Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via
Higher-Order Influence Functions

Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions

29 June 2020

Papers citing "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions"

14 / 14 papers shown

Title
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events Olivier C. Pasche Henry Lam Sebastian Engelke 31 0 0 13 May 2025
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks Xuran Meng Yi Li BDL 32 0 0 12 Apr 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 96 12 0 31 Dec 2024
Safe AI for health and beyond -- Monitoring to transform a health service Mahed Abroshan Michael C. Burkhart Oscar Giles Sam F. Greenbury Zoe Kourtzi Jack Roberts M. Schaar Jannetta S. Steyn Alan Wilson M. Yong 17 1 0 02 Mar 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 13 31 0 14 Dec 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 195 22 0 20 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 41 21 0 12 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt Willie Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
Generalization Through The Lens Of Leave-One-Out Error Gregor Bachmann Thomas Hofmann Aurelien Lucchi 67 7 0 07 Mar 2022
Approximating Full Conformal Prediction at Scale via Influence Functions Javier Abad Umang Bhatt Adrian Weller Giovanni Cherubin 31 10 0 02 Feb 2022
A Cheap Bootstrap Method for Fast Inference H. Lam 29 11 0 31 Jan 2022
Stable Conformal Prediction Sets Eugène Ndiaye 35 20 0 19 Dec 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015