AINeutralarXiv – CS AI · 6h ago5/10
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Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment
Researchers introduce a learnable channel-class assignment mechanism for Forward-Forward (FF) neural networks, enabling adaptive specialization in convolutional layers. The method combines entropy and orthogonality regularization with loss-aware layer weighting to achieve state-of-the-art performance among FF-based models on image classification benchmarks, substantially narrowing the performance gap with traditional backpropagation.