Tung Pham

Affiliations:
  • VinAI Research, Vietnam


According to our database1, Tung Pham authored at least 25 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians.
CoRR, 2024

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers.
CoRR, 2024

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Robust Contrastive Learning With Theory Guarantee.
CoRR, 2023

RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.
CoRR, 2023

Sharpness & Shift-Aware Self-Supervised Learning.
CoRR, 2023

2022
Improving Mini-batch Optimal Transport via Partial Transportation.
Proceedings of the International Conference on Machine Learning, 2022

On Transportation of Mini-batches: A Hierarchical Approach.
Proceedings of the International Conference on Machine Learning, 2022

Entropic Gromov-Wasserstein between Gaussian Distributions.
Proceedings of the International Conference on Machine Learning, 2022

On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Entropic Gromov-Wasserstein between Gaussian Distributions.
CoRR, 2021

An Efficient Mini-batch Method via Partial Transportation.
CoRR, 2021

On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity.
CoRR, 2021

On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation.
CoRR, 2021

BoMb-OT: On Batch of Mini-batches Optimal Transport.
CoRR, 2021

On Robust Optimal Transport: Computational Complexity and Barycenter Computation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein.
Proceedings of the 9th International Conference on Learning Representations, 2021

Distributional Sliced-Wasserstein and Applications to Generative Modeling.
Proceedings of the 9th International Conference on Learning Representations, 2021

Point-set Distances for Learning Representations of 3D Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm.
Proceedings of the 37th International Conference on Machine Learning, 2020

2017
Fast support vector clustering.
Vietnam. J. Comput. Sci., 2017

Scalable Support Vector Clustering Using Budget.
CoRR, 2017

2016
Fast Support Vector Clustering.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016


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