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Toan Tran
Toan Tran
VinAI Research, Vietnam
Verifisert e-postadresse på vinai.io
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A bayesian data augmentation approach for learning deep models
T Tran, T Pham, G Carneiro, L Palmer, I Reid
Advances in neural information processing systems 30, 2017
2762017
Bayesian Generative Active Deep Learning
T Tran, TT Do, I Reid, G Carneiro
International Conference on Machine Learning (ICML), 2019
1532019
Exploiting domain-specific features to enhance domain generalization
MH Bui, T Tran, A Tran, D Phung
Advances in Neural Information Processing Systems 34, 21189-21201, 2021
1052021
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
TT Do, T Tran, I Reid, V Kumar, T Hoang, G Carneiro
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
692019
Domain invariant representation learning with domain density transformations
AT Nguyen, T Tran, Y Gal, AG Baydin
Advances in Neural Information Processing Systems 34, 5264-5275, 2021
672021
KL guided domain adaptation
AT Nguyen, T Tran, Y Gal, PHS Torr, AG Baydin
International Conference on Learning Representations (ICLR), 2021
332021
A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system
TT Nguyen, AWC Liew, MT Tran, XC Pham, MP Nguyen
2014 IEEE Congress on Evolutionary Computation (CEC), 1698-1705, 2014
332014
Combining multi classifiers based on a genetic algorithm–a gaussian mixture model framework
TT Nguyen, AWC Liew, MT Tran, MP Nguyen
Intelligent Computing Methodologies: 10th International Conference, ICIC …, 2014
182014
On learning domain-invariant representations for transfer learning with multiple sources
T Phung, T Le, TL Vuong, T Tran, A Tran, H Bui, D Phung
Advances in Neural Information Processing Systems 34, 27720-27733, 2021
162021
Distributionally Robust Fair Principal Components via Geodesic Descents
H Vu, T Tran, MC Yue, VA Nguyen
International Conference on Learning Representations (ICLR), 2022
132022
Fusion of classifiers based on a novel 2-stage model
TT Nguyen, AWC Liew, MT Tran, TTT Nguyen, MP Nguyen
Machine Learning and Cybernetics: 13th International Conference, Lanzhou …, 2014
92014
Learning fractional white noises in neural stochastic differential equations
A Tong, T Nguyen-Tang, T Tran, J Choi
Advances in Neural Information Processing Systems 35, 37660-37675, 2022
82022
Stochastic Multiple Target Sampling Gradient Descent
H Phan, N Tran, T Le, T Tran, N Ho, D Phung
Advances in Neural Information Processing Systems, 2022
82022
Learning compositional sparse gaussian processes with a shrinkage prior
A Tong, TM Tran, H Bui, J Choi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9906-9914, 2021
32021
Combining classifiers based on gaussian mixture model approach to ensemble data
TT Nguyen, AWC Liew, MT Tran, MP Nguyen
Machine Learning and Cybernetics: 13th International Conference, Lanzhou …, 2014
32014
Multigraph topology design for cross-silo federated learning
BX Nguyen, T Do, H Nguyen, V Pham, T Tran, E Tjiputra, Q Tran, ...
arXiv preprint arXiv:2207.09657, 2022
12022
Bayesian Data Augmentation and Generative Active Learning for Robust Imbalanced Deep Learning
TM Tran
12020
On Inference Stability for Diffusion Models
V Nguyen, G Vu, TN Thanh, K Than, T Tran
Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14449 …, 2024
2024
SigFormer: Signature Transformers for Deep Hedging
A Tong, T Nguyen-Tang, D Lee, TM Tran, J Choi
Proceedings of the Fourth ACM International Conference on AI in Finance, 124-132, 2023
2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Q Tran, L Tran, K Than, T Tran, D Phung, T Le
arXiv preprint arXiv:2311.15414, 2023
2023
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