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Distribution Shift

196 papers

Papers per year

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Papers

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time NIPS 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness NIPS 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation NIPS 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift NIPS 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers NIPS 2022
Learning Substructure Invariance for Out-of-Distribution Molecular Representations NIPS 2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NIPS 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling NIPS 2022
Network change point localisation under local differential privacy NIPS 2022
AutoML Two-Sample Test NIPS 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NIPS 2022
Unsupervised Learning under Latent Label Shift NIPS 2022
Cooperative Distribution Alignment via JSD Upper Bound NIPS 2022
Practical Adversarial Multivalid Conformal Prediction NIPS 2022
Adapting to Online Label Shift with Provable Guarantees NIPS 2022
Conformal Prediction with Temporal Quantile Adjustments NIPS 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition NIPS 2022
Anticipating Performativity by Predicting from Predictions NIPS 2022
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NIPS 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NIPS 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift NIPS 2022
MEMO: Test Time Robustness via Adaptation and Augmentation NIPS 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NIPS 2022
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation AAAI 2022