Generalization in Neural Networks: A Broad Survey

4 September 2022

Papers citing "Generalization in Neural Networks: A Broad Survey"

11 / 61 papers shown

Title
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 328 4,624 0 10 Nov 2016
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling Hakan Inan Khashayar Khosravi R. Socher 108 384 0 04 Nov 2016
Using the Output Embedding to Improve Language Models Ofir Press Lior Wolf 67 733 0 20 Aug 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 99 2,004 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 351 7,316 0 13 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 326 7,971 0 23 May 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 838 27,303 0 02 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 439 43,277 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 422 43,635 0 17 Sep 2014
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 88 1,302 0 23 Apr 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 438 7,658 0 03 Jul 2012