A Framework and Benchmark for Deep Batch Active Learning for Regression

A Framework and Benchmark for Deep Batch Active Learning for Regression

17 March 2022

David Holzmüller

Viktor Zaverkin

Johannes Kastner

Papers citing "A Framework and Benchmark for Deep Batch Active Learning for Regression"

15 / 65 papers shown

Title
Pool-Based Sequential Active Learning for Regression Dongrui Wu 30 107 0 12 May 2018
Gaussian Process Behaviour in Wide Deep Neural Networks A. G. Matthews Mark Rowland Jiri Hron Richard Turner Zoubin Ghahramani BDL 141 559 0 30 Apr 2018
Deep Active Learning over the Long Tail Yonatan Geifman Ran El-Yaniv 3DPC 65 143 0 02 Nov 2017
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 115 1,093 0 01 Nov 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,734 0 08 Mar 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning Stefan Elfwing E. Uchibe Kenji Doya 133 1,719 0 10 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 822 5,806 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 815 9,302 0 06 Jun 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 89 1,043 0 19 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 320 18,609 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 160 1,322 0 29 Jul 2014
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm M. E. Celebi H. Kingravi Patricio A. Vela 78 1,122 0 10 Sep 2012
Random Feature Maps for Dot Product Kernels Purushottam Kar H. Karnick 75 256 0 31 Jan 2012
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 112 912 0 24 Dec 2011