Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning

27 February 2019

Papers citing "Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning"

5 / 5 papers shown

Title
Scalable Batch Acquisition for Deep Bayesian Active Learning Aleksandr Rubashevskii Daria A. Kotova Maxim Panov BDL 27 3 0 13 Jan 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 83 24 0 01 Sep 2022
Accelerating high-throughput virtual screening through molecular pool-based active learning David E. Graff E. Shakhnovich Connor W. Coley 87 143 0 13 Dec 2020
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 26 30 0 28 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015