ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.02804
  4. Cited By
Handling Concept Drift via Model Reuse

Handling Concept Drift via Model Reuse

8 September 2018
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
141
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
1