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Accelerating Attention through Gradient-Based Learned Runtime Pruning



Zheng Li , Soroush Ghodrati , Amir Yazdanbakhsh , Hadi Esmaeilzadeh , Mingu Kang

* First three authors contributed equally; published at ISCA 2022 

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Conscious AI



Hadi Esmaeilzadeh , Reza Vaezi


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Privacy in Deep Learning: A Survey



Fatemehsadat Mireshghallah , Mohammadkazem Taram , Praneeth Vepakomma , Abhishek Singh , Ramesh Raskar , Hadi Esmaeilzadeh


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Bit-Parallel Vector Composability for Neural Acceleration



Soroush Ghodrati , Hardik Sharma , Cliff Young , Nam Sung Kim , Hadi Esmaeilzadeh


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A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference



Fatemehsadat Mireshghallah , Mohammadkazem Taram , Ali Jalali , Ahmed Taha Elthakeb , Dean Tullsen , Hadi Esmaeilzadeh


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Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices



Byung Hoon Ahn , Jinwon Lee , Jamie Menjay Lin , Hsin-Pai Cheng , Jilei Hou , Hadi Esmaeilzadeh

* Published as a conference paper at MLSys 2020 (Oral Presentation) 

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Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization



Ahmed T. Elthakeb , Prannoy Pilligundla , Fatemehsadat Mireshghallah , Tarek Elgindi , Charles-Alban Deledalle , Hadi Esmaeilzadeh

* Preliminary work. Under review 

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