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20112026
most citedSupervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

325 citations

Showing cs.LGShow all

7 papers · 1 filter

cs.LG2025★ 12 cited

MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +2

The rising aging population has increased the importance of fall detection (FD) systems as an assistive technology, where deep learning techniques are widely applied to enhance acc…

cs.LG2023★ 13 cited

Self-supervised learning-based general laboratory progress pretrained model for cardiovascular event detection

Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng +4

The inherent nature of patient data poses several challenges. Prevalent cases amass substantial longitudinal data owing to their patient volume and consistent follow-ups, however,…

cs.LG2023★ 10 cited

On Reinforcement Learning for the Game of 2048

Hung Guei

2048 is a single-player stochastic puzzle game. This intriguing and addictive game has been popular worldwide and has attracted researchers to develop game-playing programs. Due to…

cs.LG2021★ 7 cited

Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks

Li-Chin Chen, Ji-Tian Sheu, Yuh-Jue Chuang +1

Objective: Improving geographical access remains a key issue in determining the sufficiency of regional medical resources during health policy design. However, patient choices can…

cs.LG2021★ 14 cited

Relative Positional Encoding for Transformers with Linear Complexity

Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu +3

Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity. In the meantime, relative positional encoding (RPE) was pro…

cs.LG2020

Unsupervised neural adaptation model based on optimal transport for spoken language identification

Xugang Lu, Peng Shen, Yu Tsao +1

Due to the mismatch of statistical distributions of acoustic speech between training and testing sets, the performance of spoken language identification (SLID) could be drastically…