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Bayesian Optimistic Optimisation with Exponentially Decaying Regret

H. Tran-The, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. 10390 - 10400 / International Conference on Machine Learning

A New Representation of Successor Features for Transfer across Dissimilar Environments

M. Abdolshah, H. Le, T. K. George, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. 1 - 9 / International Conference on Machine Learning

Fairness improvement for black-box classifiers with Gaussian process

D. Nguyen, S. Gupta, S. Rana, A. Shilton, S. Venkatesh

2021 / Vol. 576, pp. 542 - 556 / Information Sciences

Automatically recommending components for issue reports using deep learning

M. Choetkiertikul, H. K. Dam, T. Tran, T. T. M. Pham, C. Ragkhitwetsagul, A. Ghose

2021 / Vol. 26, pp. 1 - 39 / Empirical Software Engineering

A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos

B. Nguyen-Thai, V. Le, C. Morgan, N. Badawi, T. Tran, S. Venkatesh

2021 / IEEE journal of biomedical and health informatics

PAN: Personalized Annotation-based Networks for the Prediction of Breast Cancer Relapse

T. Nguyen, S. C. Lee, T. P. Quinn, B. Truong, X. Li, T. Tran, S. Venkatesh, T. M. Le

2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics

Learning Asynchronous and Sparse Human-Object Interaction in Videos

R. Morais, V. Le, S. Venkatesh, T. Tran

2021 / pp. 16041 - 16050 / Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Object-Centric Representation Learning for Video Question Answering

L. H. Dang, T. M. Le, V. Le, T. Tran

2021 / Ijcnn

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

L. H. Dang, T. M. Le, V. Le, T. Tran

2021

Variational hyper-encoding networks

P. Nguyen, T. Tran, S. Gupta, S. Rana, H. K. Dam, S. Venkatesh

2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)

Fast conditional network compression using Bayesian HyperNetworks

P. Nguyen, T. Tran, K. Le, S. Gupta, S. Sana, D. Nguyen, T. Nguyen, S. Ryan, S. Venkatesh

2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)

Knowledge distillation with distribution mismatch

D. Nguyen, S. Gupta, T. Nguyen, S. Sana, P. Nguyen, T. Tran, K. Le, S. Ryan, S. Venkatesh

2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)

Clustering by Maximizing Mutual Information Across Views

K. Do, T. Tran, S. Venkatesh

2021

GEFA: early fusion approach in drug-target affinity prediction

T. M. Nguyen, T. Nguyen, T. M. Le, T. Tran

2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

K. Do, T. Tran, S. Venkatesh

2021 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)

Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19) virus

T. T. Nguyen, P. N. Pathirana, T. Nguyen, H. Nguyen, A. Bhatti, D. C. Nguyen, D. T. Nguyen, N. D. Nguyen, D. Creighton, M. Abdelrazek

2021 / Scientific Reports

Distributional Reinforcement Learning via Moment Matching

T. T. Nguyen, S. Gupta, S. Venkatesh

2021 / pp. accepted on 02/10/2020 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)

Sparse Spectrum Gaussian Process for Bayesian Optimization

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2021 / pp. To appear / Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)