3 accepted papers
Long-term chatbots are expected to develop relationships with users. The major trend in this field’s recent long-term chatbot studies is to train systems with virtual long-term chat data called Multi-Session Chat (MSC), which collects text chat from multiple sessions of crowd workers playing the rol…
Two important aspects of machine learning, uncertainty and calibration, have previously been studied separately. The first aspect involves knowing whether inaccuracy is due to the epistemic uncertainty of the model, which is theoretically reducible, or to the aleatoric uncertainty in the data per se…
Efficient analysis of multiple sequential data is becoming necessary for identifying sequential patterns of multiple objects of interest. This analysis has major practical and technical importance because finding such patterns necessitates extraction and discovery of latent but meaningful groups of…