Dropout-based Active Learning for Regression

Dropout-based Active Learning for Regression

26 June 2018

Evgenii Tsymbalov

Alexander Shapeev

Papers citing "Dropout-based Active Learning for Regression"

13 / 13 papers shown

Title
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 57 4 0 02 Aug 2024
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 31 10 0 17 Jul 2023
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter Satoshi Kosugi T. Yamasaki 21 2 0 15 Jun 2023
Scalable Batch Acquisition for Deep Bayesian Active Learning Aleksandr Rubashevskii Daria A. Kotova Maxim Panov BDL 27 3 0 13 Jan 2023
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 34 20 0 02 Sep 2022
Scalable computation of prediction intervals for neural networks via matrix sketching Alexander Fishkov Maxim Panov UQCV 25 1 0 06 May 2022
Active learning for reducing labeling effort in text classification tasks Peter Jacobs Gideon Maillette de Buy Wenniger M. Wiering Lambert Schomaker VLM 42 12 0 10 Sep 2021
Backdoor Attack and Defense for Deep Regression Xi Li G. Kesidis David J. Miller V. Lucic AAML 11 6 0 06 Sep 2021
Robust and Active Learning for Deep Neural Network Regression Xi Li G. Kesidis David J. Miller Maxime Bergeron Ryan Ferguson V. Lucic 22 1 0 28 Jul 2021
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex Benjamin R. Cowley Jonathan W. Pillow 24 10 0 13 Jun 2020
Constraining the Parameters of High-Dimensional Models with Active Learning S. Caron Tom Heskes Sydney Otten B. Stienen AI4CE 16 27 0 19 May 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012