Ahmed T. Elthakeb
According to our database1,
Ahmed T. Elthakeb
authored at least 10 papers
between 2014 and 2021.
Collaborative distances:
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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
CoRR, 2018
2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
2014
Proceedings of the 26th International Conference on Microelectronics, 2014