Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces

5 April 2020

Papers citing "Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces"

7 / 7 papers shown

Title
Unsupervised and Supervised Principal Component Analysis: Tutorial Benyamin Ghojogh Mark Crowley 40 31 0 01 Jun 2019
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial Benyamin Ghojogh Mark Crowley AI4CE 49 178 0 28 May 2019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 188 773 0 12 Nov 2018
Porcupine Neural Networks: (Almost) All Local Optima are Global Soheil Feizi Hamid Javadi Jesse M. Zhang David Tse 71 36 0 05 Oct 2017
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks Mahdi Soltanolkotabi Adel Javanmard Jason D. Lee 172 419 0 16 Jul 2017
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
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015