Cuong C. Nguyen

Learning to Defer on Anonymously Annotated Data

Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach

Fatigue-Aware Learning to Defer via Constrained Optimisation

Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning

Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models

Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models

Rethinking Output Alignment for 1-bit Post-Training Quantization of Large Language Models

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution