Learning from Pattern Completion: Self-supervised Controllable Generation
–Neural Information Processing Systems
Inspired by the neural mechanisms that may contribute to the brain's associative power, specifically the cortical modularization and hippocampal pattern completion, here we propose a self-supervised controllable generation (SCG) framework.
Neural Information Processing Systems
Feb-10-2026, 15:46:05 GMT
- Country:
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- Beijing > Beijing (0.04)
- Shaanxi Province > Xi'an (0.04)
- Europe > Switzerland
- Asia > China
- Genre:
- Research Report > Experimental Study (1.00)
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- Health & Medicine > Therapeutic Area > Neurology (0.93)
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- Information Technology > Artificial Intelligence
- Machine Learning > Neural Networks (1.00)
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- Information Technology > Artificial Intelligence