Papers with VisCOLL

1 papers
Visually Grounded Continual Learning of Compositional Phrases (2020.emnlp-main)

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Challenge: Modern NLP systems rely on offline training and are inefficient for new tasks.
Approach: They propose a visually grounded ContinuaL learning task which simulates the continual acquisition of compositional phrases from streaming visual scenes.
Outcome: The proposed system improves on existing systems, but it's infeasible to store all possible compositions.

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