Evaluating Hierarchy-Aware Deep Learning for the Recognition of Tironian Notes

arXiv:2609.35277 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Clustering — 34× in this paper · explained in 2 episodes
• Fine-Tuning — 30× in this paper · explained in 5 episodes
• Accuracy — 28× in this paper · explained in 1 episode
• Adaptation — 18× in this paper · explained in 1 episode
• Transformer — 7× in this paper · explained in 2 episodes
• Hierarchical Classification — 5× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Domain Shift — 2× in this paper · explained in 4 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• SGDR: Stochastic Gradient Descent with Warm Restarts
• Decoupled Weight Decay Regularization
• Mixed Precision Training
• Modern hierarchical, agglomerative clustering algorithms
• B-CNN: Branch Convolutional Neural Network for Hierarchical Classification

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