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Robot Design With Neural Networks, MILP Solvers and Active Learning

Oct 19, 2020
Sanjai Narain, Emily Mak, Dana Chee, Todd Huster, Jeremy Cohen, Kishore Pochiraju, Brendan Englot, Niraj K. Jha, Karthik Narayan

* 22 pages, 8 figures 

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TUTOR: Training Neural Networks Using Decision Rules as Model Priors

Oct 13, 2020
Shayan Hassantabar, Prerit Terway, Niraj K. Jha

* 12 pages, 4 figures 

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DISPATCH: Design Space Exploration of Cyber-Physical Systems

Sep 25, 2020
Prerit Terway, Kenza Hamidouche, Niraj K. Jha

* 14 pages 

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Fully Dynamic Inference with Deep Neural Networks

Jul 29, 2020
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha


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CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks

Jul 28, 2020
Shayan Hassantabar, Novati Stefano, Vishweshwar Ghanakota, Alessandra Ferrari, Gregory N. Nicola, Raffaele Bruno, Ignazio R. Marino, Niraj K. Jha

* 11 pages, 3 figures 

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Efficient Synthesis of Compact Deep Neural Networks

Apr 18, 2020
Wenhan Xia, Hongxu Yin, Niraj K. Jha


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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

Dec 18, 2019
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz


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STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods

Dec 12, 2019
Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha

* 12 pages, 4 figures 

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DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks

Oct 11, 2019
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha


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SECRET: Semantically Enhanced Classification of Real-world Tasks

May 29, 2019
Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha

* 15 pages, 15 figures, 2 tables - IEEE Transactions on Computers - under review 

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Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks

May 27, 2019
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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SCANN: Synthesis of Compact and Accurate Neural Networks

Apr 19, 2019
Shayan Hassantabar, Zeyu Wang, Niraj K. Jha

* 11 pages, 5 figures 

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Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture

Mar 18, 2019
Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang


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Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM

Jan 30, 2019
Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha


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ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

Dec 21, 2018
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha


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NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

Jun 01, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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Grow and Prune Compact, Fast, and Accurate LSTMs

May 31, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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