Copertina

A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Qingyue, Fu, Haohao, Huang, Guanbo, Liang, Yaoyuan, Chu, Chang, Peng, Tianren, Wu, Yanru, Li, Qi, Li, Yang, Huang, Shao-Lun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
di: Zhang, Qingyue, et al.
Pubblicazione: (2026)

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

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

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

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

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

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

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

Exploring Iterative Refinement with Diffusion Models for Video Grounding
di: Liang, Xiao, et al.
Pubblicazione: (2023)

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

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

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

Post-Transfer Learning Statistical Inference in High-Dimensional Regression
di: Tam, Nguyen Vu Khai, et al.
Pubblicazione: (2025)

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

Combined Dictionary Unfolding Network with Gradient-Adaptive Fidelity for Transferable Multi-Source Fusion
di: Luo, Ge, et al.
Pubblicazione: (2026)

DealMaTe: Multi-Dimensional Material Transfer via Diffusion Transformer
di: Huang, Nisha, et al.
Pubblicazione: (2026)

Investigation of Atomized Droplet Characteristics and Heat Transfer Performance in Minimum Quantity Lubrication Cutting Technology
di: Donghui Li, et al.
Pubblicazione: (2024)

Multi‐modal mass spectrometry imaging of a single tissue section
di: Lingpeng Zhan, et al.
Pubblicazione: (2024)

Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training
di: Luo, Xiangyang, et al.
Pubblicazione: (2026)

Transfer Learning Under High-Dimensional Network Convolutional Regression Model
di: Wang, Liyuan, et al.
Pubblicazione: (2025)

Transfer Connection Optimization of Urban Rail Transit Based on Transfer Perception
di: Junsheng Huang, et al.
Pubblicazione: (2026)

Multi-Source Domain Transfer Learning for Accurate Property Prediction in Two-Dimensional Materials
di: Zhang, Huiyang, et al.
Pubblicazione: (2026)

Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework
di: Xing, Peng, et al.
Pubblicazione: (2024)

High‐Dimensional Chiral Transfer by Bilaterally Encircling Exceptional Points
di: Kang Li, et al.
Pubblicazione: (2025)

High‐Performance Anode Catalysts for Direct Liquid Fuel Cells Supported by Three‐Dimensional Carbon
di: Xun Jiang, et al.
Pubblicazione: (2026)

Recent Developments on Statistical Transfer Learning
di: Zhengyu Zhu, et al.
Pubblicazione: (2025)

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge
di: Wang, Jingge, et al.
Pubblicazione: (2022)

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

Active Drive Voltage Balancing Control Based on Charge Transfer Method for Series‐Connected SiC MOSFETs Application
di: Bin Yang, et al.
Pubblicazione: (2026)

Transfer Learning for High Dimensional Robust Regression
di: Yuan, Xiaohui, et al.
Pubblicazione: (2024)

Dynamic Parameter Optimization for Highly Transferable Transformation-Based Attacks
di: Liang, Jiaming, et al.
Pubblicazione: (2025)

Semiconductive Coordination Polymer with Multi‐Channel Charge Transfer for High‐Performance Direct X‐ray Detection
di: Xiao‐Qing Yu, et al.
Pubblicazione: (2025)

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective
di: Wang, Yuyao, et al.
Pubblicazione: (2026)

Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
di: Chen, Jiachen, et al.
Pubblicazione: (2024)

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation
di: Chang, Shuyu, et al.
Pubblicazione: (2026)

Newton's method and its hybrid with machine learning for Navier-Stokes Darcy Models discretized by mixed element methods
di: Huang, Jianguo, et al.
Pubblicazione: (2024)

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
di: He, Zelin, et al.
Pubblicazione: (2024)

Energy Transfer‐Mediated, Triplet Excited State Proton Transfer‐Enabled Dearomatization of Indole Derivatives with Amide Functionalities
di: Li Yang, et al.
Pubblicazione: (2025)

Burst Image Super-Resolution via Multi-Cross Attention Encoding and Multi-Scan State-Space Decoding
di: Huang, Tengda, et al.
Pubblicazione: (2025)

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