Deep Learning of Representations: Looking Forward

2 May 2013

Papers citing "Deep Learning of Representations: Looking Forward"

47 / 197 papers shown

Title
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks Victor Campos Brendan Jou Xavier Giró-i-Nieto Jordi Torres Shih-Fu Chang 16 217 0 22 Aug 2017
Neural Expectation Maximization Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 11 285 0 11 Aug 2017
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 22 97 0 19 Jul 2017
Deep Learning for Sensor-based Activity Recognition: A Survey Jindong Wang Yiqiang Chen Shuji Hao Xiaohui Peng Lisha Hu HAI 14 1,614 0 12 Jul 2017
Improving Distributed Representations of Tweets - Present and Future J. Ganesh SSL OOD AI4TS 4 1 0 29 Jun 2017
Neural SLAM: Learning to Explore with External Memory Jingwei Zhang L. Tai Ming-Yu Liu Joschka Boedecker Wolfram Burgard 16 71 0 29 Jun 2017
Self-Normalizing Neural Networks G. Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 61 2,483 0 08 Jun 2017
Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira 27 304 0 16 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 24 69 0 07 May 2017
On the effect of pooling on the geometry of representations Gary Bécigneul 9 2 0 20 Mar 2017
Deep Learning in Customer Churn Prediction: Unsupervised Feature Learning on Abstract Company Independent Feature Vectors Philip Spanoudes Thomson Nguyen 11 41 0 10 Mar 2017
Strongly-Typed Agents are Guaranteed to Interact Safely David Balduzzi 27 2 0 24 Feb 2017
A Radically New Theory of how the Brain Represents and Computes with Probabilities Gerard (Rod) Rinkus 14 2 0 26 Jan 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution Lanlan Liu Jia Deng 19 200 0 02 Jan 2017
Graph based manifold regularized deep neural networks for automatic speech recognition Vikrant Singh Tomar R. Rose AAML AI4CE 9 3 0 19 Jun 2016
Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables Hui Shen Dehua Li Hong Wu Zhaoxiang Zang 6 1 0 31 May 2016
A Deep Neural Network for Chinese Zero Pronoun Resolution Qingyu Yin Weinan Zhang Yu Zhang Ting Liu 23 25 0 20 Apr 2016
Towards Machine Intelligence K. Rocki AI4CE 8 0 0 27 Mar 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 37 5,136 0 22 Dec 2015
Gated networks: an inventory Olivier Sigaud Clément Masson David Filliat F. Stulp 13 20 0 10 Dec 2015
Thinking Required K. Rocki AI4CE 26 0 0 07 Dec 2015
Dynamic Capacity Networks Amjad Almahairi Nicolas Ballas Tim Cooijmans Yin Zheng Hugo Larochelle Aaron Courville 17 96 0 24 Nov 2015
Semantics, Representations and Grammars for Deep Learning David Balduzzi GNN 14 1 0 29 Sep 2015
Offline Handwritten Signature Verification - Literature Review L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira OffRL 27 202 0 28 Jul 2015
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion Alessandro Sordoni Yoshua Bengio H. Vahabi Christina Lioma J. Simonsen J. Nie 3DV 21 548 0 08 Jul 2015
Bigeometric Organization of Deep Nets A. Cloninger Ronald R. Coifman Nicholas Downing H. Krumholz 13 7 0 01 Jul 2015
Toxicity Prediction using Deep Learning Thomas Unterthiner Andreas Mayr G. Klambauer Sepp Hochreiter 32 156 0 04 Mar 2015
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images Antti Rasmus T. Raiko Harri Valpola AI4CE 21 20 0 22 Dec 2014
Deep metric learning using Triplet network Elad Hoffer Nir Ailon SSL DML 32 1,982 0 20 Dec 2014
Why does Deep Learning work? - A perspective from Group Theory Arnab Paul Suresh Venkatasubramanian 32 21 0 20 Dec 2014
Self-informed neural network structure learning David Warde-Farley Andrew Rabinovich Dragomir Anguelov SSL 24 18 0 20 Dec 2014
Efficient Representations for Life-Long Learning and Autoencoding Maria-Florina Balcan Avrim Blum Santosh Vempala 42 72 0 06 Nov 2014
Domain Adaptive Neural Networks for Object Recognition Muhammad Ghifary W. Kleijn Mengjie Zhang OOD 33 410 0 21 Sep 2014
On the Equivalence Between Deep NADE and Generative Stochastic Networks L. Yao Sherjil Ozair Kyunghyun Cho Yoshua Bengio BDL 17 9 0 02 Sep 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 34 181 0 29 Jul 2014
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation Paul A. Szerlip G. Morse Justin K. Pugh Kenneth O. Stanley 32 24 0 06 Jun 2014
Analyzing noise in autoencoders and deep networks Ben Poole Jascha Narain Sohl-Dickstein Surya Ganguli 40 107 0 06 Jun 2014
Radical-Enhanced Chinese Character Embedding Yaming Sun Lei Lin Duyu Tang Nan Yang Z. Ji Xiaolong Wang 52 117 0 18 Apr 2014
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks Andrew S. Davis I. Arel 46 78 0 16 Dec 2013
Learning Factored Representations in a Deep Mixture of Experts David Eigen MarcÁurelio Ranzato Ilya Sutskever MoE 37 367 0 16 Dec 2013
Feature Graph Architectures Richard I. A. Davis S. Chawla Philip Leong GNN 31 0 0 15 Dec 2013
Learning Deep Representation Without Parameter Inference for Nonlinear Dimensionality Reduction Xiao-Lei Zhang BDL OOD SSL 32 2 0 22 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
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 42 1,309 0 03 Jun 2013
Estimating or Propagating Gradients Through Stochastic Neurons Yoshua Bengio 48 108 0 14 May 2013
Joint Training of Deep Boltzmann Machines Ian Goodfellow Aaron Courville Yoshua Bengio FedML 74 28 0 12 Dec 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012