Learning under Concept Drift: A Review

13 April 2020

Papers citing "Learning under Concept Drift: A Review"

50 / 340 papers shown

Title
Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy Lorena Poenaru-Olaru June Sallou Luís Cruz Jan S. Rellermeyer Arie van Deursen 17 0 0 16 Jun 2025
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting Shaoyuan Huang Tiancheng Zhang Zhongtian Zhang Xiaofei Wang Lanjun Wang Xin Wang AI4TS 5 0 0 15 Jun 2025
Feature Shift Localization Network Míriam Barrabés D. M. Montserrat Kapal Dev A. Ioannidis OOD 42 0 0 10 Jun 2025
Flexible and Efficient Drift Detection without Labels Nelvin Tan Yu-Ching Shih Dong Yang Amol Salunkhe 25 0 0 10 Jun 2025
Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Songqiao Hu Zeyi Liu Xiao He 10 0 0 09 Jun 2025
Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting Junpeng Lin Tian-Shing Lan Bo Zhang Ke Lin Dandan Miao Huiru He Jiantao Ye Chen Zhang Yan-fu Li AI4TS 47 0 0 06 Jun 2025
Generalized Incremental Learning under Concept Drift across Evolving Data Streams En Yu Jie Lu G. Zhang CLL 60 0 0 06 Jun 2025
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget Adam Piaseczny Md Kamran Chowdhury Shisher Shiqiang Wang Christopher G. Brinton 28 0 0 30 May 2025
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors Haodong Lu Xinyu Zhang Kristen Moore Jason Xue Lina Yao Anton van den Hengel Dong Gong CLL VLM 50 0 0 27 May 2025
Evolving Machine Learning: A Survey Ignacio Cabrera Martin Subhaditya Mukherjee Almas Baimagambetov Joaquin Vanschoren Nikolaos Polatidis VLM 251 0 0 23 May 2025
Learning Robust Spectral Dynamics for Temporal Domain Generalization En Yu Jie Lu Xiaoyu Yang G. Zhang Zhen Fang OOD 87 1 0 19 May 2025
A Representation Learning Approach to Feature Drift Detection in Wireless Networks Athanasios Tziouvaras Blaž Bertalanič George Floros Kostas Kolomvatsos Panagiotis Sarigiannidis Carolina Fortuna 48 0 0 15 May 2025
Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing Jacob Glenn Ayers Buvaneswari A. Ramanan Manzoor A. Khan 58 0 0 07 May 2025
Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs Gang Mao Tousif Rahman Sidharth Maheshwari Bob Pattison Zhuang Shao Rishad Shafik Alex Yakovlev 73 0 0 28 Apr 2025
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams Maria Arostegi Miren Nekane Bilbao J. Lobo Javier Del Ser 69 0 0 08 Apr 2025
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks Kleanthis Malialis S. Filippou C. Panayiotou Marios M. Polycarpou AI4TS 63 0 0 06 Apr 2025
Haphazard Inputs as Images in Online Learning Rohit Agarwal Aryan Dessai A. Sekh Krishna Agarwal Alexander Horsch D. Prasad OOD 77 0 0 03 Apr 2025
Mixed-feature Logistic Regression Robust to Distribution Shifts Qingshi Sun Nathan Justin A. Gómez P. Vayanos OOD 68 0 0 15 Mar 2025
Interpretable Model Drift Detection Pranoy Panda Kancheti Sai Srinivas V. Balasubramanian Gaurav Sinha 212 1 0 09 Mar 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization Md Yousuf Harun Christopher Kanan AI4CE 93 0 0 09 Mar 2025
phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors Juniper Tyree Andreas Rupp Petri S. Clusius Michael Boy OODD 94 0 0 07 Mar 2025
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability O. Mokryn Teddy Lazebnik Hagit Ben-Shoshan AI4TS 85 0 0 06 Mar 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 151 9 0 28 Feb 2025
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks Li Yang Shimaa A. Naser Abdallah Shami Sami Muhaidat Lyndon Ong Merouane Debbah 105 2 0 28 Feb 2025
AutoML for Multi-Class Anomaly Compensation of Sensor Drift Melanie Schaller Mathis Kruse Antonio Ortega Marius Lindauer Bodo Rosenhahn 83 1 0 26 Feb 2025
Runtime Tunable Tsetlin Machines for Edge Inference on eFPGAs Tousif Rahman Gang Mao Bob Pattison Sidharth Maheshwari Marcos Sartori A. Wheeldon Rishad Shafik Alex Yakovlev 70 0 0 10 Feb 2025
METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift J. Ying Tiantian Zhu Aohan Zheng Tieming Chen Mingqi Lv Yan Chen 76 0 0 03 Jan 2025
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection Xinchen Zhang Running Zhao Zhihan Jiang Handi Chen Yulong Ding Edith C.H. Ngai Shuang-Hua Yang AAML 226 0 0 20 Dec 2024
Early Concept Drift Detection via Prediction Uncertainty Pengqian Lu Jie Lu Anjin Liu G. Zhang 96 3 0 15 Dec 2024
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams Brandon Gower-Winter Georg Krempl Sergey Dragomiretskiy Tineke Jelsma Arno Siebes 177 0 0 13 Dec 2024
An Algorithm-Centered Approach To Model Streaming Data Fabian Hinder Valerie Vaquet David Komnick Barbara Hammer 73 0 0 12 Dec 2024
Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn Ensemble Machine Learning Model During Concept Drift Teddy Lazebnik 126 1 0 12 Dec 2024
Buster: Implanting Semantic Backdoor into Text Encoder to Mitigate NSFW Content Generation Xin Zhao Xiaojun Chen Yuexin Xuan Zhendong Zhao Xiaojun Jia Xinfeng Li Xiaofeng Wang 111 1 0 10 Dec 2024
Privacy Drift: Evolving Privacy Concerns in Incremental Learning Sayyed Farid Ahamed S. Banerjee Sandip Roy Aayush Kapoor Marc Vucovich K. Choi Abdul Rahman Edward Bowen Sachin Shetty FedML 128 0 0 06 Dec 2024
CAdam: Confidence-Based Optimization for Online Learning Shaowen Wang Anan Liu Jian Xiao Huan Liu Yuekui Yang ... Suncong Zheng Wei-Qiang Zhang Di Wang Jie Jiang Jian Li 108 0 0 29 Nov 2024
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation Vennela Yarabolu Govind V Waghmare Sonia Gupta Siddhartha Asthana 99 0 0 23 Nov 2024
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 302 1 0 23 Nov 2024
Towards a Middleware for Large Language Models Narcisa Guran Florian Knauf Man Ngo Stefan Petrescu Jan S. Rellermeyer 111 2 0 21 Nov 2024
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting Qingxiang Liu Sheng Sun Yuxuan Liang Xiaolong Xu Min Liu Muhammad Bilal Yuwei Wang Xujing Li Yu Zheng 87 1 0 21 Nov 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments Paulius Rauba Nabeel Seedat Krzysztof Kacprzyk Mihaela van der Schaar AI4CE 97 2 0 31 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 55 2 0 28 Oct 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Jianfei Chen Jingfeng Xue Yanjie Wang Zhenyan Liu Lu Huang FedML 59 1 0 24 Oct 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 72 1 0 21 Oct 2024
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching Daniel J. Williams Leyang Wang Qizhen Ying Song Liu Mladen Kolar 104 2 0 14 Oct 2024
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift Yanru Sun Zongxia Xie Emadeldeen Eldele Dongyue Chen Q. Hu Min-man Wu AI4TS 57 2 0 13 Oct 2024
Time to Retrain? Detecting Concept Drifts in Machine Learning Systems Tri Minh Triet Pham Karthikeyan Premkumar Mohamed Naili Jinqiu Yang AI4TS 52 0 0 11 Oct 2024
Regression Conformal Prediction under Bias Matt Y. Cheung Tucker J. Netherton Laurence Court Ashok Veeraraghavan Guha Balakrishnan 91 0 0 07 Oct 2024
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis Amey Hengle Atharva Kulkarni Shantanu Patankar Madhumitha Chandrasekaran Sneha D'Silva Jemima Jacob Rashmi Gupta AI4MH 55 4 0 04 Oct 2024
Online Multi-Label Classification under Noisy and Changing Label Distribution Yizhang Zou Xuegang Hu Peipei Li Jun Hu You Wu 35 0 0 03 Oct 2024
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data Anderson Chaves Eduardo S. Ogasawara P. Valduriez Fábio Porto AI4TS 26 0 0 30 Sep 2024