BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

14 July 2022

Papers citing "BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks"

23 / 23 papers shown

Title
Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Alexei Kaltchenko 48 0 0 30 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Duy Nguyen Quan Huu Do Khoa D. Doan Minh N. Do 32 0 0 18 Apr 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution Zihao He Shengchuan Zhang R. Hu Yunhang Shen Y. Zhang DiffM 57 0 0 04 Apr 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 55 0 0 09 Feb 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 50 5 0 25 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 46 10 0 05 Mar 2024
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms Uddeshya Upadhyay S. Bade Arjun Puranik S. Asfahan Melwin Babu ... S. Asirvatham Ashim Prasad A. Rajasekharan S. Awasthi R. Barve OOD 23 3 0 23 Nov 2023
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation D. M. Nguyen Tan Ngoc Pham N. T. Diep Nghi Quoc Phan Quang-Cuong Pham ... Ngan Hoang Le Nhat Ho Pengtao Xie Daniel Sonntag Mathias Niepert VLM UQCV OOD 16 6 0 18 Nov 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 16 4 0 17 Aug 2023
Out-of-Distribution Detection for Monocular Depth Estimation Julia Hornauer Adrian Holzbock Vasileios Belagiannis UQCV 27 4 0 11 Aug 2023
Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time Image Deraining M. Tong Xu Yan Yongzhen Wang 18 0 0 19 Jul 2023
An Uncertainty Aided Framework for Learning based Liver $T_1ρ$ Mapping and Analysis Chaoxing Huang V. Wong Queenie Chan Winnie Chiu Wing Chu Weitian Chen MedIm 17 2 0 06 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 16 3 0 01 Jul 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution Vikrant Rangnekar Uddeshya Upadhyay Zeynep Akata Biplab Banerjee 32 4 0 27 May 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification Meng Wang Tian Lin Lianyu Wang Aidi Lin K. Zou ... Y. Liu C. Pang Xinjian Chen Haoyu Chen H. Fu 82 35 0 08 Apr 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 24 1 0 21 Feb 2023
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks Emanuele Ledda Giorgio Fumera Fabio Roli BDL UQCV 27 14 0 06 Feb 2023
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 43 21 0 07 Oct 2021
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 182 1,707 0 06 Jun 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015