ml:edge_computing

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Table of Contents

Edge Computing for Neural Networks

Edge Computing for Neural Networks

Overviews

Papers

Iandola et al 2020 - SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
2017 - Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Sankar et al 2020 - ProFormer: Towards On-Device LSH Projection Based Transformers
Zhao et al 2021 - Extremely Small BERT Models from Mixed-Vocabulary Training Compresses BERT for edge devices by compressing the input word embeddings

Related Pages

Model Compression

ml/edge_computing.1648768793.txt.gz · Last modified: 2023/06/15 07:36 (external edit)