• Corpus ID: 244117869

CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings

@article{Skantze2021CoLLIECL,
  title={CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings},
  author={Gabriel Skantze and Bram Willemsen},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.07993}
}
This paper presents CoLLIE: a simple, yet effective model for continual learning of how language is grounded in vision. Given a pre-trained multimodal embedding model, where language and images are projected in the same semantic space (in this case CLIP by OpenAI), CoLLIE learns a transformation function that adjusts the language embeddings when needed to accommodate new language use. This is done by predicting the difference vector that needs to be applied, as well as a scaling factor for this… 
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