Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression

16 November 2022

Papers citing "Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression"

6 / 6 papers shown

Title
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 106 1,148 0 30 Aug 2020
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 87 629 0 19 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 88 776 0 09 Jun 2019
Diverse mini-batch Active Learning Fedor Zhdanov 59 155 0 17 Jan 2019
Dropout-based Active Learning for Regression Evgenii Tsymbalov Maxim Panov Alexander Shapeev BDL UQCV 41 56 0 26 Jun 2018
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 266 751 0 06 Jun 2015