| Cloud computing: Need, enabling technology, architecture, advantages and challenges A Gajbhiye, KMPD Shrivastva 2014 5th International Conference-Confluence The Next Generation Information …, 2014 | 60 | 2014 |
| An Exploration of Dropout with RNNs for Natural Language Inference A Gajbhiye, S Jaf, N Al Moubayed, AS McGough, S Bradley International Conference on Artificial Neural Networks, 157-167, 2018 | 16 | 2018 |
| ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference A Gajbhiye, NA Moubayed, S Bradley ICANN 2021, Springer International Publishing, 2021 | 11 | 2021 |
| CAM: A Combined Attention Model for Natural Language Inference. A Gajbhiye, S Jaf, N Al Moubayed, S Bradley, AS McGough IEEE International Conference on Big Data 2018, 2018 | 9 | 2018 |
| Modelling commonsense properties using pre-trained bi-encoders A Gajbhiye, L Espinosa-Anke, S Schockaert COLING 2022, 2022 | 7 | 2022 |
| Global Server Load Balancing with Networked Load Balancers for Geographically Distributed Cloud Data-Centres A Gajbhiye, S Singh International Journal of Computer Science and Network 6 (6), 682-688, 2017 | 5 | 2017 |
| Knowledge distillation for quality estimation A Gajbhiye, M Fomicheva, F Alva-Manchego, F Blain, A Obamuyide, ... ACL 2021, 5091–5099, 2021 | 4 | 2021 |
| Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models A Gajbhiye, T Winterbottom, NA Moubayed, S Bradley Artificial Neural Networks and Machine Learning – ICANN 2020, 2020 | 3 | 2020 |
| Resource Provisioning and Scheduling Algorithm for Meeting Cost and Deadline-Constraints of Scientific Workflows in IaaS Clouds A Gajbhiye, S Singh arXiv preprint arXiv:1806.02397, 2018 | 3 | 2018 |
| Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces U Chatterjee, A Gajbhiye, S Schockaert EMNLP 2023, 2023 | 2 | 2023 |
| What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies A Gajbhiye, Z Bouraoui, N Li, U Chatterjee, LE Anke, S Schockaert EMNLP 2023, 2023 | 1 | 2023 |
| deepQuest-py: large and distilled models for quality estimation F Alva-Manchego, A Obamuyide, A Gajbhiye, F Blain, M Fomicheva, ... EMNLP 2021, 2021 | 1 | 2021 |
| Enhancing the Reasoning Capabilities of Natural Language Inference Models with Attention Mechanisms and External Knowledge A Gajbhiye Durham University, 2020 | | 2020 |
| Bradley, Steven (2018) An Exploration of Dropout with RNNs for Natural Language Inference. In: The 27th International Conference on Artificial Neural Networks. A Gajbhiye, S Jaf, N AlMoubayed, S McGough | | |
Noura Al MoubayedAssociate Professor in Machine Learning, Department of Computer Science, Durham UniversityVerified email at dur.ac.uk
