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Distribution Shift

190 directly classified papers

Papers per year

Papers

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024
LaSCal: Label-Shift Calibration without target labels NIPS 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
Learning to Reweight for Generalizable Graph Neural Network AAAI 2024
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection NIPS 2024
Rethinking Score Distillation as a Bridge Between Image Distributions NIPS 2024
AUC Maximization under Positive Distribution Shift NIPS 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation CVPR 2024
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? NAACL 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NIPS 2024
Credal Learning Theory NIPS 2024
Distance-aware Calibration for Pre-trained Language Models EMNLP 2024
Distribution Learning with Valid Outputs Beyond the Worst-Case NIPS 2024
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024
ActiveDC: Distribution Calibration for Active Finetuning CVPR 2024
On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024
Communication-Efficient Federated Group Distributionally Robust Optimization 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
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NIPS 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NIPS 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NIPS 2024