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Jong-Ryul Lee

2 accepted papers

2023

Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment

AAAI 2023technical

As deep learning models become popular, there is a lot of need for deploying them to diverse device environments. Because it is costly to develop and optimize a neural network for every single environment, there is a line of research to search neural networks for multiple target environments efficie…

2021

Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring

EMNLP 2021finding

Word embedding is essential for neural network models for various natural language processing tasks. Since the word embedding usually has a considerable size, in order to deploy a neural network model having it on edge devices, it should be effectively compressed. There was a study for proposing a b…