Toan Tran

papers

330

total citations

papers (11)

Exploiting Domain-Specific Features to Enhance Domain Generalization

NEURIPS 2021arXiv

169

citations

Domain Invariant Representation Learning with Domain Density Transformations

NEURIPS 2021arXiv

107

citations

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

NEURIPS 2021arXiv

citations

Stochastic Multiple Target Sampling Gradient Descent

NEURIPS 2022arXiv

citations

Boosting Multiple Views for pretrained-based Continual Learning

ICLR 2025

citations

Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology

ICCV 2023arXiv

citations

Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning

CVPR 2025

citations

Learning Fractional White Noises in Neural Stochastic Differential Equations

NEURIPS 2022

citations

Toan Tran

papers (11)

Exploiting Domain-Specific Features to Enhance Domain Generalization

Domain Invariant Representation Learning with Domain Density Transformations

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

Stochastic Multiple Target Sampling Gradient Descent

Boosting Multiple Views for pretrained-based Continual Learning

Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology

On Inference Stability for Diffusion Models

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift

Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning

Learning Fractional White Noises in Neural Stochastic Differential Equations

papers (11)

Exploiting Domain-Specific Features to Enhance Domain Generalization

Domain Invariant Representation Learning with Domain Density Transformations

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

Stochastic Multiple Target Sampling Gradient Descent

Boosting Multiple Views for pretrained-based Continual Learning

Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology

On Inference Stability for Diffusion Models

Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift

Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning

Learning Fractional White Noises in Neural Stochastic Differential Equations