:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wenderoth, Laura
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.00725
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Measuring Cross-Modal Interactions in Multimodal Models
by: Wenderoth, Laura, et al.
Published: (2024)

Diagnosing Medical Datasets with Training Dynamics
by: Wenderoth, Laura
Published: (2024)

HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
by: Hemker, Konstantin, et al.
Published: (2023)

MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
by: Li, Yanjie, et al.
Published: (2024)

A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
by: Guarrasi, Valerio, et al.
Published: (2024)

Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
by: Lee, Seunghan, et al.
Published: (2026)

MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion
by: Zheng, Wugeng, et al.
Published: (2026)

MedMIX: Modality-Internal Expert Fusion for Multimodal Medical Diagnosis
by: Cho, Seungik, et al.
Published: (2026)

Exploring Fusion Strategies for Multimodal Vision-Language Systems
by: Willis, Regan, et al.
Published: (2025)

Exploring Modality Disruption in Multimodal Fake News Detection
by: Liu, Moyang, et al.
Published: (2025)

Dynamic Prompt Fusion for Multi-Task and Cross-Domain Adaptation in LLMs
by: Hu, Xin, et al.
Published: (2025)

Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
by: Borazjani, Kasra, et al.
Published: (2025)

MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
by: Nedungadi, Vishal, et al.
Published: (2024)

Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion
by: Keshvarikhojasteh, Hassan, et al.
Published: (2026)

Challenges of Multi-Modal Coreset Selection for Depth Prediction
by: Moskvoretskii, Viktor, et al.
Published: (2025)

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb
by: Swati, Swati, et al.
Published: (2024)

Multi-Modal Data Fusion for Moisture Content Prediction in Apple Drying
by: Li, Shichen, et al.
Published: (2025)

AVP-Fusion: Adaptive Multi-Modal Fusion and Contrastive Learning for Two-Stage Antiviral Peptide Identification
by: Wen, Xinru, et al.
Published: (2025)

Improving Pediatric Emergency Department Triage with Modality Dropout in Late Fusion Multimodal EHR Models
by: Yang, Tyler, et al.
Published: (2026)

TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution
by: Zhu, Yinlin, et al.
Published: (2026)

Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
by: Sidheekh, Sahil, et al.
Published: (2024)

Topological Eigenvalue Theorems for Tensor Analysis in Multi-Modal Data Fusion
by: Katende, Ronald
Published: (2024)

A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR
by: Islam, Saidul, et al.
Published: (2024)

DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction
by: Ouyang, Xueqiang, et al.
Published: (2025)

TADS: Task-Aware Data Selection for Multi-Task Multimodal Pre-Training
by: Cheng, Guanjie, et al.
Published: (2026)

MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting
by: Hao, Shule, et al.
Published: (2025)

Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification
by: Oladunni, Timothy, et al.
Published: (2025)

Multi-Modal Sensor Fusion for Proactive Blockage Prediction in mmWave Vehicular Networks
by: Nazar, Ahmad M., et al.
Published: (2025)

Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning
by: Yuan, Hongyi, et al.
Published: (2024)

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs
by: Radwan, Yousef A., et al.
Published: (2026)

Dementia Insights: A Context-Based MultiModal Approach
by: Mehdoui, Sahar Sinene, et al.
Published: (2025)

Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion
by: Li, Jiagen, et al.
Published: (2025)

Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
by: Li, Xingyu, et al.
Published: (2024)

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
by: Sheng, Xiang-Rong, et al.
Published: (2024)

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
by: Yuan, Liangqi, et al.
Published: (2023)

Robust Anomaly Detection through Multi-Modal Autoencoder Fusion for Small Vehicle Damage Detection
by: Khan, Sara, et al.
Published: (2025)

One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical Data
by: Golovanevsky, Michal, et al.
Published: (2023)

Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
by: Azam, Shoaib, et al.
Published: (2022)

StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2024)

Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
by: Yang, Hyun Jong, et al.
Published: (2025)