Here are some of the factors that can affect the price movements and crypto price forecast: The long-term perspective for the crypto industry is vastly positive. Experts believe that crypto can become ...

Abstract: Semi-supervised learning (SSL) models, which leverage both labeled and unlabeled ... This approach preserves essential regions crucial for wafer defect pattern classification and thus ...

A new technical paper titled “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification” was published by researchers at Korea University. “Semi-supervised learning ...

In this paper, we propose a novel method for semi-supervised semantic segmentation based on Multi-perspective pseudo-label Generation and Confidence-weighted Training (MGCT). First, we present a multi ...

If you find any work missing or have any suggestions (papers, implementations, and other resources), feel free to pull requests. We will add the missing papers to this repo as soon as possible. You ...

Arxiv'25) [09/01/2025] Training-free Heterogeneous Graph Condensation via Data Selection (Yuxuan Liang et al. ICDE'25) [27/11/2024] Contrastive Graph Condensation: Advancing Data Versatility through ...

Most of these classifiers are based on supervised learning (SL) that needs time- and cost-intensive manual labeling of samples by medical experts for model training. Semi-supervised learning (SSL), ...