Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference

10 July 2019

Yue Wang

Richard Baraniuk

Papers citing "Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference"

34 / 34 papers shown

Title
Leveraging Stochastic Depth Training for Adaptive Inference Guilherme Korol Antonio Carlos Schneider Beck Jeronimo Castrillon 175 0 0 23 May 2025
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 93 3 0 25 Mar 2024
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 88 14 0 11 Sep 2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks Yonggan Fu Zhongzhi Yu Yongan Zhang Yi Ding Chaojian Li Yongyuan Liang Mingchao Jiang Zhangyang Wang Yingyan Lin 60 3 0 22 Apr 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark Chaojian Li Zhongzhi Yu Yonggan Fu Yongan Zhang Yang Zhao Haoran You Qixuan Yu Yue Wang Yingyan Lin 104 110 0 19 Mar 2021
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images Wuyang Chen Ziyu Jiang Zhangyang Wang Kexin Cui Xiaoning Qian 67 152 0 15 May 2019
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 75 552 0 21 Dec 2018
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices Xiaofang Xu M. Park C. Brick 47 26 0 01 Nov 2018
Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu Yue Wang Zhenyu Wu Zhangyang Wang Ashok Veeraraghavan Yingyan Lin 42 115 0 24 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 409 5,103 0 19 Jun 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe Lin Jianmin Wang 69 408 0 01 Feb 2018
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 93 385 0 30 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 101 636 0 26 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 87 466 0 22 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 72 1,095 0 23 Oct 2017
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach Bowen Cheng Zhangyang Wang Zhaobin Zhang Zhu Li Ding Liu Jianchao Yang Shuai Huang Thomas S. Huang 56 29 0 10 Sep 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks Surat Teerapittayanon Bradley McDanel H. T. Kung UQCV 97 1,140 0 06 Sep 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 122 2,420 0 22 Aug 2017
Deep Layer Aggregation Feng Yu Dequan Wang Evan Shelhamer Trevor Darrell AI4CE FAtt 144 1,328 0 20 Jul 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 55 1,760 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 199 2,524 0 19 Jul 2017
One Model To Learn Them All Lukasz Kaiser Aidan Gomez Noam M. Shazeer Ashish Vaswani Niki Parmar Llion Jones Jakob Uszkoreit VLM ViT 77 334 0 16 Jun 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 48 288 0 25 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 177 4,359 0 20 Mar 2017
Spatially Adaptive Computation Time for Residual Networks Michael Figurnov Maxwell D. Collins Yukun Zhu Li Zhang Jonathan Huang Dmitry Vetrov Ruslan Salakhutdinov 64 348 0 07 Dec 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 190 3,696 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 766 36,794 0 25 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 176 2,337 0 12 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 150 7,482 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 253 8,833 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 310 6,672 0 08 Jun 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 457 43,649 0 17 Sep 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,186 0 11 Nov 2013