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A review of on-device fully neural end-to-end automatic speech recognition algorithms

Dec 19, 2020
Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han

* Accepted as an invited paper to the Asilomar Conference on Signals, Systems, and Computers 2020 

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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

* 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

* 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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Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks

May 24, 2019
Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei


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Network Pruning for Low-Rank Binary Indexing

May 14, 2019
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei


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DeepTwist: Learning Model Compression via Occasional Weight Distortion

Oct 30, 2018
Dongsoo Lee, Parichay Kapoor, Byeongwook Kim


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Retraining-Based Iterative Weight Quantization for Deep Neural Networks

May 29, 2018
Dongsoo Lee, Byeongwook Kim

* 12 pages, 13 figures, NIPS 2018 (32nd Annual Conference on Neural Information Processing Systems) submission 

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