Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

On-chip training of recurrent neural networks with limited numerical precision.

T. Na, J. Ko, J. Kung, and S. Mukhopadhyay. IJCNN, page 3716-3723. IEEE, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jong-Hwan Ko

Jong Hwan Hwang

Byung Kook Hwang

Kyung-Yub Hwang

Giin-Tarng Hwang

Other publications of authors with the same name

Cascade Adversarial Machine Learning Regularized with a Unified Embedding.T. Na, J. Ko, and S. Mukhopadhyay. CoRR, (2017)A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array.J. Ko, M. Amir, K. Ahmed, T. Na, and S. Mukhopadhyay. IEEE Trans. Circuits Syst. I Regul. Pap., 64-I (9): 2295-2307 (2017)An Energy-Efficient Wireless Video Sensor Node for Moving Object Surveillance.J. Ko, B. Mudassar, and S. Mukhopadhyay. IEEE Trans. Multi Scale Comput. Syst., 1 (1): 7-18 (2015)Reconfigurable 96×128 active pixel sensor with 2.1µW/mm2 power generation and regulated multi-domain power delivery for self-powered imaging.K. Ahmed, M. Amir, J. Ko, and S. Mukhopadhyay. ESSCIRC, page 507-510. IEEE, (2016)Cascade Adversarial Machine Learning Regularized with a Unified Embedding.T. Na, J. Ko, and S. Mukhopadhyay. ICLR (Poster), OpenReview.net, (2018)CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control.B. Mudassar, P. Saha, Y. Long, M. Amir, E. Gebhardt, T. Na, J. Ko, M. Wolf, and S. Mukhopadhyay. IEEE J. Emerg. Sel. Topics Circuits Syst., 9 (3): 498-508 (2019)Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance.B. Mudassar, J. Ko, and S. Mukhopadhyay. DAC, page 146:1-146:6. ACM, (2018)Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU.H. Jin, D. Jeong, T. Park, J. Ko, and J. Kim. IEEE Comput. Archit. Lett., 21 (2): 37-40 (2022)VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels.J. Rhe, S. Moon, and J. Ko. IEEE J. Emerg. Sel. Topics Circuits Syst., 12 (2): 408-421 (2022)Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things.J. Park, J. Kim, and J. Ko. Sensors, 21 (3): 896 (2021)

BibSonomy

Disambiguation of "Ko, Jong Hwan"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

On-chip training of recurrent neural networks with limited numerical precision.

Please choose a person to relate this publication to

Jong-Hwan Ko

Jong Hwan Hwang

Byung Kook Hwang

Kyung-Yub Hwang

Giin-Tarng Hwang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ko, Jong Hwan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On-chip training of recurrent neural networks with limited numerical precision.

Please choose a person to relate this publication to

Jong-Hwan Ko

Jong Hwan Hwang

Byung Kook Hwang

Kyung-Yub Hwang

Giin-Tarng Hwang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

On-chip training of recurrent neural networks with limited numerical precision.