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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
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
NIPS 2024
Context Consistency between Training and Inference in Simultaneous Machine Translation
ACL 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
ACL 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NIPS 2024
ActiveDC: Distribution Calibration for Active Finetuning
CVPR 2024
Frequency Shuffling and Enhancement for Open Set Recognition
AAAI 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
AAAI 2024
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
NIPS 2023
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
ACL 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection
AAAI 2023
Reliable learning in challenging environments
NIPS 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective
ACL 2023
Are Sample-Efficient NLP Models More Robust?
ACL 2023
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
AAAI 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
ACL 2023
Characterizing and Measuring Linguistic Dataset Drift
ACL 2023
Covariate-Shift Generalization via Random Sample Weighting
AAAI 2023
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications
EMNLP 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
NIPS 2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
EMNLP 2023
Stable Learning via Sparse Variable Independence
AAAI 2023
Can Word Sense Distribution Detect Semantic Changes of Words?
EMNLP 2023
Certifiable Out-of-Distribution Generalization
AAAI 2023
Distribution-Free Statistical Dispersion Control for Societal Applications
NIPS 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
AAAI 2023
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