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Chenchen Liu | Liang Zhao | Zhuwei Qin | Xiang Chen | Fuxun Yu | Fuxun Yu | Liang Zhao | Xiang Chen | Chenchen Liu | Zhuwei Qin
[1] Ping Liu,et al. Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[3] Jianxin Wu,et al. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Bolei Zhou,et al. Revisiting the Importance of Individual Units in CNNs via Ablation , 2018, ArXiv.
[5] Yiran Chen,et al. Learning Structured Sparsity in Deep Neural Networks , 2016, NIPS.
[6] Rui Peng,et al. Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures , 2016, ArXiv.
[7] Chenchen Liu,et al. How convolutional neural networks see the world - A survey of convolutional neural network visualization methods , 2018, Math. Found. Comput..
[8] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[9] Larry S. Davis,et al. NISP: Pruning Networks Using Neuron Importance Score Propagation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] Yi Yang,et al. Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks , 2018, IJCAI.
[11] Timo Aila,et al. Pruning Convolutional Neural Networks for Resource Efficient Inference , 2016, ICLR.
[12] Xiangyang Xue,et al. SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners , 2018, ArXiv.
[13] Davide Modolo,et al. Do Semantic Parts Emerge in Convolutional Neural Networks? , 2016, International Journal of Computer Vision.
[14] Max Welling,et al. Learning Sparse Neural Networks through L0 Regularization , 2017, ICLR.
[15] Andrew Zisserman,et al. Speeding up Convolutional Neural Networks with Low Rank Expansions , 2014, BMVC.
[16] Bolei Zhou,et al. Object Detectors Emerge in Deep Scene CNNs , 2014, ICLR.
[17] Song Han,et al. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding , 2015, ICLR.
[18] Suya You,et al. Learning to Prune Filters in Convolutional Neural Networks , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[19] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Mingjie Sun,et al. Rethinking the Value of Network Pruning , 2018, ICLR.
[21] Bolei Zhou,et al. Learning Deep Features for Discriminative Localization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Chenchen Liu,et al. CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications , 2019, ASP-DAC.
[23] Fengda Zhu,et al. Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[25] Hod Lipson,et al. Understanding Neural Networks Through Deep Visualization , 2015, ArXiv.
[26] Andrea Vedaldi,et al. Understanding deep image representations by inverting them , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Xiangyu Zhang,et al. Channel Pruning for Accelerating Very Deep Neural Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[28] Lior Wolf,et al. Channel-Level Acceleration of Deep Face Representations , 2015, IEEE Access.
[29] Yi Yang,et al. Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[31] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[32] James Zijun Wang,et al. Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers , 2018, ICLR.
[33] Song Han,et al. Learning both Weights and Connections for Efficient Neural Network , 2015, NIPS.
[34] Hanan Samet,et al. Pruning Filters for Efficient ConvNets , 2016, ICLR.