concept shift

Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation AISTATS 2025 Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models ICML 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025 WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales ICML 2025 Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NeurIPS 2024 FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering ICML 2024 Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation ICLR 2024 Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift ICML 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions AAAI 2023 Personalized Federated Learning under Mixture of Distributions ICML 2023 Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder ICML 2022 GOOD: A Graph Out-of-Distribution Benchmark NeurIPS 2022