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covariate shift

157 papers

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Co-occurring keywords

domain adaptation (4595) distribution shift (722) domain generalization (1522) causal inference (1630) transfer learning (5449) out-of-distribution detection (617) importance weighting (59) uncertainty quantification (1393) semi-supervised learning (2341) density ratio estimation (48)

Papers

Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces AAAI 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
Outcome Assumptions and Duality Theory for Balancing Weights AISTATS 2022
Self-Supervised Test-Time Adaptation on Video Data WACV 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design NIPS 2022
GOOD: A Graph Out-of-Distribution Benchmark NIPS 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift NIPS 2022
Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches IJCNLP 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022
Tackling covariate shift with node-based Bayesian neural networks ICML 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift NIPS 2022
Domain Adaptation meets Individual Fairness. And they get along. NIPS 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift NIPS 2022
Robust Imitation of a Few Demonstrations with a Backwards Model NIPS 2022
Designing Transportable Experiments Under S-admissability AISTATS 2021
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift EACL 2021
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage NIPS 2021
We Need To Talk About Random Splits EACL 2021
Metadata Normalization CVPR 2021
Examining and Combating Spurious Features under Distribution Shift ICML 2021
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation CORL 2021
Bayesian Adaptation for Covariate Shift NIPS 2021
Near-Optimal Linear Regression under Distribution Shift ICML 2021
Robust Fairness Under Covariate Shift AAAI 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021