A. Tuan Nguyen
8 papers · 2021–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🏆
Grand Slam
👑
Triple Crown
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(6)
Core Methods
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Machine Learning
(2)
Healthcare & Medicine
(1)
Architectures
(1)
Clinical
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
domain adaptation
(3)
domain generalization
(2)
distribution shift
(2)
representation learning
(2)
kl divergence
(1)
unsupervised domain adaptation
(1)
temporal modeling
(1)
entropy minimization
(1)
multi-task learning
(1)
uncertainty quantification
(1)
data reduction
(1)
test-time adaptation
(1)
mutual information
(1)
time series prediction
(1)
transfer learning
(1)
stochastic gradient descent
(1)
federated learning
(1)
temporal learning
(1)
conditional mutual information
(1)
model compression
(1)
Papers
uCAP: An Unsupervised Prompting Method for Vision-Language Models
ECCV 2024
TIPI: Test Time Adaptation With Transformation Invariance
CVPR 2023
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning
NeurIPS 2022
KL Guided Domain Adaptation
ICLR 2022
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
ICLR 2022
Set Based Stochastic Subsampling
ICML 2022
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
AAAI 2021
Domain Invariant Representation Learning with Domain Density Transformations
NeurIPS 2021