distribution shift

Towards Stable Test-time Adaptation in Dynamic Wild World ICLR 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NeurIPS 2023 Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification AAAI 2023 Uncovering Adversarial Risks of Test-Time Adaptation ICML 2023 Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts NeurIPS 2023 Understanding new tasks through the lens of training data via exponential tilting ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve Over ERM ICLR 2023 Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability ICML 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NeurIPS 2023 Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples ICCV 2023 Video Test-Time Adaptation for Action Recognition CVPR 2023 Weighted Policy Constraints for Offline Reinforcement Learning AAAI 2023 When Can We Track Significant Preference Shifts in Dueling Bandits? NeurIPS 2023 "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023 Why Is Public Pretraining Necessary for Private Model Training? ICML 2023 Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings UAI 2023 Adapting to Online Label Shift with Provable Guarantees NeurIPS 2022 Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning IJCAI 2022 A Fine-Grained Analysis on Distribution Shift ICLR 2022 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022 An Investigation of the (In)effectiveness of Counterfactually Augmented Data ACL 2022 AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection NeurIPS 2022 Assessing Combinational Generalization of Language Models in Biased Scenarios AACL 2022 AutoML Two-Sample Test NeurIPS 2022