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cs.LG2025
Rethinking the Potential of Layer Freezing for Efficient DNN Training
Chence Yang, Ci Zhang, Lei Lu +11
With the growing size of deep neural networks and datasets, the computational costs of training have significantly increased. The layer-freezing technique has recently attracted gr…
cs.LG2025
Multimodal Cardiovascular Risk Profiling Using Self-Supervised Learning of Polysomnography
Zhengxiao He, Huayu Li, Geng Yuan +4
Methods: We developed a self-supervised deep learning model that extracts meaningful patterns from multi-modal signals (Electroencephalography (EEG), Electrocardiography (ECG), and…
cs.LG2023
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen +2
Medical time series data are indispensable in healthcare, providing critical insights for disease diagnosis, treatment planning, and patient management. The exponential growth in d…