Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation

arXiv:2609.20700 · cs.CV · Submitted 2026-09-17 · Read on arXiv

cs.CV

Submitted: 2026-09-17

Updated: 2026-09-17

Terminology

• Benchmark — 75× in this paper · explained in 2 episodes
• Adaptation — 60× in this paper · explained in 1 episode
• Calibration — 48× in this paper · explained in 7 episodes
• Accuracy — 23× in this paper · explained in 1 episode
• nnU-Net — 21× in this paper · explained in 2 episodes
• Alignment — 11× in this paper · explained in 1 episode
• Transformer — 11× in this paper · explained in 2 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Verification — 9× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Adam — 6× in this paper · explained in 2 episodes
• Abstention — 4× in this paper · explained in 1 episode
• Provenance — 4× in this paper · explained in 3 episodes
• Computer Vision and Pattern Recognition — 3× in this paper
• Distribution Shift — 3× in this paper · explained in 5 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 3× in this paper
• In International Conference on Machine Learning — 2× in this paper
• Regret — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Test-time Adaptation (TTA) — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Dynamic Adaptation — 1× in this paper · explained in 2 episodes
• Fisher Information — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Medical Image Computing and Computer Assisted Intervention — 1× in this paper
• Meta-learning — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Adaptive Computation Time for Recurrent Neural Networks

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