Weak Labels Fail Across Time Even When Domain Transfer Works
A study of CRISPR experiments reveals supervision drift—where the labeling mechanism itself shifts—causes model collapse in temporal transfer despite strong in-domain performance.
Source: arxiv/cs.LG · Mehrdad Shoeibi, Elias Hossain, Ivan Garibay, Niloofar Yousefi · open original ↗
Weak supervision works within a domain but fails over time because the labeling mechanism itself drifts, not just the data distribution.
- — Supervision drift occurs when P(y|x,c) changes across contexts, distinct from standard covariate shift.
- — CRISPR-Cas13d transcriptomics benchmark shows in-domain weak-label learning achieves R² ≈ 0.36, Spearman ρ ≈ 0.44.
- — Cross-cell-line transfer partially succeeds (ρ ≈ 0.40) but temporal transfer collapses (R² = −0.15 to −0.32).
- — Feature-label associations remain stable across cell lines but shift sharply over time.
- — Feature stability diagnostics can flag non-transferability before deployment without retraining.
- — Strong in-domain metrics mask downstream failure risk under temporal distribution shift.
- — Externally recomputed labels and shift-score analysis confirm supervision drift, not model capacity limits.
Astrobobo tool mapping
- Knowledge Capture Document the labeling mechanism for each weak-supervision source (how are labels derived, what proxies are used, when was the mechanism last validated). Store as a structured inventory.
- Focus Brief Create a weekly drift-check brief: compute Spearman rank correlation of feature importances across rolling 30-day windows. Alert if ρ < 0.85.
- Reading Queue Queue papers on label stability, weak supervision robustness, and temporal domain adaptation to build deeper context on supervision drift patterns.
Frequently asked
- Supervision drift occurs when the relationship between features and labels—the labeling mechanism itself—changes across contexts, such as over time. Covariate shift refers only to changes in the feature distribution P(x). A model can handle covariate shift but fail under supervision drift because the target function P(y|x,c) is no longer stable, making historical labels unreliable guides for new data.
cite ▸
APA
Mehrdad Shoeibi, Elias Hossain, Ivan Garibay, Niloofar Yousefi. (2026, April 21). Weak Labels Fail Across Time Even When Domain Transfer Works. Astrobobo Content Engine (rewrite of arxiv/cs.LG). https://astrobobo-content-engine.vercel.app/article/weak-labels-fail-across-time-even-when-domain-transfer-works-26c6b7
MLA
Mehrdad Shoeibi, Elias Hossain, Ivan Garibay, Niloofar Yousefi. "Weak Labels Fail Across Time Even When Domain Transfer Works." Astrobobo Content Engine, 21 Apr 2026, https://astrobobo-content-engine.vercel.app/article/weak-labels-fail-across-time-even-when-domain-transfer-works-26c6b7. Based on "arxiv/cs.LG", https://arxiv.org/abs/2604.05002.
BibTeX
@misc{astrobobo_weak-labels-fail-across-time-even-when-domain-transfer-works-26c6b7_2026,
author = {Mehrdad Shoeibi, Elias Hossain, Ivan Garibay, Niloofar Yousefi},
title = {Weak Labels Fail Across Time Even When Domain Transfer Works},
year = {2026},
url = {https://astrobobo-content-engine.vercel.app/article/weak-labels-fail-across-time-even-when-domain-transfer-works-26c6b7},
note = {Astrobobo rewrite of arxiv/cs.LG, https://arxiv.org/abs/2604.05002},
}