Trung Le

24

Papers

409

Total Citations

Papers (24)

Dual Discriminator Generative Adversarial Nets

NeurIPS 2017arXiv

Erasing Undesirable Influence in Diffusion Models

Dual Space Gradient Descent for Online Learning

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

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

Improving Generalization with Flat Hilbert Bayesian Inference

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Optimal Transport for Structure Learning Under Missing Data

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

Improving Adversarial Robustness by Enforcing Local and Global Compactness

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

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

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

Sharpness-Aware Data Generation for Zero-shot Quantization

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

STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers

Stochastic Multiple Target Sampling Gradient Descent

AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity

Optimal Transport Model Distributional Robustness

Flat Seeking Bayesian Neural Networks

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning