2 papers
cs.LG2022
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning
Dong Ma, Chi Ian Tang, Cecilia Mascolo
Many deep learning applications, like keyword spotting, require the incorporation of new concepts (classes) over time, referred to as Class Incremental Learning (CIL). The major ch…
cs.LG2019
Learning discriminative features in sequence training without requiring framewise labelled data
Jun Wang, Dan Su, Jie Chen +4
In this work, we try to answer two questions: Can deeply learned features with discriminative power benefit an ASR system's robustness to acoustic variability? And how to learn the…