Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You

arXiv:2609.00374 · cs.LG, cs.AI, cs.CV · Submitted 2026-08-31 · Read on arXiv

cs.LG, cs.AI, cs.CV

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/salimkhazem/Caster

Terminology

• Adaptation — 45× in this paper · explained in 1 episode
• Accuracy — 7× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Frozen model — 4× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Test-time Adaptation (TTA) — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
• PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification

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