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Chunking: Continual Learning is not just about Distribution Shift

Chunking: Continual Learning is not just about Distribution Shift

3 October 2023
Thomas L. Lee
Amos Storkey
ArXivPDFHTML

Papers citing "Chunking: Continual Learning is not just about Distribution Shift"

4 / 4 papers shown
Title
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
38
0
0
18 Feb 2025
Beyond Not-Forgetting: Continual Learning with Backward Knowledge
  Transfer
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
111
42
0
01 Nov 2022
Continual evaluation for lifelong learning: Identifying the stability
  gap
Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange
Gido M. van de Ven
Tinne Tuytelaars
CLL
88
41
0
26 May 2022
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
212
487
0
01 Oct 2021
1