Deep Elastic Networks with Model Selection for Multi-Task Learning

11 September 2019

Papers citing "Deep Elastic Networks with Model Selection for Multi-Task Learning"

27 / 27 papers shown

Title
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection Jiaqing Zhang Mingxiang Cao Weiying Xie Jie Lei Daixun Li Wenbo Huang Yunsong Li Xue Yang 88 5 0 28 Jan 2025
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks Eunwoo Kim Chanho Ahn Philip Torr Songhwai Oh 39 12 0 09 Apr 2019
MaskConnect: Connectivity Learning by Gradient Descent Karim Ahmed Lorenzo Torresani 49 49 0 28 Jul 2018
A novel channel pruning method for deep neural network compression Yiming Hu Siyang Sun Jianquan Li Xingang Wang Qingyi Gu 37 67 0 29 May 2018
Multi-Task Zipping via Layer-wise Neuron Sharing Xiaoxi He Zimu Zhou Lothar Thiele MoMe 37 62 0 24 May 2018
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 90 383 0 30 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 84 463 0 22 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 103 1,289 0 15 Nov 2017
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning Clemens Rosenbaum Tim Klinger Matthew D Riemer 74 242 0 03 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson Risto Miikkulainen MoE 61 93 0 31 Oct 2017
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning A. Ashok Nicholas Rhinehart Fares N. Beainy Kris Kitani 48 170 0 18 Sep 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,747 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 456 10,281 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 408 5,362 0 05 Nov 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 133 2,331 0 12 Aug 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 356 18,300 0 27 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 281 7,951 0 23 May 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 79 1,339 0 12 Apr 2016
Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell Kaiyu Yang Jia Deng 3DH 111 5,017 0 22 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 269 6,628 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 286 19,523 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 252 3,862 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 107 12,163 0 19 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 172 4,946 0 06 Oct 2013