Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks

Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks

28 May 2025

Eyke Hüllermeier

Papers citing "Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks"

10 / 10 papers shown

Title
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data Valentin Margraf Marcel Wever Sandra Gilhuber Gabriel Marques Tavares Thomas Seidl Eyke Hüllermeier 58 1 0 25 Jun 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi Michael Kirchhof Seong Joon Oh UQCV BDL OODD 485 27 1 29 Feb 2024
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 73 305 0 28 Jun 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 70 363 0 15 Jun 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 263 692 0 22 Apr 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 71 42,038 0 03 Dec 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 151 1,454 0 16 Jul 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 48 8,807 0 25 Aug 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 68 522 0 23 May 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 173 8,030 0 13 Aug 2016