most citedEnhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

10 citations · 11 across the 3 of their papers we have counts for

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cs.LG2025

Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining

Yingbin Liang, Lu Dai, Shuo Shi +3

Complex data mining has wide application value in many fields, especially in the feature extraction and classification tasks of unlabeled data. This paper proposes an algorithm bas…

cs.LG2024

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems

You Wu, Mengfang Sun, Hongye Zheng +3

This document presents an in-depth examination of stock market sentiment through the integration of Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU), enabling pr…

cs.LG2024★ 10 cited

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches

Yinqiu Feng, Aoran Shen, Jiacheng Hu +3

This paper presents an innovative approach to enhancing few-shot learning by integrating data augmentation with model fine-tuning in a framework designed to tackle the challenges p…