{
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  "@type": "article",
  "@id": "https://anchorfact.org/kb/continual-learning",
  "headline": "Continual Learning and Catastrophic Forgetting: EWC to MESU",
  "description": "Continual learning enables neural networks to learn new tasks without forgetting previous ones. From EWC's Fisher-based regularization to MESU's Bayesian uncertainty approach, the field targets the fundamental challenge of catastrophic forgetting.",
  "dateCreated": "2026-05-24T02:49:13.592Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Overcoming catastrophic forgetting in neural networks (EWC)",
      "sameAs": "https://www.pnas.org/doi/10.1073/pnas.1611835114"
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    {
      "@type": "CreativeWork",
      "name": "Bayesian continual learning and forgetting in artificial neural networks (MESU)",
      "sameAs": "https://www.nature.com/articles/s41467-025-64601-w"
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}