Tung Pham
16 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
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Conferences
ICML (4)
ICLR (3)
ECCV (2)
NIPS (2)
AAAI (1)
ACL (1)
AISTATS (1)
CVPR (1)
ICCV (1)
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Research topics
Keywords
optimal transport
(4)
entropic regularization
(4)
sinkhorn algorithm
(3)
computational complexity
(3)
mini batch
(2)
domain adaptation
(2)
gradient flow
(2)
neural network optimization
(1)
robust optimization
(1)
representation learning
(1)
incremental learning
(1)
sharpness-aware minimization
(1)
kl divergence
(1)
adversarial machine learning
(1)
adversarial learning
(1)
probability measure
(1)
mathematical reasoning
(1)
kullback-leibler divergence
(1)
sliced wasserstein distance
(1)
catastrophic forgetting
(1)
Papers
ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
ACL 2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
CVPR 2025
A high-quality robust diffusion framework for corrupted dataset
ECCV 2024
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
NIPS 2024
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
AAAI 2024
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
ICLR 2024
Data Poisoning Quantization Backdoor Attack
ECCV 2024
Improving Mini-batch Optimal Transport via Partial Transportation
ICML 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
AISTATS 2022
Entropic Gromov-Wasserstein between Gaussian Distributions
ICML 2022
Point-Set Distances for Learning Representations of 3D Point Clouds
ICCV 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
NIPS 2021
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
ICLR 2021
Distributional Sliced-Wasserstein and Applications to Generative Modeling
ICLR 2021
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
ICML 2020