Striving for Simplicity: The All Convolutional Net

21 December 2014

Jost Tobias Springenberg

Alexey Dosovitskiy

Thomas Brox

Martin Riedmiller

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Papers citing "Striving for Simplicity: The All Convolutional Net"

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Title
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 42 313 0 07 May 2016
Deep Residual Networks with Exponential Linear Unit Anish Shah Eashan Kadam Hena Shah Sameer Shinde Sandip Shingade 50 120 0 14 Apr 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 74 2,336 0 30 Mar 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 22 715 0 28 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures S. Targ Diogo Almeida Kevin Lyman SSeg 22 806 0 25 Mar 2016
Convolution in Convolution for Network in Network Yanwei Pang Manli Sun Xiaoheng Jiang Xuelong Li 26 167 0 22 Mar 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 40 3,038 0 18 Mar 2016
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units Wenling Shang Kihyuk Sohn Diogo Almeida Honglak Lee 24 499 0 16 Mar 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 48 10,125 0 16 Mar 2016
Cascaded Subpatch Networks for Effective CNNs Xiaoheng Jiang Yanwei Pang Manli Sun Xuelong Li 26 39 0 01 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 99 1,924 0 25 Feb 2016
Multiagent Cooperation and Competition with Deep Reinforcement Learning Ardi Tampuu Tambet Matiisen Dorian Kodelja Ilya Kuzovkin Kristjan Korjus Juhan Aru Jaan Aru Raul Vicente 39 857 0 27 Nov 2015
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters Jelena Luketina Mathias Berglund Klaus Greff T. Raiko 29 173 0 20 Nov 2015
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 40 27 0 20 Nov 2015
Learning to decompose for object detection and instance segmentation Eunbyung Park Alexander C. Berg 24 23 0 19 Nov 2015
All you need is a good init Dmytro Mishkin Jirí Matas ODL 27 604 0 19 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks Stefan Lee Senthil Purushwalkam Michael Cogswell David J. Crandall Dhruv Batra FedML UQCV 22 309 0 19 Nov 2015
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? Pooya Khorrami T. Paine Thomas S. Huang CVBM 24 267 0 10 Oct 2015
Deep Convolutional Neural Networks for Smile Recognition P. Glauner CVBM 22 38 0 26 Aug 2015
What is Holding Back Convnets for Detection? Bojan Pepik Rodrigo Benenson Tobias Ritschel Bernt Schiele ObjD 24 64 0 12 Aug 2015
Describing Multimedia Content using Attention-based Encoder--Decoder Networks Kyunghyun Cho Aaron Courville Yoshua Bengio 32 411 0 04 Jul 2015
Deep SimNets Nadav Cohen Or Sharir Amnon Shashua 32 46 0 09 Jun 2015
Inverting Visual Representations with Convolutional Networks Alexey Dosovitskiy Thomas Brox SSL FAtt 24 660 0 09 Jun 2015
Stacked What-Where Auto-encoders Jun Zhao Michaël Mathieu Ross Goroshin Yann LeCun DiffM BDL 24 258 0 08 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 91 43,015 0 11 Feb 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012