Imagen de Portada

Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Qingyue, Chu, Chang, Fu, Haohao, Peng, Tianren, Wu, Yanru, Huang, Guanbo, Li, Yang, Huang, Shao-Lun
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
por: Zhang, Qingyue, et al.
Publicado: (2025)

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
por: Zhang, Qingyue, et al.
Publicado: (2025)

OSDTW: Optimal Shared Depth and Task Weighting for Long-Tailed Recognition
por: Chu, Chang, et al.
Publicado: (2026)

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

Practical Transferability Estimation for Image Classification Tasks
por: Tan, Yang, et al.
Publicado: (2021)

On Theoretical Interpretations of Concept-Based In-Context Learning
por: Tang, Huaze, et al.
Publicado: (2025)

MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments
por: Du, Honghui, et al.
Publicado: (2025)

Understanding Knowledge Transferability for Transfer Learning: A Survey
por: Wang, Haohua, et al.
Publicado: (2025)

Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
por: Su, Zian, et al.
Publicado: (2024)

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
por: Ge, Ling, et al.
Publicado: (2024)

Transferability Estimation for Semantic Segmentation Task
por: Tan, Yang, et al.
Publicado: (2021)

ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching
por: Huang, Guanbo, et al.
Publicado: (2025)

Selecting Subsets of Source Data for Transfer Learning with Applications in Metal Additive Manufacturing
por: Tang, Yifan, et al.
Publicado: (2024)

Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
por: Gong, Chenqi, et al.
Publicado: (2025)

Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs
por: Yuan, Leitao, et al.
Publicado: (2026)

Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
por: Chen, Guanyu, et al.
Publicado: (2026)

Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
por: Chang, Da, et al.
Publicado: (2025)

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
por: Zhang, Ming, et al.
Publicado: (2024)

CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning
por: Guo, Tengda, et al.
Publicado: (2026)

Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
por: Wu, Leming, et al.
Publicado: (2025)

TMT: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation
por: Zhang, Enming, et al.
Publicado: (2025)

EmergentBridge: Improving Zero-Shot Cross-Modal Transfer in Unified Multimodal Embedding Models
por: Xie, Jincheng, et al.
Publicado: (2026)

Robust Knowledge Transfer in Tiered Reinforcement Learning
por: Huang, Jiawei, et al.
Publicado: (2023)

MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
por: Deng, Yimin, et al.
Publicado: (2026)

DTL: Disentangled Transfer Learning for Visual Recognition
por: Fu, Minghao, et al.
Publicado: (2023)

ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language Models
por: Zhong, Ziqi, et al.
Publicado: (2025)

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

Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
por: Wu, Runqing, et al.
Publicado: (2025)

MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field
por: Yang, Zijiang, et al.
Publicado: (2023)

A Multi-Source Retrieval Question Answering Framework Based on RAG
por: Wu, Ridong, et al.
Publicado: (2024)

WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
por: Ma, Jiawei, et al.
Publicado: (2024)

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
por: Bi, Ziqian, et al.
Publicado: (2025)

OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion
por: Wu, Yizhuo, et al.
Publicado: (2025)

DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL
por: Wu, Lixia, et al.
Publicado: (2024)

Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
por: Zhang, Enming, et al.
Publicado: (2025)

Orchard: An Open-Source Agentic Modeling Framework
por: Peng, Baolin, et al.
Publicado: (2026)

Depth Estimation using Weighted-loss and Transfer Learning
por: Hafeez, Muhammad Adeel, et al.
Publicado: (2024)

Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
por: Wang, Sijia, et al.
Publicado: (2025)

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

The Statistical Cost of Adaptation in Multi-Source Transfer Learning
por: Chakraborty, Abhinav, et al.
Publicado: (2026)