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Collapsible Linear Blocks for Super-Efficient Super Resolution


Mar 17, 2021
Kartikeya Bhardwaj, Milos Milosavljevic, Alex Chalfin, Naveen Suda, Liam O'Neil, Dibakar Gope, Lingchuan Meng, Ramon Matas, Danny Loh


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EdgeAI: A Vision for Deep Learning in IoT Era


Oct 23, 2019
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu

* To appear in IEEE Design and Test 

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Dream Distillation: A Data-Independent Model Compression Framework


May 17, 2019
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu

* Presented at the ICML 2019 Joint Workshop on On-Device Machine Learning & Compact Deep Neural Network Representations (ODML-CDNNR) 

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Rethinking Machine Learning Development and Deployment for Edge Devices


Jun 20, 2018
Liangzhen Lai, Naveen Suda


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Federated Learning with Non-IID Data


Jun 02, 2018
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra


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Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks


May 30, 2018
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh


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Hello Edge: Keyword Spotting on Microcontrollers


Feb 14, 2018
Yundong Zhang, Naveen Suda, Liangzhen Lai, Vikas Chandra

* Code available in github at https://github.com/ARM-software/ML-KWS-for-MCU 

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Not All Ops Are Created Equal!


Jan 29, 2018
Liangzhen Lai, Naveen Suda, Vikas Chandra

* Accepted at SysML Conference 2018 

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CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs


Jan 19, 2018
Liangzhen Lai, Naveen Suda, Vikas Chandra


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PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training


Jan 12, 2018
Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan

* 20 pages, 25 figures 

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Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations


Mar 08, 2017
Liangzhen Lai, Naveen Suda, Vikas Chandra


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