Nguyen, Cuong

6 publications

WACV 2023 Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

NeurIPS 2023 Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning Van Cuong Pham, Cuong Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

MLHC 2021 Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes

ICML 2020 LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong Nguyen, Tal Hassner, Matthias Seeger, Cedric Archambeau

WACV 2020 Uncertainty in Model-Agnostic Meta-Learning Using Variational Inference Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

NeurIPS 2017 Streaming Sparse Gaussian Process Approximations Thang D Bui, Cuong Nguyen, Richard E Turner