Nguyen, Cuong C.

5 publications

ICLR 2026 Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models Cuong Pham, Dung Anh Hoang, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

TMLR 2025 Maximising the Utility of Validation Sets for Imbalanced Noisy-Label Meta-Learning Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro

ICLR 2025 Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

TMLR 2023 Task Weighting in Meta-Learning with Trajectory Optimisation Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

UAI 2021 Probabilistic Task Modelling for Meta-Learning Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro