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Distribution Shift

264 papers

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Papers

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024 Testable Learning with Distribution Shift COLT 2024 Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 Time-Varying Propensity Score to Bridge the Gap between the Past and Present ICLR 2024 Unified Entropy Optimization for Open-Set Test-Time Adaptation CVPR 2024 Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024 What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? NAACL 2024 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NeurIPS 2023 AGRO: Adversarial discovery of error-prone Groups for Robust Optimization ICLR 2023 A Learning Based Hypothesis Test for Harmful Covariate Shift ICLR 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy NeurIPS 2023 An Equivalence Analysis of Binary Quantification Methods AAAI 2023 Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents ACL 2023 Are Sample-Efficient NLP Models More Robust? ACL 2023 A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023 Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NeurIPS 2023 Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts ICLR 2023 Breaking Correlation Shift via Conditional Invariant Regularizer ICLR 2023 Can Word Sense Distribution Detect Semantic Changes of Words? EMNLP 2023 Certifiable Out-of-Distribution Generalization AAAI 2023 Characterizing and Measuring Linguistic Dataset Drift ACL 2023 CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NeurIPS 2023 Covariate-Shift Generalization via Random Sample Weighting AAAI 2023 Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes NeurIPS 2023 Deconstructing Distributions: A Pointwise Framework of Learning ICLR 2023