2020
Cost-Effective Interactive Attention Learning with Neural Attention Processes
ICML 2020poster
We propose a novel interactive learning framework which we refer to as Interactive Attention Learning (IAL), in which the human supervisors interactively manipulate the allocated attentions, to correct the model’s behaviour by updating the attention-generating network. However, such a model is prone…