TAC framework separates optimization of convolutional and fully connected layers in 1-bit DNNs to improve accuracy while maintaining efficiency.
BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1[J]
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A Targeted Acceleration and Compression Framework for Low bit Neural Networks
TAC framework separates optimization of convolutional and fully connected layers in 1-bit DNNs to improve accuracy while maintaining efficiency.