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2011.07191
Cited By
On the Benefits of Early Fusion in Multimodal Representation Learning
14 November 2020
George M. Barnum
Sabera Talukder
Yisong Yue
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ArXiv (abs)
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Papers citing
"On the Benefits of Early Fusion in Multimodal Representation Learning"
7 / 7 papers shown
Title
I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
Jiayi Xin
Sukwon Yun
Jie Peng
Inyoung Choi
Jenna L. Ballard
Tianlong Chen
Qi Long
MoE
26
0
0
25 May 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
145
14
0
03 Jan 2025
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Dexuan Ding
Lei Wang
Liyun Zhu
Tom Gedeon
Piotr Koniusz
134
9
0
02 Oct 2024
GraFT: Gradual Fusion Transformer for Multimodal Re-Identification
Haoli Yin
Jiayao Li
Eva Schiller
Luke McDermott
Daniel Cummings
89
7
0
25 Oct 2023
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
Azin Asgarian
Rohit Saha
Daniel Jakubovitz
Julia Peyre
62
2
0
15 Jan 2023
Learning Multimodal Data Augmentation in Feature Space
Zichang Liu
Zhiqiang Tang
Xingjian Shi
Aston Zhang
Mu Li
Anshumali Shrivastava
A. Wilson
98
23
0
29 Dec 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Jiayuan He
Daniel V. Smith
Flora D. Salim
AI4TS
75
37
0
06 Jun 2022
1