5 papers
People-Centred Medical Image Analysis via Fairness-Aware Human-AI Cooperation
Zheng Zhang, Milad Masroor, Cuong Nguyen +6
Machine learning models for medical image analysis often exhibit subgroup-dependent performance, which impacts how decisions should be allocated between automated systems and human…
Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models
Dung Anh Hoang, Cuong Pham, Cuong Nguyen +3
Large Language Models (LLMs) deliver strong performance across a wide range of NLP tasks, but their massive sizes hinder deployment on resource-constrained devices. To reduce their…
Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen +4
Large language models require significant computational resources for deployment, making quantization essential for practical applications. However, the main obstacle to effective…
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen +3
Large language models (LLMs) have significantly advanced natural language processing, but their massive parameter counts create substantial computational and memory challenges duri…
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
Learning from noisy labels (LNL) is crucial in deep learning, in which one of the approaches is to identify clean-label samples from poorly-annotated datasets. Such an identificati…