The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision
We propose the Neuro-Symbolic Concept Learner (NS-CL), a model that learns visual concepts, words, and semantic parsing of sentences without explicit supervision on any of them; instead, our model learns by simply looking at images and reading paired questions and answers. Our model builds an object...
| Үндсэн зохиолчид: | , , , , |
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| Бусад зохиолчид: | |
| Формат: | Өгүүллэг |
| Хэл сонгох: | English |
| Хэвлэсэн: |
International Conference on Learning Representations
2020
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| Онлайн хандалт: | https://hdl.handle.net/1721.1/126594 |