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Found 3 papers, 1 papers with code
Binary domain generalization for sparsifying binary neural networks
Binary neural networks (BNNs) are an attractive solution for developing and deploying deep neural network (DNN)-based applications in resource constrained devices.
Sparsifying Binary Networks
Our experiments confirm that SBNNs can achieve high compression rates, without compromising generalization, while further reducing the operations of BNNs, making SBNNs a viable option for deploying DNNs in cheap, low-cost, limited-resources IoT devices and sensors.
Ranked #1 on
Sparse Learning and binarization
on CIFAR-100
Sparse Binary Neural Networks
Among quantized networks, Binary Neural Networks (BNNs) have reported the largest speed-up.
