Tung Pham
16 papers · 2020–2025 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (32) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Deep Specialist
(11)
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Grand Slam
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Renaissance Researcher
(5)
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(16)
Optimization & Theory · Machine Learning
(12)
Deep Learning
(9)
Mathematics & Optimization
(6)
Optimization
(6)
Application Areas
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Mathematics
(4)
Models
(4)
Architectures
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Keywords
optimal transport
(5)
entropic regularization
(4)
computational complexity
(3)
sinkhorn algorithm
(3)
backdoor attack
(2)
sliced wasserstein distance
(2)
gradient flow
(2)
probability measure
(2)
domain adaptation
(2)
mini batch
(2)
surrogate model
(2)
adversarial machine learning
(1)
robust optimization
(1)
kl divergence
(1)
mathematical reasoning
(1)
adversarial learning
(1)
generative modeling
(1)
model robustness
(1)
catastrophic forgetting
(1)
neural network optimization
(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
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
AAAI 2024
Data Poisoning Quantization Backdoor Attack
ECCV 2024
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
NeurIPS 2024
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
ICLR 2024
Entropic Gromov-Wasserstein between Gaussian Distributions
ICML 2022
Improving Mini-batch Optimal Transport via Partial Transportation
ICML 2022
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
AISTATS 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
Distributional Sliced-Wasserstein and Applications to Generative Modeling
ICLR 2021
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
ICLR 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
NeurIPS 2021
Point-Set Distances for Learning Representations of 3D Point Clouds
ICCV 2021
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
ICML 2020