conftrace_

distribution drift

18 papers

Explore in graph

Co-occurring keywords

distribution shift (722) online learning (1777) adaptive algorithm (114) stochastic process (388) domain adaptation (4595) transfer learning (5449) active learning (1301) time series analysis (175) stream-based learning (5) minimax bounds (13)

Papers

Ted-Tok: Maintaining an Evolving Vocabulary for Lifelong Learning ACL 2026
Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
Transfer Learning for Text Classification via Model Risk Analysis EMNLP 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NIPS 2024
Conformalized Time Series with Semantic Features NIPS 2024
Generalized Belief Transport NIPS 2023
Theory and Algorithm for Batch Distribution Drift Problems AISTATS 2023
Online Platt Scaling with Calibeating ICML 2023
Nonparametric Density Estimation under Distribution Drift ICML 2023
An Adaptive Algorithm for Learning with Unknown Distribution Drift NIPS 2023
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022
MLDemon:Deployment Monitoring for Machine Learning Systems AISTATS 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 NIPS 2011