25 citations · 32 across the 25 of their papers we have counts for
Showing 2023Show all
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cs.SD2023★ 1 cited
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics
Umberto Michieli, Pablo Peso Parada, Mete Ozay
Keyword Spotting (KWS) models on embedded devices should adapt fast to new user-defined words without forgetting previous ones. Embedded devices have limited storage and computatio…
cs.RO2023★ 1 cited
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli, Mete Ozay
Vision systems mounted on home robots need to interact with unseen classes in changing environments. Robots have limited computational resources, labelled data and storage capabili…
cs.SD2023
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization
Edward Fish, Umberto Michieli, Mete Ozay
Recent advancement in Automatic Speech Recognition (ASR) has produced large AI models, which become impractical for deployment in mobile devices. Model quantization is effective to…