Toan Tran
18 papers · 2017–2025 · 7 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.
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Century Club Β· Bronze
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Research topics
Machine Learning
(17)
Artificial Intelligence
(10)
Optimization & Theory
(10)
Application Areas
(9)
Deep Learning
(8)
Learning Paradigms
(6)
Learning Types Β· Machine Learning
(5)
Models
(5)
Core AI
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Generation
(2)
Keywords
domain generalization
(3)
image generation
(3)
deep learning
(3)
domain adaptation
(3)
transfer learning
(2)
bayesian inference
(2)
data augmentation
(2)
generative model
(2)
diffusion model
(2)
continual learning
(1)
variational inference
(1)
representation learning
(1)
active learning
(1)
multi-task learning
(1)
dimensionality reduction
(1)
probabilistic inference
(1)
adversarial learning
(1)
principal component analysis
(1)
kl divergence
(1)
catastrophic forgetting
(1)
Papers
Boosting Multiple Views for pretrained-based Continual Learning
ICLR 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
AAAI 2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
CVPR 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
ICLR 2025
Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
ICCV 2025
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
ACL 2025
On Inference Stability for Diffusion Models
AAAI 2024
Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology
ICCV 2023
Distributionally Robust Fair Principal Components via Geodesic Descents
ICLR 2022
KL Guided Domain Adaptation
ICLR 2022
Learning Fractional White Noises in Neural Stochastic Differential Equations
NeurIPS 2022
Stochastic Multiple Target Sampling Gradient Descent
NeurIPS 2022
Domain Invariant Representation Learning with Domain Density Transformations
NeurIPS 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization
NeurIPS 2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
NeurIPS 2021
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
CVPR 2019
Bayesian Generative Active Deep Learning
ICML 2019
A Bayesian Data Augmentation Approach for Learning Deep Models
NeurIPS 2017