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A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares

arXiv 2310.03751 ↗First posted 22 Sep 2023eess.SP cs.LG q-bio.NCcited by 0

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Abstract (arXiv)

Interleaved learning in machine learning algorithms is a biologically inspired training method with promising results. In this short note, we illustrate the interleaving mechanism via a simple statistical and optimization framework based on Kalman Filter for Linear Least Squares.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 11 references that are in the map. First posted on arXiv 22 Sep 2023.

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References · 3

  1. 2023A Comprehensive Survey of Continual Learning: Theory, Method and Applicationcited by 860
  2. 2017FearNet: Brain-Inspired Model for Incremental Learningcited by 177
  3. 2021Interleaving Learning, with Application to Neural Architecture Searchcited by 2

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