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

June 10, 2019 ยท Declared Dead ยท ๐Ÿ› Annual Meeting of the Association for Computational Linguistics

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Authors Claudio Greco, Barbara Plank, Raquel Fernรกndez, Raffaella Bernardi arXiv ID 1906.04229 Category cs.CL: Computation & Language Citations 55 Venue Annual Meeting of the Association for Computational Linguistics Last Checked 5 months ago
Abstract
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.
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