distribution shift

On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022 On Distribution Shift in Learning-based Bug Detectors ICML 2022 Online Continual Adaptation with Active Self-Training AISTATS 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022 Optimal Representations for Covariate Shift ICLR 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks ICML 2022 Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022 Probable Domain Generalization via Quantile Risk Minimization NeurIPS 2022 Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022 Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP NeurIPS 2022 Regret Minimization with Performative Feedback ICML 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022 Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift ICLR 2022 Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering NeurIPS 2022 Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NeurIPS 2022 Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay AAAI 2022 Robust Calibration with Multi-domain Temperature Scaling NeurIPS 2022 Robust Cross-Modal Representation Learning With Progressive Self-Distillation CVPR 2022 Robust Fine-Tuning of Zero-Shot Models CVPR 2022 Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study EMNLP 2022 RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NeurIPS 2022 Searching for Optimal Subword Tokenization in Cross-domain NER IJCAI 2022 Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition NeurIPS 2022