Towards Condition-Independent Deep Mobile Sensing (poster)
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee · 2019
Deep mobile sensing applications are suffering from various individual conditions in the wild. We propose a meta-learned adaptation technique to adapt to a target condition with a few labeled data. We evaluate our system on a public dataset and it outperforms baselines.