A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading

no code implementations • 19 Jul 2023 • Tatiana Fountoukidou, Raphael Sznitman

As such, validation of machine learning models represents an important aspect and yet, most methods are only validated in a limited way.

Question Answering Reinforcement Learning (RL) +1

Concept-Centric Visual Turing Tests for Method Validation

no code implementations • 15 Jul 2019 • Tatiana Fountoukidou, Raphael Sznitman

To do this, we make use of a Twenty Questions paradigm whereby we use a probabilistic model to characterize the method's capacity to grasp task-specific concepts, and we introduce a strategy to sequentially query the method according to its previous answers.

BIG-bench Machine Learning