alessandro Achille, 2019, ArXiv.

Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields

Minh Le Nguyen, Binh T. Nguyen, Viet Cuong Nguyen, 2015, NEWS@ACL.

Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

Richard E. Turner, Cuong V Nguyen, T. Bui, 2022, ArXiv.

Partitioned Variational Inference: A unified framework encompassing federated and continual learning pdf

Richard E. Turner, Thang D. Bui, Cuong V. Nguyen, 2018, ArXiv.

Meta-analysis of Continual Learning

Stefano Soatto, Tal Hassner, Alessandro Achille, 2019 .

EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles

D. C. Hoang, Cuong V Nguyen, Amin Kharraz, 2023, ArXiv.

Streaming Sparse Gaussian Process Approximations

Richard E. Turner, Thang D. Bui, Cuong V. Nguyen, 2017, NIPS.

Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields

Binh T. Nguyen, Viet Cuong Nguyen, Quang Hong Pham, 2019, SoICT.

Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion

Nan Ye, Hai Leong Chieu, Wee Sun Lee, 2013, NIPS.

Near-optimal Adaptive Pool-based Active Learning with General Loss

Nan Ye, Wee Sun Lee, Viet Cuong Nguyen, 2014, UAI.

Bayesian Active Learning With Abstention Feedbacks pdf

Binh Nguyen, Binh T. Nguyen, Vu C. Dinh, 2019, Neurocomputing.

Conditional random field with high-order dependencies for sequence labeling and segmentation

Nan Ye, Hai Leong Chieu, Wee Sun Lee, 2014, J. Mach. Learn. Res..

Mel-frequency Cepstral Coefficients for Eye Movement Identification

Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Simple Transferability Estimation for Regression Tasks

Vu C. Dinh, Cuong V Nguyen, Tal Hassner, 2023, UAI.