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Filtering by: Creator Slegers, Nathan J. Remove constraint Creator: Slegers, Nathan J. Creator Agostinelli, Victor Remove constraint Creator: Agostinelli, Victor Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • A case for application-based linear transformers : applied towards text-to-spectrogram

    Creator:
    Agostinelli, Victor
    Abstract:
    Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
    Resource Type:
    Masters Thesis
    Full Text:
    further showcased in Figure 2.2. Ai = ∑ j exp(QiK T j )∑ j exp(QiK T j ) Vj (2.4) Ãi = ∑ j S(QiK T