Abstract: The low efficiency of reinforcement learning training has long been a key constraint limiting its practical application in industrial domains. To address this issue, this paper proposes a ...
Abstract: The post-training quantization (PTQ) is a common technology to improve the efficiency of embedded neural network accelerators. Existing PTQ schemes for CNN activations usually rely on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback