Distribution Shift

Learning with Interactive Models over Decision-Dependent Distributions ACML 2022 MEMO: Test Time Robustness via Adaptation and Augmentation NeurIPS 2022 Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness NeurIPS 2022 Network change point localisation under local differential privacy NeurIPS 2022 Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch AAAI 2022 On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022 On Distribution Shift in Learning-based Bug Detectors ICML 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 Practical Adversarial Multivalid Conformal Prediction NeurIPS 2022 Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022 Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study EMNLP 2022 Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NeurIPS 2022 State Deviation Correction for Offline Reinforcement Learning AAAI 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? EMNLP 2022 Tracking Most Significant Arm Switches in Bandits COLT 2022 Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NeurIPS 2022 Unsupervised Learning under Latent Label Shift NeurIPS 2022 Unsupervised training data re-weighting for natural language understanding with local distribution approximation EMNLP 2022 Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time NeurIPS 2022 Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021 An Information-theoretic Approach to Distribution Shifts NeurIPS 2021