Cover Image

Characterization of Transfer Using Multi-task Learning Curves

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Millinghoffer, András, Bolgár, Bence, Antal, Péter
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DTI-GP: Bayesian operations for drug-target interactions using deep kernel Gaussian processes
by: Bolgár, Bence, et al.
Published: (2025)

Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning
by: Antos, András, et al.
Published: (2025)

BandiK: Efficient Multi-Task Decomposition Using a Multi-Bandit Framework
by: Millinghoffer, András, et al.
Published: (2025)

Unified Causality Analysis Based on the Degrees of Freedom
by: Telcs, András, et al.
Published: (2024)

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)

Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
by: Tian, Ye, et al.
Published: (2022)

Offline Multi-task Transfer RL with Representational Penalization
by: Bose, Avinandan, et al.
Published: (2024)

Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation
by: Lee, Dong Bok, et al.
Published: (2024)

Conflict-Averse Gradient Descent for Multi-task Learning
by: Liu, Bo, et al.
Published: (2021)

Enhancing pretraining efficiency for medical image segmentation via transferability metrics
by: Hidy, Gábor, et al.
Published: (2024)

Monotonic Transformation Invariant Multi-task Learning
by: Murthy, Surya, et al.
Published: (2025)

Multi-task Online Learning for Probabilistic Load Forecasting
by: Zaballa, Onintze, et al.
Published: (2025)

Interpretable Multi-task Learning with Shared Variable Embeddings
by: Żelaszczyk, Maciej, et al.
Published: (2024)

Distributed Networked Multi-task Learning
by: Hong, Lingzhou, et al.
Published: (2024)

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
by: Fan, Qingliang, et al.
Published: (2025)

Circuits, Features, and Heuristics in Molecular Transformers
by: Varadi, Kristof, et al.
Published: (2025)

Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
by: Mitsiou, Nikos A., et al.
Published: (2025)

Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
by: Sousa, Rita T., et al.
Published: (2025)

Adaptive Multi-task Learning for Probabilistic Load Forecasting
by: Zaballa, Onintze, et al.
Published: (2025)

Multi-task Learning for Radar Signal Characterisation
by: Huang, Zi, et al.
Published: (2023)

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
by: Bejnordi, Babak Ehteshami, et al.
Published: (2024)

A Large Dimensional Analysis of Multi-task Semi-Supervised Learning
by: Leger, Victor, et al.
Published: (2024)

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
by: Yoo, Minjong, et al.
Published: (2024)

Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
by: Sui, Yang, et al.
Published: (2025)

Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning
by: Brealy, Simon M., et al.
Published: (2025)

Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
by: Zhu, Shijie, et al.
Published: (2025)

ColNet: Collaborative Optimization in Decentralized Federated Multi-task Learning Systems
by: Feng, Chao, et al.
Published: (2025)

SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant
by: Li, Chunna, et al.
Published: (2025)

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
by: Subramanian, Shashank, et al.
Published: (2023)

Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning
by: Lee, Gawon, et al.
Published: (2025)

Late Fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters
by: Bhattacharya, Sohom, et al.
Published: (2025)

Disentangling Representations through Multi-task Learning
by: Vafidis, Pantelis, et al.
Published: (2024)

Parameter-efficient Quantum Multi-task Learning
by: Cowlessur, Hevish, et al.
Published: (2026)

Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning
by: Zhang, Mingliang, et al.
Published: (2024)

Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)

Learning Parametric Nitrogen Fertilizer Response Curves Using Neuro Symbolic Regression
by: Morales, Giorgio, et al.
Published: (2026)

Multi-task learning for virtual flow metering
by: Sandnes, Anders T., et al.
Published: (2021)

Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning
by: Suárez, Joseph, et al.
Published: (2025)

Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
by: Mukherjee, Subhojyoti, et al.
Published: (2024)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)