NS-ATTENTION: Newton-Schulz Transformations of Attention Outputs in Vision Transformers

arXiv:2609.27735 · cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.LG

Submitted: 2026-09-23

Updated: 2026-09-25

Code: https://github.com/aanna0701/SPT_

Terminology

• Transformer — 20× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Aggregation — 5× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Transformer Models — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Regularization — 2× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes

Sources

• Talking-Heads Attention
• Orthogonal Self-Attention

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