A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis

no code implementations • 16 Dec 2023 • Jingyi Zhou, Jie zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Gui Tao, Qi Zhang, Xuanjing Huang

Few-shot text classification has attracted great interest in both academia and industry due to the lack of labeled data in many fields.

Contrastive Learning Few-Shot Text Classification +4

Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification

1 code implementation • 15 Jun 2023 • Jingyi Zhou, Jiamu Sheng, Jiayuan Fan, Peng Ye, Tong He, Bin Wang, Tao Chen

To address this issue, we propose a novel diffusion-based feature learning framework that explores Multi-Timestep Multi-Stage Diffusion features for HSI classification for the first time, called MTMSD.

Classification Hyperspectral Image Classification

Union-net: A deep neural network model adapted to small data sets

1 code implementation • 24 Dec 2020 • Jingyi Zhou, Qingfang He, Zhiying Lin

However, the deep neural network model has complex structure, huge model parameters, and training requires more advanced equipment, which brings certain difficulties to the application.