Trung Le

12

Papers

50

Total Citations

Papers (12)

Erasing Undesirable Influence in Diffusion Models

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

Improving Generalization with Flat Hilbert Bayesian Inference

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models

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

Sharpness-Aware Data Generation for Zero-shot Quantization

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

Optimal Transport for Structure Learning Under Missing Data

Enhancing Dataset Distillation via Non-Critical Region Refinement

A Good Teacher Adapts Their Knowledge for Distillation

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