conftrace_

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 a Unified Analysis of Kernel-based Methods Under Covariate Shift NIPS 2023
Double-Weighting for Covariate Shift Adaptation ICML 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time ICML 2023
Personalization for Robust Voice Pathology Detection in Sound Waves INTERSPEECH 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective ICCV 2023
NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NIPS 2023
Covariate-Shift Generalization via Random Sample Weighting AAAI 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift ICML 2023
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models JMLR 2023
CCIL: Context-conditioned imitation learning for urban driving RSS 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NIPS 2023
Statistical Learning under Heterogeneous Distribution Shift ICML 2023
Domain Generalised Faster R-CNN AAAI 2023
Model Transferability with Responsive Decision Subjects ICML 2023
Data Augmentation for Imbalanced Regression AISTATS 2023
Personalized Federated Learning under Mixture of Distributions ICML 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies AISTATS 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts ICCV 2023
Self-Supervised Test-Time Adaptation on Video Data WACV 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design NIPS 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022