Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction

22 July 2022

Hu Wang

Jianpeng Zhang

Yuanhong Chen

Congbo Ma

Jodie Avery

Louise Hull

G. Carneiro

UQCV

ArXiv (abs)PDF HTML

Papers citing "Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction"

34 / 34 papers shown

Title
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality Hu Wang Yuanhong Chen Congbo Ma Yuan Zhang Jodie Avery Gustavo Carneiro Gustavo Carneiro 59 33 0 02 Oct 2023
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 233 1,155 0 07 Jul 2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning Yanbei Chen Yongqin Xian A. Sophia Koepke Ying Shan Zeynep Akata 118 83 0 22 Apr 2021
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images Yanwen Li Luyang Luo Huangjing Lin Hao Chen Pheng-Ann Heng 67 53 0 07 Apr 2021
Localizing Visual Sounds the Hard Way Honglie Chen Weidi Xie Triantafyllos Afouras Arsha Nagrani Andrea Vedaldi Andrew Zisserman ObjD 85 190 0 06 Apr 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning Mandela Patrick Yuki M. Asano Bernie Huang Ishan Misra Florian Metze Joao Henriques Andrea Vedaldi AI4TS 88 35 0 18 Mar 2021
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer Wenxuan Wang Chen Chen Meng Ding Jiangyun Li Hong Yu Sen Zha ViT MedIm 94 728 0 07 Mar 2021
Trusted Multi-View Classification Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 59 171 0 03 Feb 2021
Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency Xiangde Luo Wenjun Liao Jieneng Chen Tao Song Yinan Chen Shichuan Zhang N. Chen Guotai Wang Shaoting Zhang 73 227 0 13 Dec 2020
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 343 1,927 0 12 Nov 2020
Deep Multimodal Fusion by Channel Exchanging Yikai Wang Wenbing Huang Gang Hua Tingyang Xu Yu Rong Junzhou Huang 61 244 0 10 Nov 2020
Modality-Pairing Learning for Brain Tumor Segmentation Yixin Wang Yao Zhang Feng Hou Yang Liu Jiang Tian Cheng Zhong Yang Zhang Zhiqiang He 130 68 0 19 Oct 2020
Soft Expert Reward Learning for Vision-and-Language Navigation Hu Wang Qi Wu Chunhua Shen 53 51 0 21 Jul 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty Miguel A. B. Monteiro Loic Le Folgoc Daniel Coelho De Castro Nick Pawlowski Bernardo Marques Konstantinos Kamnitsas Mark van der Wilk Ben Glocker UQCV BDL 45 114 0 10 Jun 2020
Unpaired Multi-modal Segmentation via Knowledge Distillation Qi Dou Quande Liu Pheng Ann Heng Ben Glocker 72 177 0 06 Jan 2020
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 101 291 0 01 Oct 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 124 136 0 07 Jul 2019
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 66 204 0 07 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 68 88 0 30 May 2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge Xiahai Zhuang Lei Li Christian Payer Darko Štern M. Urschler ... Sebastien Ourselin R. Mohiaddin J. Keegan D. Firmin Guang Yang 79 272 0 21 Feb 2019
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 159 1,344 0 30 Oct 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 120 114 0 02 Jul 2018
Real-time Prediction of Segmentation Quality Robert Robinson Ozan Oktay Wenjia Bai V. Valindria M. Sanghvi ... S. Neubauer S. Petersen Chris Page Daniel Rueckert Ben Glocker 49 55 0 16 Jun 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 76 575 0 13 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 76 380 0 08 Jun 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 185 1,002 0 05 Jun 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction Jay Heo Haebeom Lee Saehoon Kim Juho Lee Kwang Joon Kim Eunho Yang Sung Ju Hwang OOD 74 87 0 24 May 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,719 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,174 0 13 Aug 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 155 6,551 0 21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 238 8,716 0 15 Jun 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 279 751 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015