A Scalable Model Specialization Framework for Training and Inference
using Submodels and its Application to Speech Model Personalization

A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization

23 March 2022

Andrew Rosenberg

Pedro J. Moreno

Papers citing "A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization"

4 / 4 papers shown

Title
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 32 73 0 22 Feb 2023
Efficient Domain Adaptation for Speech Foundation Models Bo-wen Li DongSeon Hwang Zhouyuan Huo Junwen Bai Guru Prakash ... K. Sim Yu Zhang Wei Han Trevor Strohman F. Beaufays AI4CE 41 23 0 03 Feb 2023
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech Katrin Tomanek Vicky Zayats Dirk Padfield K. Vaillancourt Fadi Biadsy 59 57 0 14 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021