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Found 3 papers, 1 papers with code
Zero-Shot Dynamic Quantization for Transformer Inference
We introduce a novel run-time method for significantly reducing the accuracy loss associated with quantizing BERT-like models to 8-bit integers.
Optimal Mini-Batch Size Selection for Fast Gradient Descent
This paper presents a methodology for selecting the mini-batch size that minimizes Stochastic Gradient Descent (SGD) learning time for single and multiple learner problems.
Pieces of Eight: 8-bit Neural Machine Translation
Neural machine translation has achieved levels of fluency and adequacy that would have been surprising a short time ago.
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