conftrace_

data stream

65 papers

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Co-occurring keywords

online learning (1777) concept drift (73) approximation algorithm (630) frequency estimation (25) count-min sketch (12) semi-supervised learning (2341) streaming algorithm (131) data stream mining (8) ensemble learning (1274) continual learning (1181)

Papers

DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices AAAI 2026
RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network AAAI 2026
Early Concept Drift Detection via Prediction Uncertainty AAAI 2025
Recurrent Concept Drifts on Data Streams IJCAI 2024
Learning from Snapshots of Discrete and Continuous Data Streams NIPS 2024
Computationally Assisted Quality Control for Public Health Data Streams IJCAI 2023
Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023
Online Random Feature Forests for Learning in Varying Feature Spaces AAAI 2023
Improved Frequency Estimation Algorithms with and without Predictions NIPS 2023
Online k-means Clustering on Arbitrary Data Streams ALT 2023
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams EMNLP 2023
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023
Federated Learning for Data Streams AISTATS 2023
Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification IJCAI 2023
Coresets for Data Discretization and Sine Wave Fitting AISTATS 2022
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources ICML 2022
Efficient and Stable Fully Dynamic Facility Location NIPS 2022
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries CVPR 2022
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees ICML 2021
A Bayesian nonparametric approach to count-min sketch under power-law data streams AISTATS 2021
Vector Quantized Bayesian Neural Network Inference for Data Streams AAAI 2021
Wanderlust: Online Continual Object Detection in the Real World ICCV 2021
Oblivious Sketching for Logistic Regression ICML 2021
Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning ICCV 2021
A Clustering-based framework for Classifying Data Streams IJCAI 2021