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potential to facilitate the process of generating health-related advice without the need for predefined rules or training data. Yet, their reliability remains a serious concern. This project aims to first
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Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20). Hua, Yuncheng; Qi, Daiqing; Zhang, Jingyao; Qi, Guilin; Li, Yuan-Fang. Less is More: Data-efficient Complex Question
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Scholarship (Project 89)’ in your application. Please ensure you read the application details carefully and submit your application by the deadline. For more information on the funding scheme, contact the team
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of Computer Science in Data Science (Honours) Anban Raj Thank you will never suffice to express my gratitude to the Ng Family for believing in my potential and enabling me to access a world-class education. I will
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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able to transfer to a PhD, subject to academic performance and approval. Degrees and application information Admission requirements and how to apply: www.monash.edu/engineering/future-students/graduate
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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
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cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models to tackle challenges in MRI reconstruction. By integrating MRI acquisition physics directly into
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scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and achieve my academic goals. Law has been a dream of mine for a long time
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, and interpretability of quantum-inspired models against classical machine learning methods. Develop a prototype system integrated with learning management system (LMS) data (e.g., Moodle) to demonstrate