Post-hoc loss-calibration for Bayesian neural networks

13 June 2021

Papers citing "Post-hoc loss-calibration for Bayesian neural networks"

8 / 8 papers shown

Title
Amortized Bayesian Experimental Design for Decision-Making Daolang Huang Yujia Guo Luigi Acerbi Samuel Kaski 44 2 0 03 Jan 2025
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 37 0 0 30 May 2024
Amortized Bayesian Decision Making for simulation-based models Mila Gorecki Jakob H. Macke Michael Deistler 18 1 0 05 Dec 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective Bolian Li Ruqi Zhang 24 1 0 10 Mar 2023
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers H. Coppock G. Nicholson Ivan Kiskin Vasiliki Koutra Kieran Baker ... Björn W. Schuller D. Pigoli S. Gilmour Stephen J. Roberts Chris Holmes 46 24 0 15 Dec 2022
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems Meet P. Vadera Benjamin M. Marlin UQCV BDL 11 5 0 03 Dec 2021
HumBugDB: A Large-scale Acoustic Mosquito Dataset Ivan Kiskin Marianne E. Sinka Adam D. Cobb Waqas Rafique Lawrence Wang ... E. Kaindoa G. Killeen Eva Herreros-Moya Katherine J. Willis Stephen J. Roberts 41 27 0 14 Oct 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 437 15,631 0 02 Nov 2015