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Gradient-based Bit Encoding Optimization for Noise-Robust Binary
  Memristive Crossbar

Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar

Design, Automation and Test in Europe (DATE), 2022
5 January 2022
Youngeun Kim
Hyunsoo Kim
Seijoon Kim
Sang Joon Kim
Priyadarshini Panda
    MQ
ArXiv (abs)PDFHTMLGithub

Papers citing "Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar"

2 / 2 papers shown
Efficient and Reliable Vector Similarity Search Using Asymmetric
  Encoding with NAND-Flash for Many-Class Few-Shot Learning
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot LearningAsia and South Pacific Design Automation Conference (ASP-DAC), 2024
Hao-Wei Chiang
Chi-Tse Huang
Hsiang-Yun Cheng
P. Tseng
Ming-Hsiu Lee
An-Yeu
Wu
205
3
0
12 Sep 2024
Examining the Robustness of Spiking Neural Networks on Non-ideal
  Memristive Crossbars
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive CrossbarsInternational Symposium on Low Power Electronics and Design (ISLPED), 2022
Abhiroop Bhattacharjee
Youngeun Kim
Abhishek Moitra
Priyadarshini Panda
173
25
0
20 Jun 2022
1
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