Measuring and Improving Model-Moderator Collaboration using Uncertainty
Estimation

Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation

9 July 2021

Ian D Kivlichan

Papers citing "Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation"

15 / 15 papers shown

Title
Overcoming Common Flaws in the Evaluation of Selective Classification Systems Jeremias Traub Till J. Bungert Carsten T. Lüth Michael Baumgartner Klaus H. Maier-Hein Lena Maier-Hein Paul F. Jaeger 38 3 0 01 Jul 2024
A Rate-Distortion View of Uncertainty Quantification Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski UQCV 46 2 0 16 Jun 2024
Inadequacy of common stochastic neural networks for reliable clinical decision support Adrian Lindenmeyer Malte Blattmann S. Franke Thomas Neumuth Daniel Schneider BDL 35 1 0 24 Jan 2024
Self-Evaluation Improves Selective Generation in Large Language Models Jie Jessie Ren Yao-Min Zhao Tu Vu Peter J. Liu Balaji Lakshminarayanan ELM 23 34 0 14 Dec 2023
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation Zi Lin Zihan Wang Yongqi Tong Yangkun Wang Yuxin Guo Yujia Wang Jingbo Shang AI4MH 10 91 0 26 Oct 2023
Morse Neural Networks for Uncertainty Quantification Benoit Dherin Huiyi Hu Jie Jessie Ren Michael W. Dusenberry Balaji Lakshminarayanan UQCV AI4CE 21 4 0 02 Jul 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity Metod Jazbec J. Allingham Dan Zhang Eric T. Nalisnick 21 11 0 05 Jun 2023
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 33 1 0 15 Mar 2023
ChatGPT: Jack of all trades, master of none Jan Kocoñ Igor Cichecki Oliwier Kaszyca Mateusz Kochanek Dominika Szydło ... Maciej Piasecki Lukasz Radliñski Konrad Wojtasik Stanislaw Wo'zniak Przemyslaw Kazienko AI4MH 37 527 0 21 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani Josip Djolonga Basil Mustafa Piotr Padlewski Jonathan Heek ... Mario Luvcić Xiaohua Zhai Daniel Keysers Jeremiah Harmsen N. Houlsby MLLM 61 570 0 10 Feb 2023
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 39 124 0 15 Jul 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 21 48 0 01 May 2022
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015