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


Feb 29, 2020
Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Tarek Elgindi, Charles-Alban Deledalle, Hadi Esmaeilzadeh

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* Preliminary work. Under review 

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Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation


Jan 23, 2020
Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh

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* Published as a conference paper at ICLR 2020. arXiv admin note: text overlap with arXiv:1905.12799 

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Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks


Jul 24, 2019
Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh

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Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation


May 30, 2019
Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh

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SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training


May 04, 2019
Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh

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ReLeQ: An Automatic Reinforcement Learning Approach for Deep Quantization of Neural Networks


Dec 10, 2018
Amir Yazdanbakhsh, Ahmed T. Elthakeb, Prannoy Pilligundla, FatemehSadat Mireshghallah, Hadi Esmaeilzadeh

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ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks


Nov 05, 2018
Ahmed T. Elthakeb, Prannoy Pilligundla, Amir Yazdanbakhsh, Sean Kinzer, Hadi Esmaeilzadeh

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