2021
Specialized Embedding Approximation for Edge Intelligence: A Case Study in Urban Sound Classification
ICASSP 2021accepted
Embedding models that encode semantic information into low-dimensional vector representations are useful in various machine learning tasks with limited training data. However, these models are typically too large to support inference in small edge devices, which motivates training of smaller yet com…