Weighted Random Search for CNN Hyperparameter Optimization

30 March 2020

Papers citing "Weighted Random Search for CNN Hyperparameter Optimization"

16 / 16 papers shown

Title
Weighted Random Search for Hyperparameter Optimization A. Florea Razvan Andonie 110 48 0 03 Apr 2020
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 93 1,299 0 09 Dec 2018
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 105 780 0 13 Nov 2018
Neural Architecture Optimization Renqian Luo Fei Tian Tao Qin Enhong Chen Tie-Yan Liu 3DV 72 653 0 22 Aug 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Tobias Hinz Nicolás Navarro-Guerrero S. Magg S. Wermter 50 105 0 19 Jul 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 150 3,025 0 05 Feb 2018
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 112 1,637 0 03 Mar 2017
Evolving Deep Neural Networks Risto Miikkulainen J. Liang Elliot Meyerson Aditya Rawal Daniel Fink ... B. Raju Hormoz Shahrzad Arshak Navruzyan Nigel P. Duffy Babak Hodjat 83 889 0 01 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 410 5,367 0 05 Nov 2016
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates Ilija Ilievski Taimoor Akhtar Jiashi Feng C. Shoemaker 56 151 0 28 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 193,390 0 10 Dec 2015
Hyper-parameter optimization of Deep Convolutional Networks for object recognition S. Talathi 48 25 0 30 Jan 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 383 43,587 0 17 Sep 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits Ruben Martinez-Cantin 58 286 0 29 May 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 436 15,861 0 12 Nov 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 315 7,920 0 13 Jun 2012