Tung Pham

30 papers A* 11A 1B 1Journal 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization.
CoRR
Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025 A* conf
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning.
CVPR
Huu Binh Ta, Duc Nguyen, Quyen Tran, Toan Tran, Tung Pham
2024 A* conf
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks.
AAAI
Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran
2024 J jnl
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers.
CoRR
Anh Bui, Vy Vo, Tung Pham, Dinh Q. Phung, Trung Le
2024 A* conf
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization.
NeurIPS
Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2024 J jnl
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians.
CoRR
Ngoc-Hai Nguyen, Dung Le, Hoang-Phi Nguyen, Tung Pham, Nhat Ho
2023 J jnl
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.
CoRR
Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le
2023 J jnl
Robust Contrastive Learning With Theory Guarantee.
CoRR
Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le
2023 J jnl
Sharpness & Shift-Aware Self-Supervised Learning.
CoRR
Ngoc N. Tran, Son Duong, Hoang Phan, Tung Pham, Dinh Q. Phung, Trung Le
2022 A* conf
Entropic Gromov-Wasserstein between Gaussian Distributions.
ICML
Khang Le, Dung Q. Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho
2022 A* conf
Improving Mini-batch Optimal Transport via Partial Transportation.
ICML
Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho
2022 A conf
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity.
AISTATS
Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho
2022 A* conf
On Transportation of Mini-batches: A Hierarchical Approach.
ICML
Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho
2021 J jnl
An Efficient Mini-batch Method via Partial Transportation.
CoRR
Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho
2021 J jnl
BoMb-OT: On Batch of Mini-batches Optimal Transport.
CoRR
Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le
2021 A* conf
Distributional Sliced-Wasserstein and Applications to Generative Modeling.
ICLR
Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
2021 J jnl
Entropic Gromov-Wasserstein between Gaussian Distributions.
CoRR
Khang Le, Dung Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho
2021 A* conf
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein.
ICLR
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
2021 J jnl
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity.
CoRR
Khang Le, Huy Nguyen, Tung Pham, Nhat Ho
2021 A* conf
On Robust Optimal Transport: Computational Complexity and Barycenter Computation.
NeurIPS
Khang Le, Huy Nguyen, Quang Minh Nguyen, Tung Pham, Hung Bui, Nhat Ho
2021 J jnl
On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation.
CoRR
Khang Le, Huy Nguyen, Quang Nguyen, Nhat Ho, Tung Pham, Hung Bui
2021 A* conf
Point-set Distances for Learning Representations of 3D Point Clouds.
ICCV
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
2021 J jnl
Point-set Distances for Learning Representations of 3D Point Clouds.
CoRR
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
2020 J jnl
Distributional Sliced-Wasserstein and Applications to Generative Modeling.
CoRR
Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
2020 J jnl
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein.
CoRR
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
2020 A* conf
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm.
ICML
Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui
2020 J jnl
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm.
CoRR
Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui
2017 J jnl
Fast support vector clustering.
Vietnam. J. Comput. Sci.
Tung Pham, Hang Dang, Trung Le, Thai Hoang Le
2017 J jnl
Scalable Support Vector Clustering Using Budget.
CoRR
Tung Pham, Trung Le, Hang Dang
2016 B conf
Fast Support Vector Clustering.
ESANN
Tung Pham, Trung Le, Thai Hoang Le, Dat Tran