2 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CL2023
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning
Wafa Aissa, Marin Ferecatu, Michel Crucianu
Neural Module Networks (NMN) are a compelling method for visual question answering, enabling the translation of a question into a program consisting of a series of reasoning sub-ta…
cs.CL2023★ 2 cited
Curriculum Learning for Compositional Visual Reasoning
Wafa Aissa, Marin Ferecatu, Michel Crucianu
Visual Question Answering (VQA) is a complex task requiring large datasets and expensive training. Neural Module Networks (NMN) first translate the question to a reasoning path, th…
cs.LG2023★ 2 cited
Why is the prediction wrong? Towards underfitting case explanation via meta-classification
Sheng Zhou, Pierre Blanchart, Michel Crucianu +1
In this paper we present a heuristic method to provide individual explanations for those elements in a dataset (data points) which are wrongly predicted by a given classifier. Sinc…