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Handling Concept Drift via Model Reuse

Handling Concept Drift via Model Reuse

Peng Zhao
Le-Wen Cai
Zhi Zhou
ArXiv (abs)PDFHTML

Papers citing "Handling Concept Drift via Model Reuse"

8 / 8 papers shown
Title
Hypothesis Transfer in Bandits by Weighted Models
Hypothesis Transfer in Bandits by Weighted Models
Steven Bilaj
Sofien Dhouib
S. Maghsudi
64
2
0
14 Nov 2022
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach
Jesse Read
OOD
70
3
0
24 Jul 2022
Open-environment Machine Learning
Open-environment Machine Learning
Zhi Zhou
VLM
119
140
0
01 Jun 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
Wendi Li
Xiao Yang
Weiqing Liu
Yingce Xia
Jiang Bian
DiffMAI4TS
98
57
0
11 Jan 2022
MRCpy: A Library for Minimax Risk Classifiers
MRCpy: A Library for Minimax Risk Classifiers
Kartheek Bondugula
Verónica Álvarez
José I. Segovia-Martín
Aritz Pérez Martínez
Santiago Mazuelas
56
4
0
04 Aug 2021
Learning Parameter Distributions to Detect Concept Drift in Data Streams
Learning Parameter Distributions to Detect Concept Drift in Data Streams
Johannes Haug
Gjergji Kasneci
45
21
0
19 Oct 2020
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift
Ashraf Tahmasbi
Ellango Jothimurugesan
Srikanta Tirthapura
Phillip B. Gibbons
57
11
0
13 Mar 2020
Model Reuse with Reduced Kernel Mean Embedding Specification
Model Reuse with Reduced Kernel Mean Embedding Specification
Xi-Zhu Wu
Wen-qi Xu
Song Liu
Zhi Zhou
150
25
0
20 Jan 2020