Shichang He

Learning to Transfer Under Unknown Noisy Environments: An Universal Weakly-Supervised Domain Adaptation Method

2021

Weakly-supervised domain adaptation has been introduced to address the source domain with label noise or/and feature noise. However, the existing weakly-supervised domain adaptation methods only work under ideal assumptions, which assume either the annotated data …

Soft-Gated Self-Supervision Network for Action Reasoning

2021

Behavior decision-making in the dialogue domain is the key to the success of the dialogue system. Existing machine learning algorithm based on statistics and an deep learning algorithm based on pre-training are difficult to adapt …