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Tiago Mota

2 accepted papers

2020

Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract)

IJCAI 2020poster

Our architecture uses non-monotonic logical reasoning with incomplete commonsense domain knowledge, and incremental inductive learning, to guide the construction of deep network models from a small number of training examples. Experimental results in the context of a robot reasoning about the partia…

2019

Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots

RSS 2019poster

Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI. Training these models requires a large labeled dataset and considerable computational resources, which are not readily available in many domains. Also, it is difficult to…