Toan Tran

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 24

Top Topics

Invariant Representations

Diffusion Models

Metric Learning

Top Venues

IEEE Trans. Engineering Management

Publications

Toan Tran, Seongtae Kim, Byung-Gak Son, M. Ramkumar
Paradoxical Association Between Lean Manufacturing, Sustainability Practices and Triple Bottom Line Performance. IEEE Trans. Engineering Management 71 (2024)
Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran
On Inference Stability for Diffusion Models. AAAI (2024)
Tuong Do, Binh X. Nguyen, Vuong Pham, Toan Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. ICCV (2023)
Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran
Conditional Support Alignment for Domain Adaptation with Label Shift. CoRR (2023)
Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran
On Inference Stability for Diffusion Models. CoRR (2023)
A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atilim Gunes Baydin
KL Guided Domain Adaptation. ICLR (2022)
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
Stochastic Multiple Target Sampling Gradient Descent. CoRR (2022)
Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
Distributionally Robust Fair Principal Components via Geodesic Descents. ICLR (2022)
Binh X. Nguyen, Tuong Do, Hien Nguyen, Vuong Pham, Toan Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen
Multigraph Topology Design for Cross-Silo Federated Learning. CoRR (2022)
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
Stochastic Multiple Target Sampling Gradient Descent. NeurIPS (2022)
Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
Distributionally Robust Fair Principal Components via Geodesic Descents. CoRR (2022)
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. CoRR (2021)
A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Günes Baydin
Domain Invariant Representation Learning with Domain Density Transformations. CoRR (2021)
Manh-Ha Bui, Toan Tran, Anh Tuan Tran, Dinh Phung
Exploiting Domain-Specific Features to Enhance Domain Generalization. CoRR (2021)
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Q. Phung
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. NeurIPS (2021)
A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Gunes Baydin
Domain Invariant Representation Learning with Domain Density Transformations. NeurIPS (2021)
Manh-Ha Bui, Toan Tran, Anh Tran, Dinh Q. Phung
Exploiting Domain-Specific Features to Enhance Domain Generalization. NeurIPS (2021)
A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atilim Günes Baydin
KL Guided Domain Adaptation. CoRR (2021)
Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
Bayesian Generative Active Deep Learning. CoRR (2019)
Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR (2019)
Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR (2019)
Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
Bayesian Generative Active Deep Learning. ICML (2019)
Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid
A Bayesian Data Augmentation Approach for Learning Deep Models. CoRR (2017)
Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid
A Bayesian Data Augmentation Approach for Learning Deep Models. NIPS (2017)
Bin Wu, Yue-Hong Sutu, Karthik Ramamurthy, Dong Zheng, Eugene Cheung, Toan Tran, Yong Jiang, Manoj Rana
A serial 10 gigabit Ethernet transceiver on digital 0.13μm CMOS. ESSCIRC (2003)