distribution shift

Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks ECCV 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition NeurIPS 2024 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating ACL 2024 Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees AAAI 2024 Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024 Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection AISTATS 2024 Conformal Risk Control ICLR 2024 Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024 CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024 DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024 DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval ACL 2024 Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024 DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024 Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NeurIPS 2024 Decision-Focused Evaluation of Worst-Case Distribution Shift UAI 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024 Deep Neural Networks Tend To Extrapolate Predictably ICLR 2024 Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024 DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts ICML 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024