An enhanced learning algorithm with a particle filter-based gradient descent optimizer method

A Stochastic Approximation Method

Herbert Robbins, Sutton Monro · The Annals of Mathematical Statistics · 1951 · 9.6K citations · Full text

Computing, Computer Science, Algorithms +9

Neural Optimizer Search with Reinforcement Learning

Irwan Bello, Barret Zoph, Vijay Vasudevan et al. · arXiv (Cornell University) · 2017 · 203 citations · Full text

Computing, Computer Science, Artificial Intelligence +12

Learning Multi-Task Correlation Particle Filters for Visual Tracking

Tianzhu Zhang, Changsheng Xu, Ming–Hsuan Yang · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 182 citations

Computing, Vision Science, Computer Vision +13

Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer

Jing Yang, Guanci Yang · Algorithms · 2018 · 144 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

DropSample : A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition

Weixin Yang, Lianwen Jin, Dacheng Tao et al. · Pattern Recognition · 2016 · 139 citations

Computing, Computer Science, Artificial Intelligence +13