Imagen de Portada

REVELIO -- Universal Multimodal Task Load Estimation for Cross-Domain Generalization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Oppelt, Maximilian P., Foltyn, Andreas, Lang-Richter, Nadine R., Eskofier, Bjoern M.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Comprehensive Signal Quality Evaluation of a Wearable Textile ECG Garment: A Sex-Balanced Study
por: Oppelt, Maximilian P., et al.
Publicado: (2025)

Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels
por: Ott, Jonathan, et al.
Publicado: (2025)

Velocity-Based Channel Charting with Spatial Distribution Map Matching
por: Stahlke, Maximilian, et al.
Publicado: (2023)

ContraLog: Log File Anomaly Detection with Contrastive Learning and Masked Language Modeling
por: Dietz, Simon, et al.
Publicado: (2026)

Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
por: Oppelt, Maximilian P, et al.
Publicado: (2020)

FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks
por: Panda, Mahadev Prasad, et al.
Publicado: (2024)

How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
por: Dietz, Simon, et al.
Publicado: (2024)

Algorithms for the preordering problem and their application to the task of jointly clustering and ordering the accounts of a social network
por: Irmai, Jannik, et al.
Publicado: (2025)

Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
por: Loeffler, Christoffer, et al.
Publicado: (2022)

Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks
por: Rahman, Arafat, et al.
Publicado: (2025)

Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation
por: Nieth, Björn, et al.
Publicado: (2024)

A Cross-Domain Benchmark for Active Learning
por: Werner, Thorben, et al.
Publicado: (2024)

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
por: Topollai, Kristi, et al.
Publicado: (2025)

Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI
por: Becker, Katinka, et al.
Publicado: (2026)

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
por: Xiong, Ziliang, et al.
Publicado: (2023)

Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
por: Zhang, Junru, et al.
Publicado: (2024)

Graph Augmentation for Cross Graph Domain Generalization
por: Chen, Guanzi, et al.
Publicado: (2025)

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

Transferability-Guided Cross-Domain Cross-Task Transfer Learning
por: Tan, Yang, et al.
Publicado: (2022)

Cross-Domain Generalization of Multimodal LLMs for Global Photovoltaic Assessment
por: Guo, Muhao, et al.
Publicado: (2025)

Partial Optimality in Cubic Correlation Clustering for General Graphs
por: Stein, David, et al.
Publicado: (2025)

CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis Classification
por: Ma, Pingchuan, et al.
Publicado: (2025)

AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
por: Liang, Fuhang, et al.
Publicado: (2025)

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
por: Qi, Jingyuan, et al.
Publicado: (2023)

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
por: Xu, Muhao, et al.
Publicado: (2024)

From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
por: Adusumilli, Karun, et al.
Publicado: (2026)

Accelerating k-Means Clustering with Cover Trees
por: Lang, Andreas, et al.
Publicado: (2024)

On Inverse Problems, Parameter Estimation, and Domain Generalization
por: Pereg, Deborah
Publicado: (2025)

Aurora: Towards Universal Generative Multimodal Time Series Forecasting
por: Wu, Xingjian, et al.
Publicado: (2025)

On Robust Cross Domain Alignment
por: Chakrabarty, Anish, et al.
Publicado: (2024)

GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge
por: Dugan, Liam, et al.
Publicado: (2025)

Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World
por: Zheng, Yu
Publicado: (2025)

UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
por: Lin, Yan, et al.
Publicado: (2024)

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning
por: Ma, Yufei, et al.
Publicado: (2024)

Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
por: Chung, Chanyoung, et al.
Publicado: (2025)

Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning
por: Huang, Yuqing, et al.
Publicado: (2024)

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
por: Kang, Suhyun, et al.
Publicado: (2024)

Domain Fusion Controllable Generalization for Cross-Domain Time Series Forecasting from Multi-Domain Integrated Distribution
por: Ma, Xiangkai, et al.
Publicado: (2024)

Multimodal Late Fusion Model for Problem-Solving Strategy Classification in a Machine Learning Game
por: Witt, Clemens, et al.
Publicado: (2025)

Cross Domain Evaluation of Multimodal Chain-of-Thought Reasoning of different datasets into the Amazon CoT Framework
por: Tiwari, Nitya, et al.
Publicado: (2025)