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On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources


Nov 27, 2021
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung

* NeurIPS 2021 

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Exploiting Domain-Specific Features to Enhance Domain Generalization


Oct 18, 2021
Manh-Ha Bui, Toan Tran, Anh Tuan Tran, Dinh Phung

* 25 pages, 6 tables, 11 figures, published at Advances in Neural Information Processing Systems (NeurIPS), 2021 

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KL Guided Domain Adaptation


Jun 14, 2021
A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atılım Güneş Baydin


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Domain Invariant Representation Learning with Domain Density Transformations


Feb 14, 2021
A. Tuan Nguyen, Toan Tran, Yarin Gal, Atılım Güneş Baydin


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Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior


Dec 21, 2020
Anh Tong, Toan Tran, Hung Bui, Jaesik Choi

* AAAI 2021 

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Bayesian Generative Active Deep Learning


Apr 26, 2019
Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro

* Accepted to ICML 2019 

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A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning


Apr 18, 2019
Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro

* Accepted to CVPR 2019 

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A Bayesian Data Augmentation Approach for Learning Deep Models


Oct 29, 2017
Toan Tran, Trung Pham, Gustavo Carneiro, Lyle Palmer, Ian Reid

* Accepted to NISP 2017 

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