Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
| Authors |
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| Publication date | 2019 |
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| Book title | The 57th Annual Meeting of the Association for Computational Linguistics |
| Book subtitle | ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy |
| ISBN (electronic) |
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| Event | The 57th Annual Meeting of the Association for Computational Linguistics - ACL 2019 |
| Pages (from-to) | 3601-3605 |
| Publisher | Stroudsburg, PA: The Association for Computational Linguistics |
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| 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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| Document type | Conference contribution |
| Note | With supplemental material |
| Language | English |
| Published at | https://doi.org/10.18653/v1/P19-1350 |
| Other links | https://vimeo.com/384787273 http://continual-vista.github.io/ |
| Downloads |
P19-1350
(Final published version)
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| Supplementary materials | |
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