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TRP: Trained Rank Pruning for Efficient Deep Neural Networks

Apr 30, 2020
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

* Accepted by IJCAI2020, An extension version of arXiv:1812.02402 

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Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

Apr 20, 2020
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

* In proceeding of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). To be presented at EDLCV 2020 workshop co-located with CVPR 2020 

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Neural Predictor for Neural Architecture Search

Dec 02, 2019
Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans


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Trained Rank Pruning for Efficient Deep Neural Networks

Oct 11, 2019
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

* NeurIPS-EMC2 2019 Workshop on Energy Efficient Machine Learning and Cognitive Computing. arXiv admin note: substantial text overlap with arXiv:1812.02402 

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Traned Rank Pruning for Efficient Deep Neural Networks

Oct 09, 2019
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

* NeurIPS-EMC2 2019 Workshop on Energy Efficient Machine Learning and Cognitive Computing. arXiv admin note: substantial text overlap with arXiv:1812.02402 

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Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training

Sep 25, 2019
Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li


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DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures

Aug 27, 2019
Huanrui Yang, Wei Wen, Hai Li


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Joint Pruning on Activations and Weights for Efficient Neural Networks

Jun 19, 2019
Qing Yang, Wei Wen, Zuoguan Wang, Hai Li


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AutoGrow: Automatic Layer Growing in Deep Convolutional Networks

Jun 07, 2019
Wei Wen, Feng Yan, Hai Li


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PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training

Jan 26, 2019
Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi


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Mini-batch Serialization: CNN Training with Inter-layer Data Reuse

Sep 30, 2018
Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez

* 10pages 

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SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning

Sep 01, 2018
Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Chunpeng Wu, Yiran Chen, Hai Li


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Learning Intrinsic Sparse Structures within Long Short-Term Memory

Feb 11, 2018
Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li

* Published in ICLR 2018 ( the Sixth International Conference on Learning Representations) 

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TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning

Dec 29, 2017
Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

* NIPS 2017 Oral 

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Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Jul 28, 2017
Jongsoo Park, Sheng Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey

* 12 pages, 5 figures 

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Coordinating Filters for Faster Deep Neural Networks

Jul 25, 2017
Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

* ICCV 2017 

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Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks

Jun 17, 2017
Yandan Wang, Wei Wen, Beiye Liu, Donald Chiarulli, Hai Li

* Accepted in DAC 2017 

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

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

* 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17) 

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Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses

Jan 07, 2017
Yandan Wang, Wei Wen, Linghao Song, Hai Li

* Best Paper Award of ASP-DAC 2017 

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Learning Structured Sparsity in Deep Neural Networks

Oct 18, 2016
Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

* Accepted by NIPS 2016 

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A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip

Jul 16, 2016
Wei Wen, Chunpeng Wu, Yandan Wang, Kent Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen

* 6 pages; 9 figures; DAC 2016 

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