SkipNet: Learning Dynamic Routing in Convolutional Networks

26 November 2017

Papers citing "SkipNet: Learning Dynamic Routing in Convolutional Networks"

47 / 97 papers shown

Title
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting Minghai Qin Tianyun Zhang Fei Sun Yen-kuang Chen M. Fardad Yanzhi Wang Yuan Xie 27 0 0 21 Dec 2021
Boosting Mobile CNN Inference through Semantic Memory Yun Li Chen Zhang S. Han Li Lyna Zhang B. Yin Yunxin Liu Mengwei Xu ObjD 39 16 0 05 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data Samarth Mishra Rameswar Panda Cheng Perng Phoo Chun-Fu Chen Leonid Karlinsky Kate Saenko Venkatesh Saligrama Rogerio Feris 24 33 0 30 Nov 2021
TAda! Temporally-Adaptive Convolutions for Video Understanding Ziyuan Huang Shiwei Zhang Liang Pan Zhiwu Qing Mingqian Tang Ziwei Liu M. Ang 35 49 0 12 Oct 2021
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control Mingyu Yang Hun-Seok Kim 33 97 0 09 Oct 2021
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time Tian Dong Han Qiu Tianwei Zhang Jiwei Li Hewu Li Jialiang Lu AAML 31 8 0 07 Oct 2021
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better Xuanyang Zhang X. Zhang Jian-jun Sun 23 1 0 26 Sep 2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training Bohong Chen Mingbao Lin Rongrong Ji Liujuan Cao 19 2 0 12 Sep 2021
IA-RED $^2$ : Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan Rameswar Panda Yifan Jiang Zhangyang Wang Rogerio Feris A. Oliva VLM ViT 39 153 0 23 Jun 2021
Graceful Degradation and Related Fields J. Dymond 23 4 0 21 Jun 2021
Collaborative Training of Acoustic Encoders for Speech Recognition Varun K. Nagaraja Yangyang Shi Ganesh Venkatesh Ozlem Kalinli M. Seltzer Vikas Chandra 32 11 0 16 Jun 2021
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation Hui Jiang Chulun Zhou Fandong Meng Biao Zhang Jie Zhou Degen Huang Qingqiang Wu Jinsong Su 19 20 0 01 Jun 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 25 35 0 19 May 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition Rameswar Panda Chun-Fu Chen Quanfu Fan Ximeng Sun Kate Saenko A. Oliva Rogerio Feris 28 47 0 11 May 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Min Li Yu Li Ye Tian Li Jiang Qiang Xu 28 33 0 10 May 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference Mingda Zhang Chun-Te Chu A. Zhmoginov Andrew G. Howard Brendan Jou Yukun Zhu Li Zhang R. Hwa Adriana Kovashka 3DH 20 7 0 07 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 18 114 0 30 Apr 2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks Yonggan Fu Zhongzhi Yu Yongan Zhang Yifan Jiang Chaojian Li Yongyuan Liang Mingchao Jiang Zhangyang Wang Yingyan Lin 20 3 0 22 Apr 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models Qing Jin Jian Ren Oliver J. Woodford Jiazhuo Wang Geng Yuan Yanzhi Wang Sergey Tulyakov 31 54 0 05 Mar 2021
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
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 32 212 0 08 Feb 2021
Accelerating Deep Learning Inference via Learned Caches Arjun Balasubramanian Adarsh Kumar Yuhan Liu Han Cao Shivaram Venkataraman Aditya Akella 22 17 0 18 Jan 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Y. Fu Haoran You Yang Katie Zhao Yue Wang Chaojian Li K. Gopalakrishnan Zhangyang Wang Yingyan Lin MQ 30 32 0 24 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 42 116 0 25 Nov 2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs Yunsheng Li Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Lu Yuan Zicheng Liu Lei Zhang Nuno Vasconcelos 25 25 0 24 Nov 2020
PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park Shuo Li Insup Lee Osbert Bastani UQCV 8 25 0 02 Nov 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 11 57 0 07 Oct 2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks Kun Yuan Quanquan Li Dapeng Chen Aojun Zhou Junjie Yan GNN 15 1 0 02 Oct 2020
WeightNet: Revisiting the Design Space of Weight Networks Ningning Ma X. Zhang Jiawei Huang Jian-jun Sun 11 106 0 23 Jul 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 21 7 0 24 Apr 2020
The Right Tool for the Job: Matching Model and Instance Complexities Roy Schwartz Gabriel Stanovsky Swabha Swayamdipta Jesse Dodge Noah A. Smith 33 167 0 16 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning Davide Abati Jakub M. Tomczak Tijmen Blankevoort Simone Calderara Rita Cucchiara B. Bejnordi CLL 28 184 0 31 Mar 2020
Learning Dynamic Routing for Semantic Segmentation Yanwei Li Lin Song Yukang Chen Zeming Li X. Zhang Xingang Wang Jian-jun Sun SSeg 83 163 0 23 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
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 11 66 0 01 Mar 2020
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 22 393 0 27 Feb 2020
Accelerating Deep Learning Inference via Freezing Adarsh Kumar Arjun Balasubramanian Shivaram Venkataraman Aditya Akella AI4CE 18 22 0 07 Feb 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 14 13 0 02 Jan 2020
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers T. Nguyen Animesh Garg Richard G. Baraniuk Anima Anandkumar TPM 15 9 0 09 Dec 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 19 30 0 16 Nov 2019
Depth-Adaptive Transformer Maha Elbayad Jiatao Gu Edouard Grave Michael Auli 16 188 0 22 Oct 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 17 584 0 25 Sep 2019
Interpretable Neural Network Decoupling Yuchao Li R. Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 21 2 0 04 Jun 2019
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 14 41 0 15 May 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 22 19 0 03 Apr 2019
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 8 1,449 0 11 Oct 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition Chun-Fu Chen Quanfu Fan Neil Rohit Mallinar Tom Sercu Rogerio Feris 17 96 0 10 Jul 2018