ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.16897
  4. Cited By
Reliable Conflictive Multi-View Learning

Reliable Conflictive Multi-View Learning

24 February 2024
Cai Xu
Jiajun Si
Ziyu Guan
Wei Zhao
Yue Wu
Xiyue Gao
ArXivPDFHTML

Papers citing "Reliable Conflictive Multi-View Learning"

16 / 16 papers shown
Title
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
Xuyang Wang
Siyuan Duan
Qizhi Li
Guiduo Duan
Yuan Sun
Dezhong Peng
AAML
EDL
55
0
0
07 May 2025
Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification
Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification
Wulin Xie
Lian Zhao
Jiang Long
Xiaohuan Lu
Bingyan Nie
47
0
0
28 Jan 2025
Generalized Trusted Multi-view Classification Framework with
  Hierarchical Opinion Aggregation
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
Long Shi
Chuanqing Tang
Huangyi Deng
Cai Xu
Lei Xing
Badong Chen
EDL
27
0
0
06 Nov 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of
  Spatial and Temporal Dynamics
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
L. Zheng
Zhengyang Li
Chang Dong
W. Zhang
Lin Yue
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
18
1
0
16 Oct 2024
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction
  Prediction in Long Tail Distinction
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction
L. Zheng
Chang Dong
W. Zhang
Xin Chen
Lin Yue
Weitong Chen
16
0
0
16 Oct 2024
Dynamic Evidence Decoupling for Trusted Multi-view Learning
Dynamic Evidence Decoupling for Trusted Multi-view Learning
Ying Liu
Lihong Liu
Cai Xu
Xiangyu Song
Ziyu Guan
Wei Zhao
EDL
27
3
0
04 Oct 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDL
BDL
UQCV
42
5
0
07 Sep 2024
Evidential Deep Partial Multi-View Classification With Discount Fusion
Evidential Deep Partial Multi-View Classification With Discount Fusion
Haojian Huang
Zhe Liu
S. Letchmunan
Muhammet Deveci
Mingwei Lin
Weizhong Wang
40
4
0
23 Aug 2024
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal
  Data
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
Grigor Bezirganyan
Sana Sellami
Laure Berti-Équille
Sébastien Fournier
27
3
0
14 Jun 2024
Navigating Conflicting Views: Harnessing Trust for Learning
Navigating Conflicting Views: Harnessing Trust for Learning
Jueqing Lu
Lan Du
Wray L. Buntine
M. Jung
Joanna Dipnall
Belinda Gabbe
38
0
0
03 Jun 2024
Trusted Multi-view Learning with Label Noise
Trusted Multi-view Learning with Label Noise
Cai Xu
Yilin Zhang
Ziyu Guan
Wei Zhao
NoLa
EDL
47
4
0
18 Apr 2024
CREST: Cross-modal Resonance through Evidential Deep Learning for
  Enhanced Zero-Shot Learning
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
Haojian Huang
Xiaozhen Qiao
Zhuo Chen
Haodong Chen
Bingyu Li
Zhe Sun
Mulin. Chen
Xuelong Li
29
10
0
15 Apr 2024
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
Sahil Sidheekh
Pranuthi Tenali
Saurabh Mathur
Erik Blasch
Kristian Kersting
S. Natarajan
32
1
0
05 Mar 2024
Uncertainty Estimation for Multi-view Data: The Power of Seeing the
  Whole Picture
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
M. Jung
He Zhao
Joanna Dipnall
Belinda Gabbe
Lan Du
UQCV
EDL
50
12
0
06 Oct 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
1