Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction

18 August 2023

Papers citing "Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction"

8 / 8 papers shown

Title
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation Jianqing Fan Jiawei Ge Debarghya Mukherjee AI4TS 65 7 0 28 Jun 2023
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 201 617 0 15 Jul 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 336 1,922 0 12 Nov 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 203 334 0 29 Sep 2020
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition Yaman Kumar Singla Dhruva Sahrawat Shubham Maheshwari Debanjan Mahata Amanda Stent Yifang Yin R. Shah Roger Zimmermann VLM 27 12 0 29 Jan 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 223 1,514 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015