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"

33 / 133 papers shown

Title
VA-RED $^2$ : Video Adaptive Redundancy Reduction Bowen Pan Rameswar Panda Camilo Luciano Fosco Chung-Ching Lin A. Andonian Yue Meng Kate Saenko A. Oliva Rogerio Feris 15 19 0 15 Feb 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 65 29 0 02 Feb 2021
NetCut: Real-Time DNN Inference Using Layer Removal Mehrshad Zandigohar Deniz Erdogmus G. Schirner 15 5 0 13 Jan 2021
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park Shuo Li Insup Lee Osbert Bastani UQCV 24 25 0 02 Nov 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 25 170 0 05 Oct 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud Stefanos Laskaridis Stylianos I. Venieris Mario Almeida Ilias Leontiadis Nicholas D. Lane 28 265 0 14 Aug 2020
HAPI: Hardware-Aware Progressive Inference Stefanos Laskaridis Stylianos I. Venieris Hyeji Kim Nicholas D. Lane 14 45 0 10 Aug 2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference Ji Xin Raphael Tang Jaejun Lee Yaoliang Yu Jimmy J. Lin 6 363 0 27 Apr 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 29 7 0 24 Apr 2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time Weijie Liu Peng Zhou Zhe Zhao Zhiruo Wang Haotang Deng Qi Ju 31 354 0 05 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020
Resolution Adaptive Networks for Efficient Inference Le Yang Yizeng Han Xi Chen Shiji Song Jifeng Dai Gao Huang 16 215 0 16 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows G. Yoo H. Owhadi 22 21 0 19 Feb 2020
Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents Mayank Agarwal Jorge J. Barroso Tathagata Chakraborti Eli M. Dow Kshitij P. Fadnis Borja Godoy Madhavan Pallan Kartik Talamadupula 14 8 0 31 Jan 2020
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing Mao V. Ngo H. Chaouchi Tie-Mei Luo Tony Q. S. Quek 19 16 0 10 Jan 2020
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search Zhihang Yuan Bingzhe Wu Zheng Liang Shiwan Zhao Weichen Bi Guangyu Sun 25 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 32 40 0 31 Oct 2019
Depth-Adaptive Transformer Maha Elbayad Jiatao Gu Edouard Grave Michael Auli 19 188 0 22 Oct 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 4 614 0 04 Oct 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 30 378 0 31 Jul 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 19 1,418 0 24 May 2019
High Frequency Residual Learning for Multi-Scale Image Classification Bowen Cheng Rong Xiao Jianfeng Wang Thomas Huang Lei Zhang 26 21 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 11 12 0 02 May 2019
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 16 4 0 18 Sep 2018
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy Boyuan Feng Kun Wan Shu Yang Yufei Ding 25 4 0 07 Sep 2018
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy En Li Zhi Zhou Xu Chen 14 325 0 20 Jun 2018
The streaming rollout of deep networks - towards fully model-parallel execution Volker Fischer Jan M. Köhler Thomas Pfeil 19 16 0 13 Jun 2018
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 19 382 0 30 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang F. I. F. Richard Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 25 625 0 26 Nov 2017
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors Hong-Yu Zhou Bin-Bin Gao Jianxin Wu ObjD 40 28 0 20 Jul 2017
Hard-Aware Deeply Cascaded Embedding Yuhui Yuan Kuiyuan Yang Chao Zhang 30 300 0 17 Nov 2016