Papers with K-virtual models

    1 papers
    Single Model Ensemble using Pseudo-Tags and Distinct Vectors (2020.acl-main)

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    Challenge: Existing methods for model ensembles require time, memory, and management effort to perform tasks.
    Approach: They propose a method that replicates the effects of a model ensemble with a single model.
    Outcome: The proposed method emulates or outperforms a traditional model ensemble with 1/K-times fewer parameters on text classification and sequence labeling tasks.

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