Training Very Deep Networks

22 July 2015

Papers citing "Training Very Deep Networks"

9 / 559 papers shown

Title
Gradual DropIn of Layers to Train Very Deep Neural Networks L. Smith Emily M. Hand T. Doster AI4CE 29 33 0 22 Nov 2015
Adding Gradient Noise Improves Learning for Very Deep Networks Arvind Neelakantan Luke Vilnis Quoc V. Le Ilya Sutskever Lukasz Kaiser Karol Kurach James Martens AI4CE ODL 27 541 0 21 Nov 2015
Blending LSTMs into CNNs Krzysztof J. Geras Abdel-rahman Mohamed R. Caruana G. Urban Shengjie Wang Ozlem Aslan Matthai Philipose Matthew Richardson Charles Sutton 19 60 0 19 Nov 2015
Deconstructing the Ladder Network Architecture Mohammad Pezeshki Linxi Fan Philemon Brakel Aaron Courville Yoshua Bengio 25 98 0 19 Nov 2015
All you need is a good init Dmytro Mishkin Jirí Matas ODL 32 604 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 34 2,343 0 19 Nov 2015
Character-Aware Neural Language Models Yoon Kim Yacine Jernite David Sontag Alexander M. Rush 10 1,663 0 26 Aug 2015
Deep SimNets Nadav Cohen Or Sharir Amnon Shashua 35 46 0 09 Jun 2015
Stacked What-Where Auto-encoders Jun Zhao Michaël Mathieu Ross Goroshin Yann LeCun DiffM BDL 24 258 0 08 Jun 2015