Neuro-Symbolic Concept Learner
Massachusetts Institute of Technology (MIT)Tsinghua UniversityMIT-IBM Watson AI LabDeepMindVisual question answeringSemantic segmentation
The Neuro-Symbolic Concept Learner model is a visual question answering model from Massachusetts Institute of Technology (MIT),Tsinghua University,MIT-IBM Watson AI Lab,DeepMind.
About Neuro-Symbolic Concept Learner
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
Details
- Provider
- Massachusetts Institute of Technology (MIT),Tsinghua University,MIT-IBM Watson AI Lab,DeepMind
- Task
- Visual question answering,Semantic segmentation
- Released
- 2019-04-26
- Open weights
- No