Shamane Siriwardhana

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	All	Since 2018
Citations	181	181
h-index	5	5
i10-index	3	3

2018201920202021202220232 2 13 50 75 39

Co-authors

Suranga Nanayakkara, PhD NUSAssociate Professor, Department of Information Systems & Analytics, National University of SingaporeVerified email at ahlab.org
Rivindu WeerasekeraUniversity of AucklandVerified email at aucklanduni.ac.nz
Tharindu KaluarachchiAugmented Human Lab, Auckland Bioengineering Institute, The University of AucklandVerified email at ahlab.org
Denys J.C. MatthiesAssociate Professor, Technical University of Applied Sciences LübeckVerified email at th-luebeck.de
Mark BillinghurstEmpathic Computing Laboratory, University of South Australia, Auckland Bioengineering InstituteVerified email at unisa.edu.au
Elliott WenThe University of AucklandVerified email at aucklanduni.ac.nz
Alexandru DancuAugmented Human Lab and Berlin Institute of HealthVerified email at ahlab.org
K Thisum BuddhikaNational University of SingaporeVerified email at comp.nus.edu.sg
Roger Boldu BusquetsThe University of AucklandVerified email at ahlab.org
Rajib RanaProfessor of Computer Science, UniSQVerified email at usq.edu.au
James Jeng-Weei LinReality Labs, MetaVerified email at meta.com
Robert W. LindemanProf/Director, HIT Lab NZ, University of CanterburyVerified email at hitlabnz.org

Shamane Siriwardhana

Other namesShamane Siri

Marigold | The University of Auckland

Verified email at ahlab.org - Homepage

Natural Language Processing Self Supervised Learning Domain Adaptation Ads Recommendations


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Jointly fine-tuning" bert-like" self supervised models to improve multimodal speech emotion recognition S Siriwardhana, A Reis, R Weerasekera, S Nanayakkara arXiv preprint arXiv:2008.06682, 2020	83	2020
Multimodal emotion recognition with transformer-based self supervised feature fusion S Siriwardhana, T Kaluarachchi, M Billinghurst, S Nanayakkara IEEE Access 8, 176274-176285, 2020	50	2020
Fingerreader2. 0: Designing and evaluating a wearable finger-worn camera to assist people with visual impairments while shopping R Boldu, A Dancu, DJC Matthies, T Buddhika, S Siriwardhana, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018	25	2018
Vusfa: Variational universal successor features approximator to improve transfer drl for target driven visual navigation S Siriwardhana, R Weerasakera, DJC Matthies, S Nanayakkara arXiv preprint arXiv:1908.06376, 2019	9	2019
Target driven visual navigation with hybrid asynchronous universal successor representations S Siriwardhana, R Weerasekera, S Nanayakkara arXiv preprint arXiv:1811.11312, 2018	8	2018
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering S Siriwardhana, R Weerasekera, E Wen, T Kaluarachchi, R Rana, ... arXiv preprint arXiv:2210.02627, 2022	3	2022
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering S Siriwardhana, R Weerasekera, E Wen, S Nanayakkara arXiv preprint arXiv:2106.11517, 2021	2	2021
A Corneal Surface Reflections-Based Intelligent System for Lifelogging Applications T Kaluarachchi, S Siriwardhana, E Wen, S Nanayakkara International Journal of Human–Computer Interaction, 1-18, 2023	1	2023
VRhook: A Data Collection Tool for VR Motion Sickness Research E Wen, TI Kaluarachchi, S Siriwardhana, V Tang, M Billinghurst, ... Proceedings of the 35th Annual ACM Symposium on User Interface Software and …, 2022		2022
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems S Siriwardhana PhD Thesis-University of Auckland, 2022		2022
Universal Successor Features Based Deep Reinforcement Learning for Navigation S Siriwardhana Masters Thesis, 2019		2019
VUSFA: Variational Universal Successor Features Approximator S Siriwardhana, R Weerasakera, DJC Matthies, S Nanayakkara

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