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distribution drift

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Co-occurring keywords · papers mentioning both

distribution shift (3) online learning (3) adaptive algorithm (2) stochastic process (2) domain adaptation (2) transfer learning (2) conformal prediction (2) active learning (2) time series analysis (2) vocabulary adaptation (1)

Papers

Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026 Ted-Tok: Maintaining an Evolving Vocabulary for Lifelong Learning ACL 2026 Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling ICML 2025 An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024 Conformalized Time Series with Semantic Features NeurIPS 2024 Non-Exchangeable Conformal Risk Control ICLR 2024 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NeurIPS 2024 Transfer Learning for Text Classification via Model Risk Analysis EMNLP 2024 An Adaptive Algorithm for Learning with Unknown Distribution Drift NeurIPS 2023 Generalized Belief Transport NeurIPS 2023 Nonparametric Density Estimation under Distribution Drift ICML 2023 Online Platt Scaling with Calibeating ICML 2023 Theory and Algorithm for Batch Distribution Drift Problems AISTATS 2023 MLDemon:Deployment Monitoring for Machine Learning Systems AISTATS 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022 Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? EMNLP 2022 Robust Online Matching with User Arrival Distribution Drift AAAI 2019 Domain Adaptation with Adversarial Training and Graph Embeddings ACL 2018 NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture SemEval 2017 Active Learning with a Drifting Distribution NeurIPS 2011