Recent approaches invariably focus on designing sophisticated architectures or mechanisms to extract seemingly meaningful representations from subjects and contexts.  ...  To tackle the issue, this paper provides a causality-based perspective to disentangle the models from the impact of such bias, and formulate the causalities among variables in the CAER task via a tailored  ...  Introduction As an essential technology for understanding human intentions, emotion recognition has attracted significant attention in various fields such as human-computer interaction [1] , medical monitoring  ... 

In this work, we propose new research directions and new technical contributions towards these research questions. This thesis is organized in two parts (theme A and theme B).  ...  The intention of our work is not to understand BNNs as GPs, nor to use deep learning to help GP design.  ...  While regular MSE might be biased toward questions with more responses, the debiased MSE treats all questions equally, and can avoid selection bias to a certain degree.  ...