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Plug and Play, Model-Based Reinforcement Learning


Aug 20, 2021
Majid Abdolshah, Hung Le, Thommen Karimpanal George, Sunil Gupta, Santu Rana, Svetha Venkatesh


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Clustering by Maximizing Mutual Information Across Views


Jul 24, 2021
Kien Do, Truyen Tran, Svetha Venkatesh

* Accepted at ICCV 2021 

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Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support


Jul 24, 2021
Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh


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A New Representation of Successor Features for Transfer across Dissimilar Environments


Jul 18, 2021
Majid Abdolshah, Hung Le, Thommen Karimpanal George, Sunil Gupta, Santu Rana, Svetha Venkatesh


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


May 20, 2021
Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh

* Accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 

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Bayesian Optimistic Optimisation with Exponentially Decaying Regret


May 10, 2021
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh

* To appear at ICML 2021 (21 pages) 

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Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer


Apr 18, 2021
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh


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ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms


Apr 11, 2021
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh

* Accepted to the RobustML workshop at ICLR 2021 

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On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks


Mar 11, 2021
Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh

* 18 pages 

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Learning Asynchronous and Sparse Human-Object Interaction in Videos


Mar 03, 2021
Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran

* Accepted for publication in CVPR'21 

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High Dimensional Level Set Estimation with Bayesian Neural Network


Dec 17, 2020
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh

* Accepted at AAAI'2021 

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


Dec 03, 2020
Kien Do, Truyen Tran, Svetha Venkatesh

* Accepted to AAAI 2021 

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Logically Consistent Loss for Visual Question Answering


Nov 19, 2020
Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh

* 10 pages, 6 figure, 9 tables 

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Hierarchical Conditional Relation Networks for Multimodal Video Question Answering


Oct 18, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* 18 pages. arXiv admin note: substantial text overlap with arXiv:2002.10698 

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Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs


Sep 24, 2020
Hung Le, Svetha Venkatesh

* 22 pages, preprint 

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Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning


Sep 16, 2020
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran

* Accepted for publication at ACML 2020 

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Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces


Sep 09, 2020
Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh

* The paper submitted to NeurIPS 2020 

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Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition


Sep 08, 2020
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh


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Learning to Abstract and Predict Human Actions


Aug 20, 2020
Romero Morais, Vuong Le, Truyen Tran, Svetha Venkatesh

* Accepted for publication in BMVC'20 

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Distributional Reinforcement Learning with Maximum Mean Discrepancy


Jul 24, 2020
Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh

* 21 pages, 6 figures, 5 tables 

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Bayesian Optimization with Missing Inputs


Jun 19, 2020
Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh

* To appear at ECML-PKDD 2020 conference 

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DeepCoDA: personalized interpretability for compositional health data


Jun 16, 2020
Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh

* To appear at ICML 2020 

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Scalable Backdoor Detection in Neural Networks


Jun 10, 2020
Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh


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Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation


Jun 08, 2020
Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh

* Preprint version. The final version has been accepted to appear at IJCAI20 

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DeepCoDA: personalized interpretability for compositional health


Jun 02, 2020
Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh

* To appear at ICML 2020 

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HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network


May 18, 2020
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh


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Dynamic Language Binding in Relational Visual Reasoning


Apr 30, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* Early version accepted by IJCAI20 

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Incorporating Expert Prior in Bayesian Optimisation via Space Warping


Mar 27, 2020
Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

* Knowledge-Based Systems (2020) 105663 
* 21 Pages, 8 figures. To be published in Elsevier 

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Hierarchical Conditional Relation Networks for Video Question Answering


Mar 17, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* CVPR 2020, Oral 
* Check out our code on GitHub at https://github.com/thaolmk54/hcrn-videoqa 

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