Technical note on: Zero-Training Feature-Space Alignment via Information Geometry

arXiv:2609.37302 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Adaptation — 34× in this paper · explained in 1 episode
• Alignment — 33× in this paper · explained in 1 episode
• Robustness — 30× in this paper · explained in 5 episodes
• Distribution Shift — 23× in this paper · explained in 5 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Covariate Shift — 18× in this paper · explained in 2 episodes
• Fisher Information — 13× in this paper · explained in 3 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Foundation Model — 6× in this paper · explained in 3 episodes
• Domain Adaptation — 5× in this paper · explained in 5 episodes
• Foundation Models — 5× in this paper · explained in 7 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Overview of Zero-Training Fisher Geometry Alignment — 1× in this paper
• Pseudo-labeling — 1× in this paper · explained in 3 episodes
• Test-time Adaptation (TTA) — 1× in this paper · explained in 3 episodes

Sources

• Layer Normalization
• Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
• Test-Time Model Adaptation with Only Forward Passes
• DINOv3
• Tent: Fully Test-time Adaptation by Entropy Minimization

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