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Found 2 papers, 1 papers with code
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Co-exploration of an optimal neural architecture and its hardware accelerator is an approach of rising interest which addresses the computational cost problem, especially in low-profile systems.
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
To deal with the performance drop induced by quantization errors, a popular method is to use training data to fine-tune quantized networks.
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