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Visualization Results

📋 Table of Contents
  1. t-SNE Visualization
  2. UMAP Visualization

Below are examples of feature visualizations using t-SNE and UMAP on various semi-supervised regression methods. These visualizations are generated from the test data of the UTKFace dataset, with a setting of 250 labeled samples. Both 2D and 3D versions are provided.

✨ t-SNE Visualization ✨

Parameters:
Perplexity: 50   |   Learning Rate: "auto"   |   Initialization: PCA

Supervised t-SNE Supervised [3D] Π-Model t-SNE Π-Model [3D] MeanTeacher t-SNE MeanTeacher [3D]
CLSS t-SNE CLSS [3D] MixMatch t-SNE MixMatch [3D] RankUp t-SNE RankUp [3D]
RankUp + RDA t-SNE RankUp + RDA [3D] Fully-Supervised t-SNE Fully-Supervised [3D]

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✨ UMAP Visualization ✨

Parameters:
Neighbors: 50   |   Initialization: PCA

Supervised UMAP Supervised [3D] Π-Model UMAP Π-Model [3D] MeanTeacher UMAP MeanTeacher [3D]
CLSS UMAP CLSS [3D] MixMatch UMAP MixMatch [3D] RankUp UMAP RankUp [3D]
RankUp + RDA UMAP RankUp + RDA [3D] Fully-Supervised UMAP Fully-Supervised [3D]

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