Improving neural networks by preventing co-adaptation of feature detectors

3 July 2012

Papers citing "Improving neural networks by preventing co-adaptation of feature detectors"

50 / 1,729 papers shown

Title
A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom 116 3,563 0 08 Apr 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 190 1,695 0 02 Apr 2014
Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition Marius Leordeanu Rahul Sukthankar 87 7 0 02 Apr 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features Yunchao Gong Liwei Wang Ruiqi Guo Svetlana Lazebnik 188 1,091 0 07 Mar 2014
Marginalizing Corrupted Features Laurens van der Maaten Minmin Chen Stephen Tyree Kilian Q. Weinberger 80 7 0 27 Feb 2014
Exploiting the Statistics of Learning and Inference Max Welling 63 5 0 26 Feb 2014
Avoiding pathologies in very deep networks David Duvenaud Oren Rippel Ryan P. Adams Zoubin Ghahramani ODL BDL 157 159 0 24 Feb 2014
Dropout Rademacher Complexity of Deep Neural Networks Wei Gao Zhi Zhou 108 69 0 16 Feb 2014
Zero-bias autoencoders and the benefits of co-adapting features K. Konda Roland Memisevic David M. Krueger AI4CE 121 92 0 13 Feb 2014
Input Warping for Bayesian Optimization of Non-stationary Functions Jasper Snoek Kevin Swersky R. Zemel Ryan P. Adams 129 239 0 05 Feb 2014
Learning Ordered Representations with Nested Dropout Oren Rippel M. Gelbart Ryan P. Adams SSL 135 89 0 05 Feb 2014
Scene Labeling with Contextual Hierarchical Models Mojtaba Seyedhosseini Tolga Tasdizen 53 6 0 04 Feb 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling BDL 133 61 0 03 Feb 2014
Learning Human Pose Estimation Features with Convolutional Networks Arjun Jain Jonathan Tompson Mykhaylo Andriluka Graham W. Taylor C. Bregler SSL 3DH 118 214 0 27 Dec 2013
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 164 5,011 0 21 Dec 2013
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 165 1,459 0 21 Dec 2013
An empirical analysis of dropout in piecewise linear networks David Warde-Farley Ian Goodfellow Aaron Courville Yoshua Bengio 131 107 0 21 Dec 2013
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training T. Paine Hailin Jin Jianchao Yang Zhe Lin Thomas Huang 119 98 0 21 Dec 2013
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 201 2,120 0 21 Dec 2013
Learned versus Hand-Designed Feature Representations for 3d Agglomeration J. Bogovic Gary B. Huang Viren Jain 3DV 3DPC SSL 94 16 0 20 Dec 2013
Improving Deep Neural Networks with Probabilistic Maxout Units Jost Tobias Springenberg Martin Riedmiller BDL OOD 230 101 0 20 Dec 2013
On the number of response regions of deep feed forward networks with piece-wise linear activations Razvan Pascanu Guido Montúfar Yoshua Bengio FAtt 129 257 0 20 Dec 2013
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks Ian Goodfellow Yaroslav Bulatov Julian Ibarz Sacha Arnoud Vinay D. Shet 148 721 0 20 Dec 2013
Unit Tests for Stochastic Optimization Tom Schaul Ioannis Antonoglou David Silver 97 91 0 20 Dec 2013
Zero-Shot Learning for Semantic Utterance Classification Yann N. Dauphin Gokhan Tur Dilek Z. Hakkani-Tür Larry Heck 154 41 0 20 Dec 2013
How to Construct Deep Recurrent Neural Networks Razvan Pascanu Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 215 1,011 0 20 Dec 2013
Deep learning for neuroimaging: a validation study Sergey Plis R. Devon Hjelm Ruslan Salakhutdinov Vince D. Calhoun AI4CE 147 574 0 20 Dec 2013
Using Web Co-occurrence Statistics for Improving Image Categorization Samy Bengio J. Dean D. Erhan Eugene Ie Quoc V. Le Andrew Rabinovich Jonathon Shlens Y. Singer 89 20 0 19 Dec 2013
k-Sparse Autoencoders Alireza Makhzani Brendan J. Frey 117 459 0 19 Dec 2013
Large-scale Multi-label Text Classification - Revisiting Neural Networks Jinseok Nam Jungi Kim E. Mencía Iryna Gurevych Johannes Furnkranz 134 365 0 19 Dec 2013
Some Improvements on Deep Convolutional Neural Network Based Image Classification Andrew G. Howard VLM 141 436 0 19 Dec 2013
Continuous Learning: Engineering Super Features With Feature Algebras Michael Tetelman 45 1 0 19 Dec 2013
On the Challenges of Physical Implementations of RBMs Vincent Dumoulin Ian Goodfellow Aaron Courville Yoshua Bengio AI4CE 95 60 0 18 Dec 2013
Deep Convolutional Ranking for Multilabel Image Annotation Yunchao Gong Yangqing Jia Thomas Leung Alexander Toshev Sergey Ioffe VLM 160 433 0 17 Dec 2013
Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data Yalong Bai Kuiyuan Yang Wei Yu Wei-Ying Ma Tiejun Zhao 3DV 42 12 0 17 Dec 2013
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks Andrew S. Davis I. Arel 107 81 0 16 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 314 6,291 0 16 Dec 2013
Understanding Deep Architectures using a Recursive Convolutional Network David Eigen J. Rolfe Rob Fergus Yann LeCun AI4CE FAtt 111 146 0 06 Dec 2013
From Maxout to Channel-Out: Encoding Information on Sparse Pathways Qi Wang Joseph Jaja BDL 82 14 0 18 Nov 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 625 15,922 0 12 Nov 2013
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods Jascha Narain Sohl-Dickstein Ben Poole Surya Ganguli ODL 180 124 0 09 Nov 2013
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks Çağlar Gülçehre Kyunghyun Cho Razvan Pascanu Yoshua Bengio 160 170 0 07 Nov 2013
Exploring Deep and Recurrent Architectures for Optimal Control Sergey Levine 79 24 0 07 Nov 2013
Dropout improves Recurrent Neural Networks for Handwriting Recognition Vu Pham Théodore Bluche Christopher Kermorvant J. Louradour 116 567 0 05 Nov 2013
On Fast Dropout and its Applicability to Recurrent Networks Justin Bayer Christian Osendorfer Daniela Korhammer Nutan Chen Sebastian Urban Patrick van der Smagt ODL 141 65 0 04 Nov 2013
Least Squares Revisited: Scalable Approaches for Multi-class Prediction Alekh Agarwal Sham Kakade Nikos Karampatziakis Le Song Gregory Valiant 119 29 0 07 Oct 2013
Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis Paul Mineiro 102 34 0 07 Oct 2013
End-to-End Text Recognition with Hybrid HMM Maxout Models O. Alsharif Joelle Pineau 134 117 0 07 Oct 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 195 4,954 0 06 Oct 2013
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling Gary B. Huang Viren Jain 142 45 0 01 Oct 2013