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HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark

Mar 19, 2021
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin

* Accepted at ICLR 2021 (Spotlight) 

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CPT: Efficient Deep Neural Network Training via Cyclic Precision

Jan 25, 2021
Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin

* Accepted at ICLR 2021 (Spotlight) 

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SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training

Jan 04, 2021
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

* arXiv admin note: substantial text overlap with arXiv:2005.03403 

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Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search

Dec 25, 2020
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin

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FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training

Dec 24, 2020
Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

* Accepted at NeurIPS 2020 

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DNA: Differentiable Network-Accelerator Co-Search

Oct 28, 2020
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin

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AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks

Jul 06, 2020
Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

* Accepted at ICML2020 

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SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

May 08, 2020
Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin

* Accepted by 47th International Symposium on Computer Architecture (ISCA'2020) 

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Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

Jan 03, 2020
Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin

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Drawing early-bird tickets: Towards more efficient training of deep networks

Sep 26, 2019
Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk

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