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AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models


Oct 08, 2022
Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee

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* Findings of EMNLP 2022 

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nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models


Jun 20, 2022
Gunho Park, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee

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* 13 pages (including 2 pages of References), 13 figures, 5 tables 

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Modulating Regularization Frequency for Efficient Compression-Aware Model Training


May 05, 2021
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon

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* arXiv admin note: text overlap with arXiv:1905.10145 

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Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity


May 05, 2021
Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro

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Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization


May 05, 2021
Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh

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Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation


Oct 13, 2020
Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee

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* Findings of EMNLP 2020 

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FleXOR: Trainable Fractional Quantization


Sep 09, 2020
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun

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BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs


May 20, 2020
Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee

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* 12 pages, 10 figures 

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Learning Low-Rank Approximation for CNNs


May 24, 2019
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Gu-Yeon Wei

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