AutoHAS: Efficient Hyperparameter and Architecture Search

AutoHAS: Efficient Hyperparameter and Architecture Search

5 June 2020

Mingxing Tan

Bogdan Gabrys

Papers citing "AutoHAS: Efficient Hyperparameter and Architecture Search"

6 / 6 papers shown

Title
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 24 5 0 30 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 59 10 0 13 Sep 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 48 653 0 01 Jun 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,420 0 02 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016