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Distribution Shift
190 directly classified papers
Papers per year
2006: 2
2007: 1
2010: 1
2011: 2
2012: 1
2013: 1
2014: 1
2015: 1
2016: 1
2017: 3
2018: 1
2019: 13
2020: 11
2021: 19
2022: 41
2023: 34
2024: 39
2025: 18
Papers
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
NIPS 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
NIPS 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
NIPS 2023
Distribution-Free Statistical Dispersion Control for Societal Applications
NIPS 2023
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
EMNLP 2023
TIPI: Test Time Adaptation With Transformation Invariance
CVPR 2023
Characterizing and Measuring Linguistic Dataset Drift
ACL 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
ACL 2023
Are Sample-Efficient NLP Models More Robust?
ACL 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective
ACL 2023
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
ACL 2023
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation
CVPR 2023
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
CVPR 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
NIPS 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
NIPS 2023
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models
CVPR 2023
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics
ACL 2022
Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study
EMNLP 2022
On Distribution Shift in Learning-based Bug Detectors
ICML 2022
Describing Differences between Text Distributions with Natural Language
ICML 2022
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression
AAAI 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
AAAI 2022
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch
AAAI 2022
State Deviation Correction for Offline Reinforcement Learning
AAAI 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection
AAAI 2022
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