Learning under Concept Drift: A Review

13 April 2020

Papers citing "Learning under Concept Drift: A Review"

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Title
Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning T. Fagni S. Cresci 23 17 0 23 Feb 2022
Suitability of Different Metric Choices for Concept Drift Detection Fabian Hinder Valerie Vaquet Barbara Hammer 46 16 0 19 Feb 2022
Measuring and Reducing Model Update Regression in Structured Prediction for NLP Deng Cai Elman Mansimov Yi-An Lai Yixuan Su Lei Shu Yi Zhang KELM 108 9 0 07 Feb 2022
Implicit Concept Drift Detection for Multi-label Data Streams E. Gulcan Fazli Can AI4TS 27 0 0 31 Jan 2022
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning Naoki Masuyama Narito Amako Yuna Yamada Yusuke Nojima H. Ishibuchi 46 11 0 26 Jan 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li Xiao Yang Weiqing Liu Yingce Xia Jiang Bian DiffM AI4TS 98 57 0 11 Jan 2022
Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance Xiaobo Huang Amit Banerjee Chien-Chia Chen Chengzhi Huang Tzu Yi Chuang Abhishek Srivastava R. Cheveresan 10 1 0 13 Dec 2021
Differentially Private Ensemble Classifiers for Data Streams Lovedeep Gondara Ke Wang Ricardo Silva Carvalho FedML 26 4 0 09 Dec 2021
Burn After Reading: Online Adaptation for Cross-domain Streaming Data Luyu Yang M. Gao Zeyuan Chen Ran Xu Abhinav Shrivastava Chetan Ramaiah 66 4 0 08 Dec 2021
A Survey on Concept Drift in Process Mining Denise Maria Vecino Sato Sheila Cristiana de Freitas J. P. Barddal E. Scalabrin 38 72 0 03 Dec 2021
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams Helen McKay N. Griffiths Phillip Taylor 23 0 0 29 Nov 2021
Meaningful human control: actionable properties for AI system development Luciano Cavalcante Siebert M. Lupetti Evgeni Aizenberg N. Beckers Arkady Zgonnikov ... G. Houben Catholijn M. Jonker J. van den Hoven Deborah Forster R. Lagendijk 73 60 0 25 Nov 2021
Time Waits for No One! Analysis and Challenges of Temporal Misalignment Kelvin Luu Daniel Khashabi Suchin Gururangan Karishma Mandyam Noah A. Smith 108 92 0 14 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 63 38 0 12 Nov 2021
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data Yanou Ramon S. Matz R. Farrokhnia David Martens 51 19 0 12 Nov 2021
Employing chunk size adaptation to overcome concept drift Jkedrzej Kozal Filip Guzy Michal Wo'zniak AI4TS 26 4 0 25 Oct 2021
SSMF: Shifting Seasonal Matrix Factorization Anirudh Mittal Siddharth Bhatia R. Liu Diptesh Kanojia P. Bhattacharyya AI4TS 59 9 0 25 Oct 2021
Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling Yaxiong Yuan Lei Lei T. Vu Zheng Chang Symeon Chatzinotas Sumei Sun 82 23 0 13 Oct 2021
A Broad Ensemble Learning System for Drifting Stream Classification Sepehr Bakhshi Pouya Ghahramanian Hamed Bonab Fazli Can 45 10 0 07 Oct 2021
Customs Fraud Detection in the Presence of Concept Drift Tung Mai Kien Hoang Aitolkyn Baigutanova Gaukhartas Alina Sundong Kim 58 9 0 29 Sep 2021
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation Xing Luo Dongxiao Zhang AI4TS 30 31 0 28 Sep 2021
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks Chin-Chia Michael Yeh Zhongfang Zhuang Junpeng Wang Yan Zheng J. Ebrahimi Ryan Mercer Liang Wang Wei Zhang AI4TS 50 4 0 21 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? Deqiang Li Tian Qiu Shuo Chen Qianmu Li Shouhuai Xu AAML 119 13 0 20 Sep 2021
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams Li Yang D. Manias Abdallah Shami 122 55 0 10 Sep 2021
LEAF: Navigating Concept Drift in Cellular Networks Shinan Liu F. Bronzino Paul Schmitt A. Bhagoji Nick Feamster Héctor García Crespo Timothy T Coyle Brian Ward 73 12 0 07 Sep 2021
Assessing Machine Learning Approaches to Address IoT Sensor Drift Haining Zheng António R. C. Paiva 33 1 0 02 Sep 2021
Asynchronous Federated Learning for Sensor Data with Concept Drift Yujing Chen Zheng Chai Yue Cheng Huzefa Rangwala FedML 99 32 0 01 Sep 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 91 3 0 30 Aug 2021
On the Future of Cloud Engineering David Bermbach A. Chandra C. Krintz A. Gokhale Aleksander Slominski L. Thamsen Everton Cavalcante Tian Guo Ivona Brandić R. Wolski 65 23 0 19 Aug 2021
Task-Sensitive Concept Drift Detector with Constraint Embedding Andrea Castellani Sebastian Schmitt Barbara Hammer 47 13 0 16 Aug 2021
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates Oliver Cobb A. V. Looveren Janis Klaise 80 6 0 02 Aug 2021
Tiny Machine Learning for Concept Drift Simone Disabato M. Roveri 76 28 0 30 Jul 2021
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits Junpei Komiyama Edouard Fouché Junya Honda 81 6 0 23 Jul 2021
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests Sean Kulinski S. Bagchi David I. Inouye OOD 71 31 0 14 Jul 2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda Niek Tax Kees Jan de Vries Mathijs de Jong Nikoleta Dosoula Bram van den Akker Jon Smith Olivier Thuong Lucas Bernardi 32 21 0 05 Jul 2021
Detecting Concept Drift With Neural Network Model Uncertainty Lucas Baier Tim Schlör Jakob Schöffer Niklas Kühl 68 28 0 05 Jul 2021
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection Won-Jo Lee Seokhyun Byun Jooeun Kim Minje Park Kirill Chechil AI4TS 40 2 0 01 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes Nikhil Muralidhar Sathappah Muthiah P. Butler Manish Jain Yu Yu ... Weipeng Li David Jones P. Arunachalam Hays Mccormick Naren Ramakrishnan 56 17 0 30 Jun 2021
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations Abubakar Abid Mert Yuksekgonul James Zou CML 113 64 0 24 Jun 2021
On Anytime Learning at Macroscale Lucas Caccia Jing Xu Myle Ott MarcÁurelio Ranzato Ludovic Denoyer 88 27 0 17 Jun 2021
Domain Transformer: Predicting Samples of Unseen, Future Domains Johannes Schneider OOD 62 2 0 10 Jun 2021
MemStream: Memory-Based Streaming Anomaly Detection Siddharth Bhatia Arjit Jain Shivin Srivastava Kenji Kawaguchi Bryan Hooi AI4TS 76 18 0 07 Jun 2021
Concept drift detection and adaptation for federated and continual learning F. Casado Dylan Lema Marcos F. Criado R. Iglesias Carlos V. Regueiro S. Barro FedML 69 64 0 27 May 2021
Automatic Learning to Detect Concept Drift Hang Yu Tianyu Liu Jie Lu Guangquan Zhang 61 11 0 04 May 2021
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Zou 135 20 0 28 Apr 2021
Class-Incremental Experience Replay for Continual Learning under Concept Drift Lukasz Korycki Bartosz Krawczyk 79 32 0 24 Apr 2021
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams Li Yang Abdallah Shami 155 108 0 21 Apr 2021
Concept Drift Detection from Multi-Class Imbalanced Data Streams Lukasz Korycki Bartosz Krawczyk 45 41 0 20 Apr 2021
Analyzing Flight Delay Prediction Under Concept Drift Lucas Giusti Leonardo Carvalho A. T. Gomes R. Coutinho Jorge Soares Eduardo S. Ogasawara AI4TS 16 8 0 05 Apr 2021