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HyperNetworks

27 September 2016

Papers citing "HyperNetworks"

27 / 77 papers shown

Title
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 70 471 0 16 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 113 2,006 0 14 Jun 2016
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation Jie Zhou Ying Cao Xuguang Wang Peng Li Wenyuan Xu AIMat 60 217 0 14 Jun 2016
Convolution by Evolution: Differentiable Pattern Producing Networks Chrisantha Fernando Dylan Banarse Malcolm Reynolds F. Besse David Pfau Max Jaderberg Marc Lanctot Daan Wierstra 285 102 0 08 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations David M. Krueger Tegan Maharaj János Kramár Mohammad Pezeshki Nicolas Ballas Nan Rosemary Ke Anirudh Goyal Yoshua Bengio Aaron Courville C. Pal 78 317 0 03 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets Srikrishna Karanam Mengran Gou Ziyan Wu Angels Rates-Borras Mario Sznaier Richard J. Radke 92 58 0 31 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 349 7,985 0 23 May 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 215 2,357 0 30 Mar 2016
Recurrent Batch Normalization Tim Cooijmans Nicolas Ballas César Laurent Çağlar Gülçehre Aaron Courville ODL 53 410 0 30 Mar 2016
Recurrent Dropout without Memory Loss Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 66 222 0 16 Mar 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 276 11,151 0 14 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,524 0 23 Nov 2015
ACDC: A Structured Efficient Linear Layer Marcin Moczulski Misha Denil J. Appleyard Nando de Freitas 74 98 0 18 Nov 2015
Training Very Deep Networks R. Srivastava Klaus Greff Jürgen Schmidhuber 161 1,682 0 22 Jul 2015
Grid Long Short-Term Memory Nal Kalchbrenner Ivo Danihelka Alex Graves AI4TS 79 363 0 06 Jul 2015
Gated Feedback Recurrent Neural Networks Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 72 829 0 09 Feb 2015
Deep Fried Convnets Zichao Yang Marcin Moczulski Misha Denil Nando de Freitas Alex Smola Le Song Ziyu Wang 102 267 0 22 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 308 3,887 0 19 Dec 2014
Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods Saahil Ognawala Justin Bayer 52 3 0 21 Oct 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 346 2,240 0 18 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 291 6,279 0 16 Dec 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 155 4,034 0 04 Aug 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 200 1,319 0 03 Jun 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012