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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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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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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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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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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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