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Tariq Afzal

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Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution

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Jan 26, 2024
Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal

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MRQ:Support Multiple Quantization Schemes through Model Re-Quantization

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Aug 04, 2023
Manasa Manohara, Sankalp Dayal, Tariq Afzal, Rahul Bakshi, Kahkuen Fu

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Accelerator-Aware Training for Transducer-Based Speech Recognition

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May 12, 2023
Suhaila M. Shakiah, Rupak Vignesh Swaminathan, Hieu Duy Nguyen, Raviteja Chinta, Tariq Afzal, Nathan Susanj, Athanasios Mouchtaris, Grant P. Strimel, Ariya Rastrow

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Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition

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Jun 30, 2022
Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow

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A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation

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Apr 03, 2017
Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li

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