Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks

22 September 2020

Papers citing "Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks"

10 / 10 papers shown

Title
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 87 627 0 19 Jun 2019
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 122 247 0 25 May 2018
Active Learning with Logged Data Songbai Yan Kamalika Chaudhuri T. Javidi 112 27 0 25 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
Clustering with Noisy Queries A. Mazumdar B. Saha 63 95 0 22 Jun 2017
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting Yuxin Chen J. Renders M. Chehreghani Andreas Krause 31 13 0 16 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 70 1,735 0 08 Mar 2017
Active Learning from Imperfect Labelers Songbai Yan Kamalika Chaudhuri T. Javidi 57 55 0 30 Oct 2016
Clustering with Same-Cluster Queries H. Ashtiani Shrinu Kushagra Shai Ben-David 53 97 0 08 Jun 2016
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 119 913 0 24 Dec 2011