Regularization of Deep Neural Networks with Spectral Dropout

Regularization of Deep Neural Networks with Spectral Dropout

23 November 2017

Salman Khan

Fatih Porikli

Papers citing "Regularization of Deep Neural Networks with Spectral Dropout"

10 / 10 papers shown

Title
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 56 0 0 20 Jan 2025
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers Nurullah Sevim Ege Ozan Özyedek Furkan Şahinuç Aykut Koç 40 11 0 26 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 45 6 0 20 Sep 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 37 9 0 05 Apr 2022
DL-Reg: A Deep Learning Regularization Technique using Linear Regression Maryam Dialameh A. Hamzeh Hossein Rahmani 26 3 0 31 Oct 2020
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks Majed El Helou Ruofan Zhou Sabine Süsstrunk 24 45 0 16 Mar 2020
An Efficient Hardware-Oriented Dropout Algorithm Y. J. Yeoh Takashi Morie H. Tamukoh 13 2 0 14 Nov 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012