Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations

Deep multi-task learning attracts much attention in recent years as it achieves good performance in many applications. Feature learning is important to deep multi-task learning for sharing common information among tasks. In this paper, we propose ...

• We propose a novel learning framework of multi-task CNN to enhance task attention through tuning the TTC of the shared subnet DMT-CNN with adversarial ...

Multi-task deep learning is promising to solve multi-label multi-instance visual recognition tasks. However, flexible information sharing in the task group might bring performance bottlenecks to an individual task. To tackle this ...

Previous research has achieved remarkable progress in Sign Language Recognition (SLR). However, for robust open-set SLR applications, it is necessary to solve signer-independent SLR. This paper proposes a novel adversarial multi-task deep learning ...