Maxout Networks

18 February 2013

Aaron Courville

Papers citing "Maxout Networks"

50 / 810 papers shown

Title
Deep Narrow Boltzmann Machines are Universal Approximators Guido Montúfar 26 9 0 14 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 50 10,321 0 06 Nov 2014
Bootstrap-Based Regularization for Low-Rank Matrix Estimation Julie Josse Stefan Wager 31 18 0 30 Oct 2014
Parallel training of DNNs with Natural Gradient and Parameter Averaging Daniel Povey Xiaohui Zhang Sanjeev Khudanpur FedML 17 253 0 27 Oct 2014
Understanding Locally Competitive Networks R. Srivastava Jonathan Masci Faustino J. Gomez Jürgen Schmidhuber FAtt 20 39 0 05 Oct 2014
SimNets: A Generalization of Convolutional Networks Nadav Cohen Amnon Shashua 3DPC 24 23 0 03 Oct 2014
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition Zhicheng Yan Hao Zhang Robinson Piramuthu Vignesh Jagadeesh D. DeCoste Wei Di Yizhou Yu 45 60 0 03 Oct 2014
Deformable Part Models are Convolutional Neural Networks Ross B. Girshick F. Iandola Trevor Darrell Jitendra Malik 30 454 0 18 Sep 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Z. Tu 29 2,220 0 18 Sep 2014
Winner-Take-All Autoencoders Alireza Makhzani B. Frey BDL 33 32 0 09 Sep 2014
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures J. Hershey Jonathan Le Roux F. Weninger BDL 27 430 0 09 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 22 27,117 0 01 Sep 2014
Altitude Training: Strong Bounds for Single-Layer Dropout Stefan Wager William Fithian Sida I. Wang Percy Liang BDL 40 50 0 11 Jul 2014
Deep Networks with Internal Selective Attention through Feedback Connections Marijn F. Stollenga Jonathan Masci Faustino J. Gomez Jürgen Schmidhuber 41 257 0 11 Jul 2014
Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning Kyunghyun Cho Yoshua Bengio 38 38 0 28 Jun 2014
Convolutional Kernel Networks Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid 29 378 0 12 Jun 2014
Deep Epitomic Convolutional Neural Networks George Papandreou 34 7 0 10 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 39 2,182 0 10 Jun 2014
Unsupervised Deep Haar Scattering on Graphs Xu Chen Xiuyuan Cheng S. Mallat 30 52 0 09 Jun 2014
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition Max Jaderberg Karen Simonyan Andrea Vedaldi Andrew Zisserman 63 933 0 09 Jun 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 40 23,141 0 03 Jun 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 56 1,457 0 15 May 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 38 16,258 0 30 Apr 2014
PCANet: A Simple Deep Learning Baseline for Image Classification? Tsung-Han Chan Kui Jia Shenghua Gao Jiwen Lu Zinan Zeng Yi Ma 56 1,498 0 14 Apr 2014
Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition Marius Leordeanu Rahul Sukthankar 47 7 0 02 Apr 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features Yunchao Gong Liwei Wang Ruiqi Guo Svetlana Lazebnik 32 1,090 0 07 Mar 2014
On the Number of Linear Regions of Deep Neural Networks Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio 29 1,239 0 08 Feb 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling BDL 36 61 0 03 Feb 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 43 1,413 0 21 Dec 2013
An empirical analysis of dropout in piecewise linear networks David Warde-Farley Ian Goodfellow Aaron Courville Yoshua Bengio 49 106 0 21 Dec 2013
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 57 2,107 0 21 Dec 2013
Improving Deep Neural Networks with Probabilistic Maxout Units Jost Tobias Springenberg Martin Riedmiller BDL OOD 40 101 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 44 256 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 36 711 0 20 Dec 2013
How to Construct Deep Recurrent Neural Networks Razvan Pascanu Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 53 1,008 0 20 Dec 2013
Understanding Deep Architectures using a Recursive Convolutional Network David Eigen J. Rolfe Rob Fergus Yann LeCun AI4CE FAtt 38 146 0 06 Dec 2013
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches Xudong Liu Bin Xu Yuyu Zhang Qiang Yan Liang Pang Qiang Li Hanxiao Sun Bin Wang 31 5 0 29 Nov 2013
From Maxout to Channel-Out: Encoding Information on Sparse Pathways Qi Wang J. JáJá BDL 45 14 0 18 Nov 2013
Signal Recovery from Pooling Representations Joan Bruna Arthur Szlam Yann LeCun 29 96 0 16 Nov 2013
Sparse Matrix Factorization Behnam Neyshabur Rina Panigrahy 44 26 0 13 Nov 2013
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods Jascha Narain Sohl-Dickstein Ben Poole Surya Ganguli ODL 53 125 0 09 Nov 2013
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks Çağlar Gülçehre Kyunghyun Cho Razvan Pascanu Yoshua Bengio 40 170 0 07 Nov 2013
Dropout improves Recurrent Neural Networks for Handwriting Recognition Vu Pham Théodore Bluche Christopher Kermorvant J. Louradour 40 565 0 05 Nov 2013
Least Squares Revisited: Scalable Approaches for Multi-class Prediction Alekh Agarwal Sham Kakade Nikos Karampatziakis Le Song Gregory Valiant 53 29 0 07 Oct 2013
Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis Paul Mineiro 43 33 0 07 Oct 2013
End-to-End Text Recognition with Hybrid HMM Maxout Models O. Alsharif Joelle Pineau 54 117 0 07 Oct 2013
Pylearn2: a machine learning research library Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin M. Berk Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio MU 39 305 0 20 Aug 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 52 3,062 0 15 Aug 2013
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 59 594 0 04 Jul 2013
Challenges in Representation Learning: A report on three machine learning contests Ian Goodfellow D. Erhan P. Carrier Aaron Courville M. Berk Mirza ... Jingjing Xie Lukasz Romaszko Bing Xu Chuang Zhang Yoshua Bengio CVBM 49 1,586 0 01 Jul 2013