mlsanityData to 14 Oct 2026

Sleep Deprivation in the Forward-Forward Algorithm

arXiv 2310.18647 ↗First posted 28 Oct 2023cs.AIcited by 1

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Abstract (arXiv)

This paper aims to explore the separation of the two forward passes in the Forward-Forward algorithm from a biological perspective in the context of sleep. We show the size of the gap between the sleep and awake phase influences the learning capabilities of the algorithm and highlight the importance of negative data in diminishing the devastating effects of sleep deprivation.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 9 references that are in the map. First posted on arXiv 28 Oct 2023.

Builds on

3 of 9 references.

References · 3

  1. 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,349
  2. 2022The Forward-Forward Algorithm: Some Preliminary Investigationscited by 266
  3. 2021Predictive Coding: a Theoretical and Experimental Reviewcited by 77

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Minimizing the Effect of Sleep Deprivation in the Forward-Forward Algorithmcited by 0