Evolving Machine Learning: A Survey

23 May 2025

Papers citing "Evolving Machine Learning: A Survey"

29 / 29 papers shown

Title
One or Two Things We know about Concept Drift -- A Survey on Monitoring Evolving Environments Fabian Hinder Valerie Vaquet Barbara Hammer 52 8 0 24 Oct 2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data Weijieying Ren Tianxiang Zhao Wei Qin Kunpeng Liu TTA AI4TS 47 6 0 05 Sep 2023
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors Firas Bayram Bestoun S. Ahmed A. Kassler 37 213 0 21 Mar 2022
Suitability of Different Metric Choices for Concept Drift Detection Fabian Hinder Valerie Vaquet Barbara Hammer 19 16 0 19 Feb 2022
Improving the performance of bagging ensembles for data streams through mini-batching Guilherme Weigert Cassales Heitor Murilo Gomes Albert Bifet Bernhard Pfahringer H. Senger AI4TS 35 13 0 18 Dec 2021
Task-Sensitive Concept Drift Detector with Constraint Embedding Andrea Castellani Sebastian Schmitt Barbara Hammer 25 12 0 16 Aug 2021
Detecting Concept Drift With Neural Network Model Uncertainty Lucas Baier Tim Schlör Jakob Schöffer Niklas Kühl 41 28 0 05 Jul 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 403 40,217 0 22 Oct 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning Pietro Buzzega Matteo Boschini Angelo Porrello Simone Calderara CLL 33 149 0 12 Oct 2020
CONDA-PM -- A Systematic Review and Framework for Concept Drift Analysis in Process Mining G. El-khawaga Mervat Abu-Elkheir S. Barakat A. Riad M. Reichert 10 12 0 08 Sep 2020
Adaptation Strategies for Automated Machine Learning on Evolving Data B. Celik Joaquin Vanschoren 41 54 0 09 Jun 2020
Learning under Concept Drift: A Review Jie Lu Anjin Liu Fan Dong Feng Gu João Gama Guangquan Zhang AI4TS 48 1,262 0 13 Apr 2020
Concept Drift Adaptive Physical Event Detection for Social Media Streams Abhijit Suprem A. Musaev C. Pu 24 12 0 17 Sep 2019
Toward Understanding Catastrophic Forgetting in Continual Learning Cuong V Nguyen Alessandro Achille Michael Lam Tal Hassner Vijay Mahadevan Stefano Soatto 41 92 0 02 Aug 2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks W. Wen Feng Yan Yiran Chen H. Li 41 39 0 07 Jun 2019
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments Andri Ashfahani Mahardhika Pratama 53 69 0 17 Oct 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 121 2,854 0 21 Feb 2018
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 81 1,214 0 04 Aug 2017
Understanding Concept Drift Geoffrey I. Webb Loong Kuan Lee F. Petitjean Bart Goethals 18 68 0 02 Apr 2017
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data Tegjyot Singh Sethi M. Kantardzic 26 174 0 31 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 268 7,410 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 93 3,713 0 23 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Characterizing Concept Drift Geoffrey I. Webb Roy Hyde Hong Cao Hai-Long Nguyen F. Petitjean 36 418 0 12 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 203 8,793 0 01 Oct 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 857 149,474 0 22 Dec 2014
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 100 1,310 0 29 Jul 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 130 1,428 0 21 Dec 2013