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Distribution Shift

190 directly classified papers

Papers per year

Papers

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025
Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025
Early Concept Drift Detection via Prediction Uncertainty AAAI 2025
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval AAAI 2025
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation ACL 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection AAAI 2025
Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models ACL 2025
Fully Test-time Adaptation for Tabular Data AAAI 2025
Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025
A Layer Selection Approach to Test Time Adaptation AAAI 2025
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation AAAI 2025
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024
Frequency Shuffling and Enhancement for Open Set Recognition AAAI 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? NAACL 2024
Learning to Reweight for Generalizable Graph Neural Network AAAI 2024