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Yoo, Sungjoo
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1

MetaMix: Meta-state Precision Searcher for Mixed-precision ..:

Kim, Han-Byul ; Lee, Joo Hyung ; Yoo, Sungjoo.
http://arxiv.org/abs/2311.06798.  , 2023
Link: http://arxiv.org/abs/231..
 
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2

Retrospective: A Scalable Processing-in-Memory Accelerator ..:

Ahn, Junwhan ; Hong, Sungpack ; Yoo, Sungjoo..
http://arxiv.org/abs/2306.15577.  , 2023
Link: http://arxiv.org/abs/230..
 
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3

An FPGA-based platform for non volatile memory emulation:

Lee, Taemin ; Yoo, Sungjoo
NVMSA 2017 - 6th IEEE Non-Volatile Memory Systems and Applications Symposium.  , 2023
Link: https://hdl.handle.net/1..
 
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4

Weighted-entropy-based quantization for deep neural network:

Park, Eunhyeok ; Ahn, Junwhan ; Yoo, Sungjoo
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Vol.2017-January, pp.7197-7205.  , 2023
Link: https://hdl.handle.net/1..
 
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5

MFOS: Model-Free & One-Shot Object Pose Estimation:

Lee, JongMin ; Cabon, Yohann ; Brégier, Romain..
http://arxiv.org/abs/2310.01897.  , 2023
Link: http://arxiv.org/abs/231..
 
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6

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural ..:

Jung, Hyunyoung ; Hui, Zhuo ; Luo, Lei...
http://arxiv.org/abs/2303.16493.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

NIPQ: Noise proxy-based Integrated Pseudo-Quantization:

Shin, Juncheol ; So, Junhyuk ; Park, Sein...
http://arxiv.org/abs/2206.00820.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Memory Efficient Patch-based Training for INR-based GANs:

Lee, Namwoo ; Kim, Hyunsu ; Lee, Gayoung..
http://arxiv.org/abs/2207.01395.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Energy-efficient Neural Network Accelerator Based on Outlie..:

Park, Eunhyeok ; Kim, Dongyoung ; Yoo, Sungjoo
2018 ACM/IEEE 45TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA), pp.688-698.  , 2022
Link: https://hdl.handle.net/1..
 
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10

MEANTIME: Mixture of Attention Mechanisms with Multi-tempor..:

Cho, Sung Min ; Park, Eunhyeok ; Yoo, Sungjoo
RecSys 2020 - 14th ACM Conference on Recommender Systems, pp.515-520.  , 2022
Link: https://hdl.handle.net/1..
 
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11

Exploiting Spatial Dimensions of Latent in GAN for Real-tim..:

Kim, Hyunsu ; Choi, Yunjey ; Kim, Junho..
http://arxiv.org/abs/2104.14754.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

On the Overlooked Significance of Underutilized Contextual ..:

Cho, Sungmin ; Lim, Hongjun ; Park, Keunchan..
http://arxiv.org/abs/2112.14370.  , 2021
Link: http://arxiv.org/abs/211..
 
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13

Fine-grained Semantics-aware Representation Enhancement for..:

Jung, Hyunyoung ; Park, Eunhyeok ; Yoo, Sungjoo
http://arxiv.org/abs/2108.08829.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

PROFIT: A Novel Training Method for sub-4-bit MobileNet Mod..:

Park, Eunhyeok ; Yoo, Sungjoo
http://arxiv.org/abs/2008.04693.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

MEANTIME: Mixture of Attention Mechanisms with Multi-tempor..:

Cho, Sung Min ; Park, Eunhyeok ; Yoo, Sungjoo
http://arxiv.org/abs/2008.08273.  , 2020
Link: http://arxiv.org/abs/200..
 
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