Maxout Networks

18 February 2013

Aaron Courville

Papers citing "Maxout Networks"

50 / 810 papers shown

Title
Maxmin convolutional neural networks for image classification Michael Blot Matthieu Cord Nicolas Thome 12 45 0 25 Oct 2016
A Framework for Parallel and Distributed Training of Neural Networks Simone Scardapane P. Lorenzo FedML 21 26 0 24 Oct 2016
Deep image mining for diabetic retinopathy screening G. Quellec K. Charrière Yassine Boudi B. Cochener M. Lamard MedIm 41 413 0 22 Oct 2016
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 36 383 0 13 Oct 2016
Multiple Instance Learning Convolutional Neural Networks for Object Recognition Miao Sun T. Han Ming-Chang Liu Ahmad Khodayari-Rostamabad SSL 19 46 0 11 Oct 2016
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering Youngjae Yu Hyungjin Ko Jongwook Choi Gunhee Kim 14 230 0 10 Oct 2016
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets Petar Velickovic Duo Wang Nicholas D. Lane Pietro Lio 34 31 0 01 Oct 2016
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition René Grzeszick Sebastian Sudholt G. Fink UQCV 36 4 0 26 Sep 2016
Deep learning based fence segmentation and removal from an image using a video sequence Sankaraganesh Jonna K. K. Nakka R. R. Sahay 19 18 0 25 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 51 1,846 0 22 Sep 2016
Deep Learning for Video Classification and Captioning Zuxuan Wu Ting Yao Yanwei Fu Yu-Gang Jiang 3DV VLM 30 123 0 22 Sep 2016
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing J. Chorowski Michal Zapotoczny Paweł Rychlikowski 24 5 0 12 Sep 2016
Fitted Learning: Models with Awareness of their Limits Navid Kardan Kenneth O. Stanley CLL 32 16 0 07 Sep 2016
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 19 935 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 321 36,420 0 25 Aug 2016
Neural Networks with Smooth Adaptive Activation Functions for Regression L. Hou Dimitris Samaras Tahsin M. Kurc Yi Gao Joel H. Saltz 9 12 0 23 Aug 2016
Local Binary Convolutional Neural Networks Felix Juefei Xu Vishnu Boddeti Marios Savvides MQ 32 251 0 22 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou 23 119 0 22 Aug 2016
Learning to Start for Sequence to Sequence Architecture Qingfu Zhu Weinan Zhang Lianqiang Zhou Ting Liu 15 10 0 19 Aug 2016
Faster Training of Very Deep Networks Via p-Norm Gates Trang Pham T. Tran Dinh Q. Phung Svetha Venkatesh AI4CE 27 19 0 11 Aug 2016
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons Lingxi Xie Qi Tian John Flynn Jingdong Wang Alan Yuille 22 11 0 21 Jul 2016
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks Xiaojie Jin Yunpeng Chen Jian Dong Jiashi Feng Shuicheng Yan 26 21 0 19 Jul 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods Xiaojie Jin Xiao-Tong Yuan Jiashi Feng Shuicheng Yan 16 78 0 19 Jul 2016
Deep learning trends for focal brain pathology segmentation in MRI Mohammad Havaei N. Guizard Hugo Larochelle Pierre-Marc Jodoin OOD 22 83 0 18 Jul 2016
Guided Alignment Training for Topic-Aware Neural Machine Translation Wenhu Chen E. Matusov Shahram Khadivi Jan-Thorsten Peter 30 109 0 06 Jul 2016
CUNet: A Compact Unsupervised Network for Image Classification Le Dong Ling He Gaipeng Kong Qianni Zhang Xiaochun Cao E. Izquierdo SSL 27 24 0 06 Jul 2016
A Distributed Deep Representation Learning Model for Big Image Data Classification Le Dong Na Lv Qianni Zhang Shanshan Xie Ling He Mengdie Mao 11 0 0 02 Jul 2016
Less-forgetting Learning in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim 26 227 0 01 Jul 2016
Supervised learning based on temporal coding in spiking neural networks Hesham Mostafa 31 350 0 27 Jun 2016
DropNeuron: Simplifying the Structure of Deep Neural Networks W. Pan Hao Dong Yike Guo 24 35 0 23 Jun 2016
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation H. Pan Hui Jiang 3DV 17 13 0 20 Jun 2016
Convolutional Residual Memory Networks Joel Ruben Antony Moniz C. Pal 31 23 0 16 Jun 2016
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16 Felix Stahlberg Eva Hasler Bill Byrne 35 7 0 15 Jun 2016
Conditional Generative Moment-Matching Networks Yong Ren J. Li Yucen Luo Jun Zhu GAN 20 61 0 14 Jun 2016
Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variations Hwaran Lee Geon-min Kim Ho-Gyeong Kim Sang-Hoon Oh Soo-Young Lee 22 7 0 10 Jun 2016
Convolutional Neural Fabrics Shreyas Saxena Jakob Verbeek 24 225 0 08 Jun 2016
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation Petteri Teikari Marc A. Santos Charissa Poon K. Hynynen 3DV 21 48 0 08 Jun 2016
Systematic evaluation of CNN advances on the ImageNet Dmytro Mishkin N. Sergievskiy Jirí Matas FAtt 8 125 0 07 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 20 1,310 0 02 Jun 2016
Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection Katharina Kann Hinrich Schütze BDL 21 88 0 02 Jun 2016
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units Yang Li Chunxiao Fan Yong Li Qiong Wu Yue Ming 17 83 0 01 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 55 141 0 31 May 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks Ludovic Trottier Philippe Giguère B. Chaib-draa 41 199 0 30 May 2016
Theano-MPI: a Theano-based Distributed Training Framework He Ma Fei Mao Graham W. Taylor GNN 16 49 0 26 May 2016
Deeply-Fused Nets Jingdong Wang Zhen Wei Ting Zhang Wenjun Zeng FedML 8 98 0 25 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 89 7,914 0 23 May 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups Yani Andrew Ioannou D. Robertson R. Cipolla A. Criminisi 14 263 0 20 May 2016
Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang Timothy M. Hospedales 22 255 0 20 May 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 34 130 0 20 May 2016
Ternary Weight Networks Fengfu Li Bin Liu Xiaoxing Wang Bo Zhang Junchi Yan MQ 38 521 0 16 May 2016