STAMP: Predicting Out-of-Distribution Generalization without Target Data

arXiv:2609.32672 · cs.LG, cs.AI · Submitted 2026-09-26 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Accuracy — 37× in this paper · explained in 1 episode
• Benchmark — 21× in this paper · explained in 2 episodes
• Generalization — 16× in this paper · explained in 13 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Calibration — 9× in this paper · explained in 7 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Failure Modes — 6× in this paper · explained in 3 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Covariate Shift — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Distribution Shift — 4× in this paper · explained in 5 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Concept Drift — 3× in this paper · explained in 4 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Semantic Temporal Augmented Model Prediction — 2× in this paper
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Wasserstein Distance — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adversarial Examples — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection
• Representation Geometry as a Diagnostic for Out-of-Distribution Robustness

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