3 papers
cs.LG2024
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
Cuong Pham, Cuong C. Nguyen, Trung Le +3
Bayesian Neural Networks (BNNs) offer probability distributions for model parameters, enabling uncertainty quantification in predictions. However, they often underperform compared…
cs.CV2023
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild
Yifeng Huang, Duc Duy Nguyen, Lam Nguyen +2
This paper addresses the task of counting human actions of interest using sensor data from wearable devices. We propose a novel exemplar-based framework, allowing users to provide…
cs.LG2023
Federated Few-shot Learning for Cough Classification with Edge Devices
Ngan Dao Hoang, Dat Tran-Anh, Manh Luong +2
Automatically classifying cough sounds is one of the most critical tasks for the diagnosis and treatment of respiratory diseases. However, collecting a huge amount of labeled cough…