Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels

26 August 2019

Sebastien Ourselin

Papers citing "Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels"

36 / 36 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 113 5 0 28 Jan 2025
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 184 31 0 17 Jun 2020
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger ... Jakob Wasserthal Gregor Koehler T. Norajitra Sebastian J. Wirkert Klaus H. Maier-Hein SSeg 93 789 0 27 Sep 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 103 21 0 20 Jun 2018
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning Felix J. S. Bragman Ryutaro Tanno Zach Eaton-Rosen Wenqi Li D. Hawkes Sebastien Ourselin Daniel C. Alexander J. McClelland M. Jorge Cardoso UQCV 58 50 0 18 Jun 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,221 0 23 Apr 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 80 121 0 10 Mar 2018
CondenseNet: An Efficient DenseNet using Learned Group Convolutions Gao Huang Shichen Liu Laurens van der Maaten Kilian Q. Weinberger 102 798 0 25 Nov 2017
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning Clemens Rosenbaum Tim Klinger Matthew D Riemer 84 247 0 03 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson Risto Miikkulainen MoE 79 93 0 31 Oct 2017
NiftyNet: a deep-learning platform for medical imaging Eli Gibson Wenqi Li Carole Sudre Lucas Fidon D. I. Shakir ... Marc Modat D. Barratt Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren 78 549 0 11 Sep 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task Wenqi Li Guotai Wang Lucas Fidon Sebastien Ourselin M. Jorge Cardoso Tom Vercauteren 3DV 100 339 0 06 Jul 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 179 593 0 22 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,135 0 19 May 2017
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities P. Moeskops J. Wolterink Bas H. M. van der Velden K. Gilhuijs T. Leiner M. Viergever Ivana Išgum SSeg 57 314 0 11 Apr 2017
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 79 1,118 0 27 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Y. Lu Abhishek Kumar Shuangfei Zhai Yu Cheng T. Javidi Rogerio Feris 3DH 65 388 0 16 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 349 5,379 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 198 2,537 0 02 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 142 677 0 07 Sep 2016
Integrated perception with recurrent multi-task neural networks Hakan Bilen Andrea Vedaldi ObjD 83 94 0 06 Jun 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups Yani Andrew Ioannou D. Robertson R. Cipolla A. Criminisi 80 265 0 20 May 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 100 1,351 0 12 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition Brendan Jou Shih-Fu Chang ObjD 66 91 0 05 Apr 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition Rajeev Ranjan Vishal M. Patel Rama Chellappa CVBM 3DH 101 3 0 03 Mar 2016
Learning Multiple Tasks with Multilinear Relationship Networks Mingsheng Long Zhangjie Cao Jianmin Wang Philip S. Yu 76 98 0 06 Jun 2015
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network Junshi Huang Rogerio Feris Qiang Chen Shuicheng Yan 60 414 0 29 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 338 18,651 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,683 0 18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 155 5,008 0 21 Dec 2013
Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob Francis R. Bach Jean-Philippe Vert 119 510 0 11 Sep 2008