BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

6 September 2017

Surat Teerapittayanon

Papers citing "BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks"

50 / 251 papers shown

Title
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing Mao V. Ngo H. Chaouchi Tie-Mei Luo Tony Q.S. Quek 60 17 0 10 Jan 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference Jianghao Shen Y. Fu Yue Wang Pengfei Xu Zhangyang Wang Yingyan Lin MQ 60 45 0 03 Jan 2020
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference Thomas Verelst Tinne Tuytelaars 78 153 0 06 Dec 2019
Fast Intent Classification for Spoken Language Understanding Akshit Tyagi V. Sharma Rahul Gupta L. Samson Nan Zhuang Zihang Wang Bill Campbell 48 8 0 03 Dec 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition Zuxuan Wu Caiming Xiong Yu-Gang Jiang L. Davis 89 110 0 03 Dec 2019
Survey of Attacks and Defenses on Edge-Deployed Neural Networks Mihailo Isakov V. Gadepally K. Gettings Michel A. Kinsy AAML 51 31 0 27 Nov 2019
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks Yunteng Luan Hanyu Zhao Zhi-Xin Yang Yafei Dai 75 23 0 21 Nov 2019
Any-Precision Deep Neural Networks Haichao Yu Haoxiang Li Humphrey Shi Thomas S. Huang G. Hua MQ 93 65 0 17 Nov 2019
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search Zhihang Yuan Bingzhe Wu Zheng Liang Shiwan Zhao Weichen Bi Guangyu Sun 75 30 0 16 Nov 2019
ALERT: Accurate Learning for Energy and Timeliness Chengcheng Wan M. Santriaji E. Rogers H. Hoffmann Michael Maire Shan Lu AI4CE 101 42 0 31 Oct 2019
Neural Network Distiller: A Python Package For DNN Compression Research Neta Zmora Guy Jacob Lev Zlotnik Bar Elharar Gal Novik 58 74 0 27 Oct 2019
Depth-Adaptive Transformer Maha Elbayad Jiatao Gu Edouard Grave Michael Auli 92 194 0 22 Oct 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 76 633 0 04 Oct 2019
SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge Pooya Khandel Amir Hossein Rassafi Niels Justesen S. Risi Julian Togelius 23 1 0 03 Oct 2019
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods S. Vargaftik I. Keslassy A. Orda Y. Ben-Itzhak 43 18 0 26 Sep 2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA Mohammad Farhadi Mehdi Ghasemi Yezhou Yang 58 27 0 05 Sep 2019
ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients Xukan Ran Rakesh Kumar Pengcheng Wang Peter Bai Ganga Meghanath Somali Chaterji Subrata Mitra Saurabh Bagchi 65 19 0 28 Aug 2019
Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices Peter M. VanNostrand Ioannis Kyriazis Michelle Cheng Tian Guo R. Walls FedML 31 29 0 28 Aug 2019
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors Royson Lee Stylianos I. Venieris Łukasz Dudziak S. Bhattacharya Nicholas D. Lane SupR 56 96 0 21 Aug 2019
Improved Techniques for Training Adaptive Deep Networks Hao Li Hong Zhang Xiaojuan Qi Ruigang Yang Gao Huang 76 134 0 17 Aug 2019
Network with Sub-Networks Ninnart Fuengfusin H. Tamukoh 19 3 0 02 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 94 392 0 31 Jul 2019
Learning Instance-wise Sparsity for Accelerating Deep Models Chuanjian Liu Yunhe Wang Kai Han Chunjing Xu Chang Xu 75 27 0 27 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 104 1,006 0 19 Jul 2019
Batch-Shaping for Learning Conditional Channel Gated Networks B. Bejnordi Tijmen Blankevoort Max Welling AI4CE 92 77 0 15 Jul 2019
Agile Domain Adaptation Jingjing Li Mengmeng Jing Yue Xie Ke Lu Zi Huang 30 3 0 11 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference Yue Wang Jianghao Shen Ting-Kuei Hu Pengfei Xu T. Nguyen Richard Baraniuk Zhangyang Wang Yingyan Lin 91 77 0 10 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 56 29 0 29 Jun 2019
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers Matthew Halpern Behzad Boroujerdian Todd W. Mummert Evelyn Duesterwald Vijay Janapa Reddi 44 25 0 26 Jun 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 120 1,451 0 24 May 2019
High Frequency Residual Learning for Multi-Scale Image Classification Bowen Cheng Rong Xiao Jianfeng Wang Thomas Huang Lei Zhang 82 22 0 07 May 2019
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars Alexandros Kouris Stylianos I. Venieris Michail Rizakis C. Bouganis AI4TS 44 12 0 02 May 2019
Salient Object Detection in the Deep Learning Era: An In-Depth Survey Wenguan Wang Qiuxia Lai Huazhu Fu Jianbing Shen Haibin Ling Ruigang Yang 102 616 0 19 Apr 2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection Golnaz Ghiasi Nayeon Lee Ruoming Pang Quoc V. Le ObjD 75 1,406 0 16 Apr 2019
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 56 3 0 11 Dec 2018
AdaFrame: Adaptive Frame Selection for Fast Video Recognition Zuxuan Wu Caiming Xiong Chih-Yao Ma R. Socher L. Davis 205 202 0 29 Nov 2018
Elastic Neural Networks for Classification Yi Zhou Yue Bai Shuvra S. Bhattacharyya H. Huttunen 35 12 0 01 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 20 4 0 18 Sep 2018
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy Boyuan Feng Kun Wan Shu Yang Yufei Ding 86 4 0 07 Sep 2018
Conditional Information Gain Networks Ufuk Can Biçici Cem Keskin L. Akarun 50 9 0 25 Jul 2018
Adaptive Neural Trees Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 428 169 0 17 Jul 2018
Anytime Neural Prediction via Slicing Networks Vertically Hankook Lee Jinwoo Shin AI4CE 62 16 0 07 Jul 2018
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy En Li Zhi Zhou Xu Chen 84 332 0 20 Jun 2018
The streaming rollout of deep networks - towards fully model-parallel execution Volker Fischer Jan M. Köhler Thomas Pfeil 71 16 0 13 Jun 2018
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 111 385 0 30 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 154 640 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 102 470 0 22 Nov 2017
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices Surat Teerapittayanon Bradley McDanel H. T. Kung FedML 106 717 0 06 Sep 2017
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors Hong-Yu Zhou Bin-Bin Gao Jianxin Wu ObjD 81 29 0 20 Jul 2017
Spatially Adaptive Computation Time for Residual Networks Michael Figurnov Maxwell D. Collins Yukun Zhu Li Zhang Jonathan Huang Dmitry Vetrov Ruslan Salakhutdinov 75 351 0 07 Dec 2016