SLURP: Side Learning Uncertainty for Regression Problems

v1v2 (latest)

SLURP: Side Learning Uncertainty for Regression Problems

21 October 2021

ArXiv (abs)PDF HTML

Papers citing "SLURP: Side Learning Uncertainty for Regression Problems"

17 / 17 papers shown

Title
Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization Hye-Min Won Jieun Lee Jiyong Oh EDL 139 1 0 10 Apr 2025
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 176 493 0 17 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 84 320 0 15 Feb 2020
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 662 0 09 May 2019
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding Daniel Gehrig Dengxin Dai Simon Hecker Luc Van Gool 80 241 0 03 Aug 2018
Lightweight Probabilistic Deep Networks Jochen Gast Stefan Roth UQCV OOD BDL 82 181 0 29 May 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 267 2,448 0 07 Sep 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 133 827 0 22 Aug 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,719 0 15 Mar 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 259 3,081 0 06 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,472 0 07 Oct 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,644 0 06 Apr 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 316 4,180 0 26 Apr 2015
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 239 4,066 0 09 Jun 2014
Tractable Inference for Complex Stochastic Processes Xavier Boyen D. Koller TPM 92 659 0 30 Jan 2013