Reinforcement Learning-Guided Semi-Supervised Learning

no code implementations • 2 May 2024 • Marzi Heidari, Hanping Zhang, Yuhong Guo

In recent years, semi-supervised learning (SSL) has gained significant attention due to its ability to leverage both labeled and unlabeled data to improve model performance, especially when labeled data is scarce.

reinforcement-learning Reinforcement Learning (RL)

Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning

no code implementations • 17 Apr 2024 • Marzi Heidari, Hanping Zhang, Yuhong Guo

In this paper, we present a novel approach termed Prompt-Driven Feature Diffusion (PDFD) within a semi-supervised learning framework for Open World Semi-Supervised Learning (OW-SSL).

Open-World Semi-Supervised Learning Representation Learning

Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning

no code implementations • 6 Dec 2023 • Abdullah Alchihabi, Marzi Heidari, Yuhong Guo

Due to the availability of only a few labeled instances for the novel target prediction task and the significant domain shift between the well annotated source domain and the target domain, cross-domain few-shot learning (CDFSL) induces a very challenging adaptation problem.

cross-domain few-shot learning