CaliPPer: quantifying, predicting and improving AI model performance for binding prediction

arXiv:2606.07258 · cs.CE, cs.AI, cs.LG, q-bio.QM · Submitted 2026-06-05 · Read on arXiv

cs.CE, cs.AI, cs.LG, q-bio.QM

Submitted: 2026-06-05

Updated: 2026-06-05

Code: https://github.com/jianqingzheng/calipper

Terminology

• Calibration — 91× in this paper · explained in 7 episodes
• AUROC — 88× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Meta-learning — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Benchmarking — 4× in this paper · explained in 4 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Chinese Academy of Medical Science — 2× in this paper
• Computational Biology — 2× in this paper · explained in 2 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Parsimony — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes
• Adaptive Graph — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Alignment Scores — 1× in this paper · explained in 1 episode
• Clustering — 1× 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
• Error Decomposition — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Monte Carlo dropout — 1× in this paper · explained in 2 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

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