distribution shift

Auxiliary Losses for Learning Generalizable Concept-based Models NeurIPS 2023 A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023 Balanced Product of Calibrated Experts for Long-Tailed Recognition CVPR 2023 Bayesian Prompt Learning for Image-Language Model Generalization ICCV 2023 Benchmarking Distribution Shift in Tabular Data with TableShift NeurIPS 2023 Benchmarking Low-Shot Robustness to Natural Distribution Shifts ICCV 2023 Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NeurIPS 2023 Better Practices for Domain Adaptation AutoML 2023 Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering EMNLP 2023 Beyond calibration: estimating the grouping loss of modern neural networks ICLR 2023 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NeurIPS 2023 Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NeurIPS 2023 Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023 Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection UAI 2023 Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts ICLR 2023 BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning CVPR 2023 Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation EMNLP 2023 CAME: Contrastive Automated Model Evaluation ICCV 2023 Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data NeurIPS 2023 Causal information splitting: Engineering proxy features for robustness to distribution shifts UAI 2023 Causal Strategic Classification: A Tale of Two Shifts ICML 2023 CBA: Improving Online Continual Learning via Continual Bias Adaptor ICCV 2023 Certifiable Out-of-Distribution Generalization AAAI 2023 Characterizing and Measuring Linguistic Dataset Drift ACL 2023 Characterizing Out-of-Distribution Error via Optimal Transport NeurIPS 2023