| 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 | 117 | 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 | 108 | 2020 |
| 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, ... Transactions of the Association for Computational Linguistics 11, 1-17, 2023 | 66 | 2023 |
| 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 | 35 | 2018 |
| Arcee's MergeKit: A Toolkit for Merging Large Language Models C Goddard, S Siriwardhana, M Ehghaghi, L Meyers, V Karpukhin, ... arXiv preprint arXiv:2403.13257, 2024 | 10 | 2024 |
| 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 | 10 | 2019 |
| Target driven visual navigation with hybrid asynchronous universal successor representations S Siriwardhana, R Weerasekera, S Nanayakkara arXiv preprint arXiv:1811.11312, 2018 | 9 | 2018 |
| 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 | 4 | 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 | 3 | 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 39 (9), 1963-1980, 2023 | 2 | 2023 |
| Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text S Siriwardhana, C Gupta, T Kaluarachchi, V Dissanayake, S Ellawela, ... International Journal of Human–Computer Interaction, 1-19, 2023 | 1 | 2023 |
| 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 |
| VUSFA: Variational Universal Successor Features Approximator S Siriwardhana, R Weerasakera, DJC Matthies, S Nanayakkara | | 2019 |
| Universal Successor Features Based Deep Reinforcement Learning for Navigation S Siriwardhana Masters Thesis, 2019 | | 2019 |
A/Prof Suranga Nanayakkara, PhD NUSAugmented Human Lab, National University of Singapore在 ahlab.org 的电子邮件经过验证
