Cover Image

Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ayman, Afiya, Mukhopadhyay, Ayan, Laszka, Aron
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
by: Sivagnanam, Amutheezan, et al.
Published: (2024)

Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
by: Luo, Baiting, et al.
Published: (2025)

Forecasting and Mitigating Disruptions in Public Bus Transit Services
by: Han, Chaeeun, et al.
Published: (2024)

Decision Making in Non-Stationary Environments with Policy-Augmented Search
by: Pettet, Ava, et al.
Published: (2024)

Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks
by: Eghtesad, Taha, et al.
Published: (2023)

Information-Theoretic Requirements for Gradient-Based Task Affinity Estimation in Multi-Task Learning
by: Zhang, Jasper, et al.
Published: (2026)

Cross-Task Affinity Learning for Multitask Dense Scene Predictions
by: Sinodinos, Dimitrios, et al.
Published: (2024)

Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
by: He, Jinmin, et al.
Published: (2025)

Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
by: Li, Dongyue, et al.
Published: (2023)

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging
by: Shen, Li, et al.
Published: (2024)

Grid-Aware Charging and Operational Optimization for Mixed-Fleet Public Transit
by: Sen, Rishav, et al.
Published: (2026)

Dynamic Vehicle Routing Problem with Prompt Confirmation of Advance Requests
by: Sivagnanam, Amutheezan, et al.
Published: (2026)

Towards Principled Task Grouping for Multi-Task Learning
by: Wang, Chenguang, et al.
Published: (2024)

Adversarial Attacks on Hidden Tasks in Multi-Task Learning
by: Zhe, Yu, et al.
Published: (2024)

Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
by: Li, Dongyue, et al.
Published: (2024)

Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
by: Feng, Jinyuan, et al.
Published: (2024)

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
by: Chen, Anthony, et al.
Published: (2023)

Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)

Beyond Centralization: Provable Communication Efficient Decentralized Multi-Task Learning
by: Kang, Donghwa, et al.
Published: (2025)

Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
by: Dimitriadis, Nikolaos, et al.
Published: (2024)

One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning
by: Pu, Yuan, et al.
Published: (2025)

MT2ST: Adaptive Multi-Task to Single-Task Learning
by: Liu, Dong, et al.
Published: (2024)

Model Predictive Task Sampling for Efficient and Robust Adaptation
by: Wang, Qi, et al.
Published: (2025)

Task Addition in Multi-Task Learning by Geometrical Alignment
by: Yim, Soorin, et al.
Published: (2024)

Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
by: Speckmann, Marc, et al.
Published: (2025)

Scalable Multi-Task Transfer Learning for Molecular Property Prediction
by: Lee, Chanhui, et al.
Published: (2024)

Sample Efficient Robot Learning in Supervised Effect Prediction Tasks
by: Eren, Mehmet Arda, et al.
Published: (2024)

Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
by: Jewett, Jeff, et al.
Published: (2025)

Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
by: Cui, Suhan, et al.
Published: (2024)

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling
by: Corrado, Nicholas E., et al.
Published: (2026)

Attacking All Tasks at Once Using Adversarial Examples in Multi-Task Learning
by: Zhang, Lijun, et al.
Published: (2023)

Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism
by: Xi, Xiangming, et al.
Published: (2024)

Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
by: Kumar, Varun, et al.
Published: (2024)

Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
by: Lin, Jiabin, et al.
Published: (2024)

Modular Multi-Task Learning for Chemical Reaction Prediction
by: Pang, Jiayun, et al.
Published: (2026)

A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
by: Solow, William, et al.
Published: (2026)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)

Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction
by: Moroni, Claudio, et al.
Published: (2024)

STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
by: Sherif, Ammar, et al.
Published: (2023)