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)
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)
Examining microbe–metabolite correlations by linear methods T. P. Quinn, I. Erb 2021 / Vol. 18, pp. 37 - 39 / Nature Methods
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)
Test set verification is an essential step in model building T. P. Quinn, V. Le, A. P. A. Cardilini 2021 / Vol. 12, pp. 127 - 129 / Methods in Ecology and Evolution
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)
