mlsanityData to 14 Oct 2026

An Investigation into Mini-Batch Rule Learning

arXiv 2106.10202 ↗First posted 18 Jun 2021cs.LG cs.AIcited by 1

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Abstract (arXiv)

We investigate whether it is possible to learn rule sets efficiently in a network structure with a single hidden layer using iterative refinements over mini-batches of examples. A first rudimentary version shows an acceptable performance on all but one dataset, even though it does not yet reach the performance levels of Ripper.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 18 Jun 2021.

Builds on

2 of 8 references.

References · 2

  1. 2020Learning Gradient Boosted Multi-label Classification Rulescited by 11
  2. 2017Differentiable Learning of Logical Rules for Knowledge Base Reasoningcited by 8

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Citing papers per year: 2022: 1.

1 paper.

  1. 2022Differentiable Rule Induction with Learned Relational Featurescited by 8