Before revision:  We further propose a novel methodology to train models to learn negation, conjunction, and disjunction and show }  improvement in learning logical composition and retaining performance on VQA.
After revision:  We further propose a novel methodology to train models to learn negation, conjunction, and disjunction and show } model which uses question-attention and logic-attention to understand logical connectives in the question, and a novel Fr\'echet-Compatibility Loss, which ensures that the answers of the component questions and the composed question are consistent with the inferred logical operation. Our model shows substantial improvement in learning logical composition and retaining performance on VQA.