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The ALiEN project aims to develop generic communication protocols for deep neural networks (DNNs) to facilitate their interaction without the need for complex, custom connections. By training DNNs to communicate using emergent languages, the project seeks to enhance scalability and robustness in various applications, i…
Deep neural networks (DNNs) are specialized computational models lacking a standard interface.
If a complex task requires different DNNs, an ad-hoc connection must be laboriously designed.
Inspired by human language, ALiEN wants to replace such ad-hoc interfaces with generic communication protocols optimized for ease of learning by DNNs that might have different architectures and functions. ALiEN “languages” are not hand-crafted: they emerge by training DNNs to share information through communic…
UNIVERSIDAD POMPEU FABRA
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