Dinh Phung

papers

581

total citations

papers (21)

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation

CVPR 2024arXiv

citations

Improving Adversarial Robustness by Enforcing Local and Global Compactness

ECCV 2020arXiv

citations

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

NEURIPS 2021arXiv

citations

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning

CVPR 2024arXiv

citations

Stochastic Multiple Target Sampling Gradient Descent

NEURIPS 2022arXiv

citations

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective

ICCV 2025arXiv

citations

Flat Seeking Bayesian Neural Networks

NEURIPS 2023arXiv

citations

Taming Stable Diffusion for Text to 360 Panorama Image Generation

CVPR 2024arXiv

citations

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting

CVPR 2025arXiv

citations

Optimal Transport for Structure Learning Under Missing Data

ICML 2024arXiv

citations

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

ICML 2024arXiv

citations

Optimal Transport Model Distributional Robustness

NEURIPS 2023arXiv

citations

Boosting Multiple Views for pretrained-based Continual Learning

ICLR 2025

citations

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

NEURIPS 2023arXiv

citations

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

CVPR 2025arXiv

citations

Enhancing Dataset Distillation via Non-Critical Region Refinement

CVPR 2025arXiv

citations

OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling

NEURIPS 2020

citations

STEM: An Approach to Multi-Source Domain Adaptation With Guarantees

ICCV 2021

citations

Dinh Phung

papers (21)

Exploiting Domain-Specific Features to Enhance Domain Generalization

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Bridging Global Context Interactions for High-Fidelity Image Completion

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation

Improving Adversarial Robustness by Enforcing Local and Global Compactness

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

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning

Stochastic Multiple Target Sampling Gradient Descent

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective

Flat Seeking Bayesian Neural Networks

Taming Stable Diffusion for Text to 360 Panorama Image Generation

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting

Optimal Transport for Structure Learning Under Missing Data

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Optimal Transport Model Distributional Robustness

Boosting Multiple Views for pretrained-based Continual Learning

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

Enhancing Dataset Distillation via Non-Critical Region Refinement

OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling

STEM: An Approach to Multi-Source Domain Adaptation With Guarantees

papers (21)

Exploiting Domain-Specific Features to Enhance Domain Generalization

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Bridging Global Context Interactions for High-Fidelity Image Completion

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation

Improving Adversarial Robustness by Enforcing Local and Global Compactness

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

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning

Stochastic Multiple Target Sampling Gradient Descent

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective

Flat Seeking Bayesian Neural Networks

Taming Stable Diffusion for Text to 360 Panorama Image Generation

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting

Optimal Transport for Structure Learning Under Missing Data

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Optimal Transport Model Distributional Robustness

Boosting Multiple Views for pretrained-based Continual Learning

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

Enhancing Dataset Distillation via Non-Critical Region Refinement

OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling

STEM: An Approach to Multi-Source Domain Adaptation With Guarantees