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Found 2 papers, 1 papers with code
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Binary Neural Networks (BNNs) show promising progress in reducing computational and memory costs but suffer from substantial accuracy degradation compared to their real-valued counterparts on large-scale datasets, e. g., ImageNet.
Training Competitive Binary Neural Networks from Scratch
In our work, we focus on increasing the performance of binary neural networks without such prior knowledge and a much simpler training strategy.
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