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Predictive Dynamic Fusion

7 June 2024

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Papers citing "Predictive Dynamic Fusion"

32 / 32 papers shown

Title
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks Xuyang Wang Siyuan Duan Qizhi Li Guiduo Duan Yuan Sun Dezhong Peng AAML EDL 174 0 0 07 May 2025
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction Luhui Cai Weiming Zeng Hongyu Chen Hua Zhang Yueyang Li Hongjie Yan Lingbin Bian Lingbin Bian Wai Ting Siok Nizhuan Wang MedIm 133 3 0 20 Jun 2024
Task-Customized Mixture of Adapters for General Image Fusion Pengfei Zhu Yang Sun Bing Cao Qinghua Hu MoMe 104 23 0 19 Mar 2024
Provable Dynamic Fusion for Low-Quality Multimodal Data Qingyang Zhang Haitao Wu Changqing Zhang Qinghua Hu Huazhu Fu Qiufeng Wang Xi Peng 108 62 0 03 Jun 2023
Calibrating Multimodal Learning Huanrong Zhang Changqing Zhang Bing Wu Huazhu Fu Qiufeng Wang Q. Hu 88 21 0 02 Jun 2023
Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion Yiming Sun Bing Cao Pengfei Zhu Qinghua Hu MoE 68 36 0 02 Feb 2023
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 227 286 0 19 May 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 84 230 0 25 Apr 2022
Dynamic Multimodal Fusion Zihui Xue R. Marculescu 111 51 0 31 Mar 2022
Balanced Multimodal Learning via On-the-fly Gradient Modulation Xiaokang Peng Yake Wei Andong Deng Dong Wang Di Hu 83 214 0 29 Mar 2022
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions Huan Ma Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang Q. Hu EDL UQCV 128 42 0 11 Nov 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 292 354 0 01 Oct 2021
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 240 1,164 0 07 Jul 2021
What Makes Multi-modal Learning Better than Single (Provably) Yu Huang Chenzhuang Du Zihui Xue Xuanyao Chen Hang Zhao Longbo Huang 96 267 0 08 Jun 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,375 0 08 Oct 2020
Gradients as a Measure of Uncertainty in Neural Networks Jinsol Lee Ghassan AlRegib UQCV 78 63 0 18 Aug 2020
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 103 442 0 07 Oct 2019
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 122 291 0 01 Oct 2019
Supervised Multimodal Bitransformers for Classifying Images and Text Douwe Kiela Suvrat Bhooshan Hamed Firooz Ethan Perez Davide Testuggine 146 247 0 06 Sep 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 212 1,958 0 06 Jun 2019
What Makes Training Multi-Modal Classification Networks Hard? Weiyao Wang Du Tran Matt Feiszli 158 453 0 29 May 2019
MFAS: Multimodal Fusion Architecture Search Juan-Manuel Perez-Rua Valentin Vielzeuf S. Pateux M. Baccouche F. Jurie 80 178 0 15 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 137 1,013 0 21 Feb 2019
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks Henggang Cui Vladan Radosavljevic Fang-Chieh Chou Tsung-Han Lin Thi Nguyen Tzu-Kuo Huang J. Schneider Nemanja Djuric 75 616 0 18 Sep 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 192 1,005 0 05 Jun 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 88 592 0 13 Feb 2018
Tensor Fusion Network for Multimodal Sentiment Analysis Amir Zadeh Minghai Chen Soujanya Poria Min Zhang Louis-Philippe Morency 89 1,236 0 23 Jul 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,082 0 08 Jun 2017
Data Noising as Smoothing in Neural Network Language Models Ziang Xie Sida I. Wang Jiwei Li Daniel Levy Allen Nie Dan Jurafsky A. Ng 57 239 0 07 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 850 5,847 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 181 3,482 0 07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 897 9,364 0 06 Jun 2015