Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platforms

no code implementations • 18 Nov 2024 • Haizhou Ge, Ruixiang Wang, Zhu-ang Xu, Hongrui Zhu, Ruichen Deng, Yuhang Dong, Zeyu Pang, Guyue Zhou, Junyu Zhang, Lu Shi

Advanced imitation learning with structures like the transformer is increasingly demonstrating its advantages in robotics.

Imitation Learning Model Compression

Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection

no code implementations • 28 Mar 2024 • Hao Shen, Lu Shi, Wanru Xu, Yigang Cen, Linna Zhang, Gaoyun An

To mitigate memory consumption, we convert the order information prediction task into a multi-label learning problem, and the inter-patch similarity prediction task into a distance matrix regression problem.

Anomaly Detection Multi-Label Learning +4

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology

no code implementations • 16 Jun 2023 • Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu

In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT which can conduct data collection, processing, and analysis about complex health narratives of Alzheimer's Disease in an autonomous manner via users' textual prompts.

Language Modelling Large Language Model