Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering

作者：Claudio Greco, Barbara Plank, R. Fernández, R. Bernardi · 发表于：Annual Meeting of the Association for Computational Linguistics · 年份：2019 · DOI：10.18653/v1/p19-1350 · 被引用次数：58 · 研究领域：Computer Science

We study the issue of catastrophic forgetting in the context of neural multimodal approaches to Visual Question Answering (VQA). Motivated by evidence from psycholinguistics, we devise a set of linguistically-informed VQA tasks, which differ by the types of questions involved (Wh-questions and polar questions). We test what impact task difficulty has on continual learning, and whether the order in which a child acquires question types facilitates computational models. Our results show that dramatic forgetting is at play and that task difficulty and order matter. Two well-known current continual learning methods mitigate the problem only to a limiting degree.