From internal representations to model improvement through prediction errors

arXiv:2609.35449 · cs.CV, cs.LG · Submitted 2026-09-28 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Comments: 27 pages, 5 figures, 2 tables. Supplementary Information is provided as an ancillary file

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Active Learning — 15× in this paper · explained in 6 episodes
• Calibration — 12× in this paper · explained in 7 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Data Augmentation — 3× in this paper · explained in 7 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Error Decomposition — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Toolbox for Identifying Detection Errors — 1× in this paper
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

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