Corpus ID: 174799530

Deep learning based unsupervised concept unification in the embedding space

@article{Nenadovi2019DeepLB,
  title={Deep learning based unsupervised concept unification in the embedding space},
  author={L. Nenadovi{\'c} and Vladimir Prelovac},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.01873}
}
  • L. Nenadović, Vladimir Prelovac
  • Published 2019
  • Computer Science
  • ArXiv
  • Humans are able to conceive physical reality by jointly learning different facets thereof. [...] Key Method Following success of the unsupervised neural machine translation models, which are essentially one-to-one mappings trained separately on monolingual corpora, we examine further capabilities of unsupervised deep learning methods used there and apply these methods to sets of notions of different level and measure.Expand Abstract

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