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Model compression for deep neural networks: A survey
Currently, with the rapid development of deep learning, deep neural networks (DNNs) have
been widely applied in various computer vision tasks. However, in the pursuit of …
been widely applied in various computer vision tasks. However, in the pursuit of …
Lightweight deep learning for resource-constrained environments: A survey
HI Liu, M Galindo, H ** attention heads do nothing
Transformer models have been widely adopted in various domains over the last years and
especially large language models have advanced the field of AI significantly. Due to their …
especially large language models have advanced the field of AI significantly. Due to their …
A survey of quantization methods for efficient neural network inference
This chapter provides approaches to the problem of quantizing the numerical values in deep
Neural Network computations, covering the advantages/disadvantages of current methods …
Neural Network computations, covering the advantages/disadvantages of current methods …
Outlier suppression: Pushing the limit of low-bit transformer language models
Transformer architecture has become the fundamental element of the widespread natural
language processing~(NLP) models. With the trends of large NLP models, the increasing …
language processing~(NLP) models. With the trends of large NLP models, the increasing …