{
  "id": "1609.09106",
  "title": "HyperNetworks",
  "authors": "David Ha, Andrew Dai, Quoc V. Le",
  "first_public": "2016-09-27",
  "first_public_source": "https://arxiv.org/abs/1609.09106",
  "arxiv_first_submission": "2016-09-27",
  "date_label": "arXiv v1",
  "arxiv": "1609.09106",
  "paper_url": "https://arxiv.org/abs/1609.09106",
  "venue": "ICLR 2017",
  "lens": [
    "generated-adapters"
  ],
  "related_terms": [
    "hypernetwork",
    "weight generation",
    "fast weights",
    "conditional parameters"
  ],
  "summary": "Uses one neural network to generate the weights of another.",
  "contribution": "Applies weight generation to convolutional and recurrent networks, relaxing weight sharing across layers and generating dynamic weights for sequence models.",
  "limitations": "The hypernetwork is trained end to end for the target architecture.",
  "program_form": "Weights for the target network.",
  "conditioning": "Layer embeddings or the current recurrent state.",
  "execution": "The target network runs with the generated weights.",
  "relationship": "Provides the weight-generation mechanism used by later description-to-adapter methods and PAW.",
  "relationship_source": "https://arxiv.org/html/2607.02512v1#S10",
  "provenance": "arXiv record and paper.",
  "author_names": [
    "David Ha",
    "Andrew Dai",
    "Quoc V. Le"
  ],
  "record_url": "https://programasweights.com/reading-list/papers/1609.09106/",
  "legacy_record_url": "https://programasweights.com/reading-list/papers/#paper-1609-09106",
  "citation_date": "2016-09-27",
  "json_url": "https://programasweights.com/reading-list/papers/1609.09106/record.json",
  "markdown_url": "https://programasweights.com/reading-list/papers/1609.09106/index.md",
  "bibtex_url": "https://programasweights.com/reading-list/papers/1609.09106/citation.bib",
  "csl_url": "https://programasweights.com/reading-list/papers/1609.09106/citation.csl.json",
  "publication": {
    "title": "HyperNetworks",
    "author_names": [
      "David Ha",
      "Andrew M. Dai",
      "Quoc V. Le"
    ],
    "year": 2017,
    "type": "paper-conference",
    "container_title": "International Conference on Learning Representations",
    "url": "https://openreview.net/forum?id=rkpACe1lx",
    "source_url": "https://openreview.net/pdf?id=rkpACe1lx",
    "verified_at": "2026-10-19"
  },
  "publication_bibtex_url": "https://programasweights.com/reading-list/papers/1609.09106/publication.bib",
  "publication_csl_url": "https://programasweights.com/reading-list/papers/1609.09106/publication.csl.json"
}