Dropout Training as Adaptive Regularization

4 July 2013

Papers citing "Dropout Training as Adaptive Regularization"

6 / 6 papers shown

Title
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 101 0 0 18 Feb 2025
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking Ilqar Ramazanli Hamid Eghbalzadeh Xiaoyi Liu Yang Wang Jiaxiang Fu Kaushik Rangadurai Sem Park Bo Long Xue Feng 95 0 0 05 Feb 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 213 1 0 25 Nov 2024
Maxout Networks Ian Goodfellow David Warde-Farley M. Berk Mirza Aaron Courville Yoshua Bengio OOD 210 2,177 0 18 Feb 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 414 7,657 0 03 Jul 2012
Adding noise to the input of a model trained with a regularized objective Salah Rifai Xavier Glorot Yoshua Bengio Pascal Vincent NoLa 77 78 0 16 Apr 2011