TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection
Out-of-distribution (OOD) robustness is difficult to diagnose when target-domain labels are unavailable. We consider a more restrictive source-only variant of unsupervised accuracy estimation: selecting robust checkpoints using only source-domain representations, with no target samples or target labels. We propose \textbf{TopoGeoScore}, a source-only geometric scorer for label-free OOD checkpoint selection. Given a trained checkpoint, we construct class-conditional mutual $k$-nearest-neighbour graphs from source embeddings and extract three interpretable signals: a torsion-inspired reduced Laplacian log-determinant for global class-manifold complexity, Ollivier--Ricci curvature for local ...
| Authors | Farid Hazratian, Ali Zia, Hien Duy Nguyen |
|---|---|
| Primary category | cs.LG |
| Published | 9 May 2026 |
| Last updated at source | 28 May 2026 |
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