Thanh Nguyen-Tang
20 papers · 2021–2025 · 9 conferences · across top CS/AI conferences
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ACML (1)
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transfer learning
(4)
offline reinforcement learning
(3)
representation learning
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domain generalization
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multi-agent learning
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regret bound
(2)
neural network
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medical domain
(2)
distributed learning
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speech recognition
(1)
multi-task learning
(1)
multilingual translation
(1)
machine translation
(1)
test-time adaptation
(1)
posterior sampling
(1)
function approximation
(1)
multitask learning
(1)
adversarial training
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entropy minimization
(1)
automatic speech recognition
(1)
Papers
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder
ACL 2025
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
ICLR 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
ICLR 2025
Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
WACV 2025
Policy-Regret Minimization in Markov Games with Function Approximation
ICML 2025
MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation
EMNLP 2025
Offline Multitask Representation Learning for Reinforcement Learning
NIPS 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
NIPS 2024
On The Statistical Complexity of Offline Decision-Making
ICML 2024
Adversarially Robust Multi-task Representation Learning
NIPS 2024
Domain Generalization with Interpolation Robustness
ACML 2023
Optimistic Rates for Multi-Task Representation Learning
NIPS 2023
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond
NIPS 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
NIPS 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
AAAI 2023
TIPI: Test Time Adaptation With Transformation Invariance
CVPR 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
ICLR 2023
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
ICLR 2022
Learning Fractional White Noises in Neural Stochastic Differential Equations
NIPS 2022
Distributional Reinforcement Learning via Moment Matching
AAAI 2021