George Alexandru Adam

3 papers · 2020–2022 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

MLHC (2) CVPR (1)

Top co-authors

Anna Goldenberg (3) Chun-Hao Kingsley Chang (2) Benjamin Haibe-Kains (2) Chun-Hao Chang (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Optimization & Theory (2) Deep Learning (1) Application Areas (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

causal inference (1) image classification (1) domain generalization (1) domain adaptation (1) data augmentation (1) machine learning (1) distribution shift (1) false positive rate (1) feedback loop (1) spurious correlation (1) invariant learning (1) model degradation (1) model update (1) causal feature (1) counterfactual generation (1) invariant feature (1) clinical practice (1) error amplification (1) model deterioration (1) healthcare ml (1)

Papers

Error Amplification When Updating Deployed Machine Learning Models MLHC 2022 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation MLHC 2020