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Found 3 papers, 3 papers with code
4-bit Conformer with Native Quantization Aware Training for Speech Recognition
Reducing the latency and model size has always been a significant research problem for live Automatic Speech Recognition (ASR) application scenarios.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
PokeBNN: A Binary Pursuit of Lightweight Accuracy
In order to enable joint optimization of the cost together with accuracy, we define arithmetic computation effort (ACE), a hardware- and energy-inspired cost metric for quantized and binarized networks.
Ranked #1 on
Binarization
on ImageNet
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
In this work, we use ResNet as a case study to systematically investigate the effects of quantization on inference compute cost-quality tradeoff curves.
