Tran, Toan
- Exploiting Domain-Specific Features to Enhance Domain Generalization
2021/10/18 by Manh-Ha Bui, Bui, Manh-Ha, Toan Tran +5 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Domain Invariant Representation Learning with Domain Density Transformations
2021/02/09 by Nguyen, A. Tuan, Tran, Toan, Gal, Yarin +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
2019/04/18 by Thanh-Toan Do, Toan Tran, Do, Thanh-Toan +9 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
2025/03/03 by Anh Tong, Tong, Anh, Thanh Nguyen-Tang +12 · 6 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
- Stochastic Multiple Target Sampling Gradient Descent
2022/06/04 by Hoang Phan, Phan, Hoang, Ngoc Tran +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- A Bayesian Data Augmentation Approach for Learning Deep Models
2017/10/29 by Toan Tran, Tran, Toan, Trung Pham +7 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
2025/02/27 by Toan Tran, Ruixuan Liu, Tran, Toan +3 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Topic Modeling
- KL Guided Domain Adaptation
2021/06/14 by Nguyen, A. Tuan, Tran, Toan, Gal, Yarin +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints
2024/08/25 by Siyu Li, Li, Siyu, Trần Khánh Toàn +10 · 2 citations
Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Transportation and Mobility Innovations
- Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
2024/10/22 by Tran, Bao Q., Nguyen, Viet, Tran, Anh +1 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
2023/05/29 by Nguyen, Anh T, Tran, Lam, Tong, Anh +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- On Inference Stability for Diffusion Models
2023/12/19 by Nguyen, Viet, Vu, Giang, Thanh, Tung Nguyen +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- ExpShield: Safeguarding Web Text from Unauthorized Crawling and LLM Exploitation
2024/12/30 by Liu, Ruixuan, Tran, Toan, Wang, Tianhao +3 · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences