Algorithms for abstention, calibration and domain adaptation to label shift.
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Nov 14, 2020 - Python
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label-shift
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A curated list of Robust Machine Learning papers/articles and recent advancements.
machine-learning deep-learning healthcare awesome-list ood fairness covariate-shift federated-learning machine-learning-bias fairness-testing bias-detection robust-machine-learning fairness-ai concept-shift fairness-ml robust-learning label-shift data-shift distribution-shift healthcare-federated-learning
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Oct 13, 2022
A curated list of Distribution Shift papers/articles and recent advancements.
data machine-learning machine-learning-algorithms ood fairness covariate-shift bias-detection robust-machine-learning concept-shift fairness-ml label-shift ood-detection data-shift distribution-shift
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Oct 20, 2022
LAMDA: Label Matching Deep Domain Adaptation - ICML 2021
optimal-transport domain-adaptation unsupervised-domain-adaptation wasserstein-distance label-shift domain-shift icml-2021
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Oct 28, 2021 - Python
"Mapping conditional distributions for domain adaptation under generalized target shift" - ICLR2022
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Feb 3, 2022 - Python
Bayesian Quantification with Black-Box Estimators
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Jun 13, 2024 - Python
(ACL 2026 Main) LLMSurgeon recovers the pretraining data mixture of any LLM from only its generated text — no weights, no training data. A calibrated domain classifier plus label-shift correction de-blurs biased predictions. Ships with LLMScan, a benchmark on 8 open-source LLMs.
data-provenance label-shift membership-inference large-language-models llm-analysis pretraining-data data-mixture acl2026
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Apr 22, 2026 - Python
Coping with Label Shift via Distributionally Robust Optimisation
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Nov 30, 2022 - Python
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