distribution shift

Sequential Covariate Shift Detection Using Classifier Two-Sample Tests ICML 2022 Single Model Uncertainty Estimation via Stochastic Data Centering NeurIPS 2022 Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses ICML 2022 Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing ICML 2022 Test-Time Training with Masked Autoencoders NeurIPS 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022 The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error ACL 2022 The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization CVPR 2022 The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 Toward learning human-aligned cross-domain robust models by countering misaligned features UAI 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NeurIPS 2022 Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022 Tracking Most Significant Arm Switches in Bandits COLT 2022 Tracking the risk of a deployed model and detecting harmful distribution shifts ICLR 2022 Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022 Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NeurIPS 2022 Underspecification Presents Challenges for Credibility in Modern Machine Learning JMLR 2022 Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation NeurIPS 2022 Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond ICML 2022 Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective NeurIPS 2022 Understanding Robust Generalization in Learning Regular Languages ICML 2022 Unsupervised Learning of Debiased Representations With Pseudo-Attributes CVPR 2022 Unsupervised Learning under Latent Label Shift NeurIPS 2022 Unsupervised training data re-weighting for natural language understanding with local distribution approximation EMNLP 2022