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
Efficient Object Localization Using Convolutional Networks Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun C. Bregler 3DH 237 1,353 0 16 Nov 2014
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets Zhiyun Lu Avner May Kuan Liu A. Garakani Dong Guo ... Linxi Fan Michael Collins Brian Kingsbury M. Picheny Fei Sha BDL 131 66 0 14 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 238 8,372 0 06 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 296 10,450 0 06 Nov 2014
Random feedback weights support learning in deep neural networks Timothy Lillicrap D. Cownden D. Tweed C. Akerman ODL 81 171 0 02 Nov 2014
Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods Saahil Ognawala Justin Bayer 62 3 0 21 Oct 2014
Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning Pierre Baldi Peter Sadowski D. Whiteson 93 95 0 13 Oct 2014
Understanding Locally Competitive Networks R. Srivastava Jonathan Masci Faustino J. Gomez Jürgen Schmidhuber FAtt 117 39 0 05 Oct 2014
SimNets: A Generalization of Convolutional Networks Nadav Cohen Amnon Shashua 3DPC 86 24 0 03 Oct 2014
Spatially-sparse convolutional neural networks Benjamin Graham 102 231 0 22 Sep 2014
Domain Adaptive Neural Networks for Object Recognition Muhammad Ghifary W. Kleijn Mengjie Zhang OOD 124 423 0 21 Sep 2014
Deep Regression for Face Alignment Baoguang Shi X. Bai Wenyu Liu Jingdong Wang 3DV CVBM 52 22 0 18 Sep 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 354 2,245 0 18 Sep 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 525 43,762 0 17 Sep 2014
Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces Kevin Swersky David Duvenaud Jasper Snoek Frank Hutter Michael A. Osborne BDL 171 79 0 14 Sep 2014
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data Yin Zheng Yujin Zhang Hugo Larochelle BDL 106 63 0 13 Sep 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 159 1,620 0 10 Sep 2014
Winner-Take-All Autoencoders Alireza Makhzani B. Frey BDL 105 32 0 09 Sep 2014
Learning Machines Implemented on Non-Deterministic Hardware Suyog Gupta Vikas Sindhwani K. Gopalakrishnan 53 2 0 09 Sep 2014
On the Equivalence Between Deep NADE and Generative Stochastic Networks L. Yao Sherjil Ozair Kyunghyun Cho Yoshua Bengio BDL 80 9 0 02 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,704 0 01 Sep 2014
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 697 13,445 0 25 Aug 2014
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications H. Roth Jianhua Yao Le Lu James Stieger Joseph E. Burns Ronald M. Summers 94 85 0 22 Jul 2014
Extensions of stability selection using subsamples of observations and covariates A. Beinrucker Ürün Dogan Gilles Blanchard 76 21 0 18 Jul 2014
Altitude Training: Strong Bounds for Single-Layer Dropout Stefan Wager William Fithian Sida I. Wang Percy Liang BDL 106 50 0 11 Jul 2014
Deep Networks with Internal Selective Attention through Feedback Connections Marijn F. Stollenga Jonathan Masci Faustino J. Gomez Jürgen Schmidhuber 164 257 0 11 Jul 2014
Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning Kyunghyun Cho Yoshua Bengio 114 38 0 28 Jun 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 160 1,026 0 26 Jun 2014
$N^4$ -Fields: Neural Network Nearest Neighbor Fields for Image Transforms Yaroslav Ganin Victor Lempitsky OOD 110 271 0 25 Jun 2014
Freeze-Thaw Bayesian Optimization Kevin Swersky Jasper Snoek Ryan P. Adams 116 270 0 16 Jun 2014
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network Sijin Li Zhi-Qiang Liu Antoni B. Chan 3DH 137 236 0 13 Jun 2014
Scheduled denoising autoencoders Krzysztof J. Geras Charles Sutton 110 47 0 12 Jun 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks T. Raiko Mathias Berglund Guillaume Alain Laurent Dinh BDL 137 126 0 11 Jun 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 176 2,201 0 10 Jun 2014
Unsupervised Deep Haar Scattering on Graphs Xu Chen Xiuyuan Cheng S. Mallat 99 52 0 09 Jun 2014
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition Max Jaderberg Karen Simonyan Andrea Vedaldi Andrew Zisserman 164 935 0 09 Jun 2014
Analyzing noise in autoencoders and deep networks Ben Poole Jascha Narain Sohl-Dickstein Surya Ganguli 114 108 0 06 Jun 2014
Variational inference of latent state sequences using Recurrent Networks Justin Bayer Christian Osendorfer DRL BDL 101 1 0 06 Jun 2014
Learning to Discover Efficient Mathematical Identities Wojciech Zaremba Karol Kurach Rob Fergus 102 54 0 06 Jun 2014
Multi-task Neural Networks for QSAR Predictions George E. Dahl Navdeep Jaitly Ruslan Salakhutdinov 126 277 0 04 Jun 2014
Online Linear Optimization via Smoothing Jacob D. Abernethy Chansoo Lee Abhinav Sinha Ambuj Tewari 140 78 0 23 May 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 140 1,465 0 15 May 2014
Is Joint Training Better for Deep Auto-Encoders? Yingbo Zhou Devansh Arpit Ifeoma Nwogu V. Govindaraju 71 2 0 06 May 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 267 16,437 0 30 Apr 2014
Multi-Target Regression via Random Linear Target Combinations Grigorios Tsoumakas Eleftherios Spyromitros Xioufis Aikaterini Vrekou I. Vlahavas 75 79 0 20 Apr 2014
Learning Fine-grained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung C. Rosenberg Jingbin Wang James Philbin Bo Chen Ying Nian Wu SSL 131 1,318 0 17 Apr 2014
Generic Object Detection With Dense Neural Patterns and Regionlets Will Y. Zou Xiaoyu Wang Miao Sun Yuanqing Lin ObjD 133 66 0 16 Apr 2014
Dropout Training for Support Vector Machines Ning Chen Jun Zhu Jianfei Chen Bo Zhang 82 37 0 16 Apr 2014
Bayesian Neural Networks for Genetic Association Studies of Complex Disease Andrew L. Beam A. Motsinger-Reif Jon Doyle BDL 53 34 0 15 Apr 2014
Recover Canonical-View Faces in the Wild with Deep Neural Networks Zhenyao Zhu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 127 107 0 14 Apr 2014