Ahmed T. Elthakeb

According to our database1, Ahmed T. Elthakeb authored at least 10 papers between 2014 and 2021.

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Bibliography

2021
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks.
IEEE Micro, 2020

A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference.
CoRR, 2020

Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.
CoRR, 2020

Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks.
CoRR, 2019

SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training.
CoRR, 2019

2018
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks.
CoRR, 2018

2015
Analysis and optimization for dynamic read stability in 28nm SRAM bitcells.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
Performance evaluation of finFET based SRAM under statistical VT variability.
Proceedings of the 26th International Conference on Microelectronics, 2014


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