:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhan, Qianshan, Zeng, Xiao-Jun
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2305.07741
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-transferable Pruning
by: Ding, Ruyi, et al.
Published: (2024)

An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
by: Alam, Md Ferdous, et al.
Published: (2023)

Active transfer learning for structural health monitoring
by: Poole, J., et al.
Published: (2025)

Offline-to-online hyperparameter transfer for stochastic bandits
by: Sharma, Dravyansh, et al.
Published: (2025)

Wildfire danger prediction optimization with transfer learning
by: Maggioros, Spiros, et al.
Published: (2024)

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

Meta-models for transfer learning in source localisation
by: Bull, Lawrence A., et al.
Published: (2023)

Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations
by: He, Chao, et al.
Published: (2024)

On the low-shot transferability of [V]-Mamba
by: Misra, Diganta, et al.
Published: (2024)

Copula-based transferable models for synthetic population generation
by: Jutras-Dubé, Pascal, et al.
Published: (2023)

Quantifying the value of positive transfer: An experimental case study
by: Hughes, Aidan J., et al.
Published: (2024)

Boosting-inspired online learning with transfer for railway maintenance
by: Risca, Diogo, et al.
Published: (2025)

Proxy-informed Bayesian transfer learning with unknown sources
by: Sloman, Sabina J., et al.
Published: (2024)

Fusing CFD and measurement data using transfer learning
by: Barklage, Alexander, et al.
Published: (2025)

A transfer learning framework for weak-to-strong generalization
by: Somerstep, Seamus, et al.
Published: (2024)

On the transferability of Sparse Autoencoders for interpreting compressed models
by: Gupte, Suchit, et al.
Published: (2025)

Heterogeneous transfer learning for high-dimensional regression with feature mismatch
by: Chang, Jae Ho, et al.
Published: (2024)

Evaluating the transferability potential of deep learning models for climate downscaling
by: Prasad, Ayush, et al.
Published: (2024)

Multi-modal cascade feature transfer for polymer property prediction
by: Obuchi, Kiichi, et al.
Published: (2025)

Foundation models for electronic health records: representation dynamics and transferability
by: Burkhart, Michael C., et al.
Published: (2025)

Transformers for dynamical systems learn transfer operators in-context
by: Bao, Anthony, et al.
Published: (2026)

Optimization of randomized neural networks for transfer operator approximation
by: Tabish, Mohammad, et al.
Published: (2026)

Augmented transfer regression learning for completely missing covariates
by: Zhao, Huali, et al.
Published: (2026)

Generalization error of min-norm interpolators in transfer learning
by: Song, Yanke, et al.
Published: (2024)

X-ray transferable polyrepresentation learning
by: Hryniewska-Guzik, Weronika, et al.
Published: (2025)

Features are fate: a theory of transfer learning in high-dimensional regression
by: Tahir, Javan, et al.
Published: (2024)

On the effective transfer of knowledge from English to Hindi Wikipedia
by: Das, Paramita, et al.
Published: (2024)

An adaptive transfer learning perspective on classification in non-stationary environments
by: Reeve, Henry W J
Published: (2024)

Physics-informed transfer learning for SHM via feature selection
by: Poole, J., et al.
Published: (2025)

Cross-functional transferability in universal machine learning interatomic potentials
by: Huang, Xu, et al.
Published: (2025)

Multi-fidelity aerodynamic data fusion by autoencoder transfer learning
by: Nieto-Centenero, Javier, et al.
Published: (2025)

Occam's model: Selecting simpler representations for better transferability estimation
by: Singh, Prabhant, et al.
Published: (2025)

Minimax optimal transfer learning for high-dimensional additive regression
by: Moon, Seung Hyun
Published: (2025)

Perch 2.0 transfers 'whale' to underwater tasks
by: Burns, Andrea, et al.
Published: (2025)

Model-agnostic information transfer and fusion for classification with label noise
by: Guojun, Zhu, et al.
Published: (2026)

Learning graphons from data: Random walks, transfer operators, and spectral clustering
by: Klus, Stefan, et al.
Published: (2025)

Survival and grade of the glioma prediction using transfer learning
by: Rubio, Santiago Valbuena, et al.
Published: (2024)

Avoiding spectral pollution for transfer operators using residuals
by: Herwig, April, et al.
Published: (2025)

Recurrent neural networks and transfer learning for elasto-plasticity in woven composites
by: Ghane, Ehsan, et al.
Published: (2023)

Quantum continual learning of quantum data realizing knowledge backward transfer
by: Situ, Haozhen, et al.
Published: (2022)