AI models
Neuro-Symbolic Concept Learner
Published
Apr 26, 2019
Neuro-Symbolic Concept Learner is an AI model developed by Massachusetts Institute of Technology (MIT), Tsinghua University, MIT-IBM Watson AI Lab and DeepMind (United States, China and United Kingdom), first published in April 2019. It works in the vision and language domain, on tasks such as visual question answering and semantic segmentation.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 100K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 837 citations.
Full record
- Organization
- Massachusetts Institute of Technology (MIT), Tsinghua University, MIT-IBM Watson AI Lab, DeepMind
- Country of organization
- United States, China, United Kingdom
- Domain
- Vision, Language
- Task
- Visual question answering, Semantic segmentation
- Dataset size
- 100K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 837
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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