Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm

23 June 2020

Papers citing "Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm"

8 / 8 papers shown

Title
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 35 5 0 30 Jun 2024
Intelligent gradient amplification for deep neural networks S. Basodi K. Pusuluri Xueli Xiao Yi Pan ODL 21 1 0 29 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 32 5 0 02 May 2023
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach Arpan Biswas Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin BDL DRL 19 10 0 30 Jun 2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications M. Kiran Melis Ozyildirim 40 22 0 26 Jan 2022
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization Vincent Dumont Casey Garner Anuradha Trivedi Chelsea Jones V. Ganapati Juliane Mueller T. Perciano Mariam Kiran Marcus Day 16 5 0 04 Oct 2021
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning Shaashwat Agrawal Sagnik Sarkar M. Alazab Praveen Kumar Reddy Maddikunta Thippa Reddy Gadekallu Viet Quoc Pham FedML 21 51 0 15 Jul 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016