2 papers
cs.CL2023
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images
Varuna Krishna, S Suryavardan, Shreyash Mishra +6
Word embeddings, i.e., semantically meaningful vector representation of words, are largely influenced by the distributional hypothesis "You shall know a word by the company it keep…
cs.LG2021
Memotion Analysis through the Lens of Joint Embedding
Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa +1
Joint embedding (JE) is a way to encode multi-modal data into a vector space where text remains as the grounding key and other modalities like image are to be anchored with such ke…