AINeutralarXiv – CS AI · 18h ago6/10
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Seq103: A Unified Neuroevolution Framework for Compact Sequence Architecture Discovery
Seq103 introduces a unified neuroevolution framework that automatically discovers compact neural network architectures for sequence tasks, achieving 81-87% of baseline accuracy while using 11-3,200x fewer parameters. The framework applies the same evolutionary search pipeline to both recurrent and feedforward sequence classification, offering significant efficiency gains for resource-constrained deployments.