From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors

21 March 2022

Papers citing "From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors"

15 / 15 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 30 0 0 16 Jun 2025
Evolving Machine Learning: A Survey Ignacio Cabrera Martin Subhaditya Mukherjee Almas Baimagambetov Joaquin Vanschoren Nikolaos Polatidis VLM 266 0 0 23 May 2025
An Auditing Test To Detect Behavioral Shift in Language Models Leo Richter Xuanli He Pasquale Minervini Matt J. Kusner 105 0 0 25 Oct 2024
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time Salvatore Greco Bartolomeo Vacchetti D. Apiletti Tania Cerquitelli 69 2 0 24 Jun 2024
A Framework for Monitoring and Retraining Language Models in Real-World Applications Jaykumar Kasundra Claudia Schulz Melicaalsadat Mirsafian Stavroula Skylaki OffRL LRM 68 1 0 16 Nov 2023
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting Elin Törnquist Wagner Costa Santos Timothy C. Pogue Nicholas Wingle R. Caulk AI4TS 78 0 0 26 Sep 2023
Changing Data Sources in the Age of Machine Learning for Official Statistics Cedric De Boom Michael Reusens 66 1 0 07 Jun 2023
OPTWIN: Drift identification with optimal sub-windows Mauro Dalle Lucca Tosi Martin Theobald 69 1 0 19 May 2023
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Hans-Martin Heyn E. Knauss Iswarya Malleswaran Shruthi Dinakaran 75 4 0 31 Jan 2023
Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study Lorena Poenaru-Olaru Luís Cruz Arie van Deursen Jan S. Rellermeyer 81 12 0 23 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 111 13 0 09 Nov 2022
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework Ioannis Mavromatis Aftab Khan 87 5 0 03 Nov 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 73 7 0 04 Sep 2022
Learn to Adapt: Robust Drift Detection in Security Domain Aditya Kuppa Nhien-An Le-Khac OOD 67 18 0 15 Jun 2022
Continual Developmental Neurosimulation Using Embodied Computational Agents Bradly Alicea Rishabh Chakrabarty Stefan Dvoretskii Akshara Gopi A. Lim Jesse Parent 92 1 0 07 Mar 2021