Welcome to UQ Data Science Seminar Series!

This UQ Data Science seminar series aims to bring together students and senior researchers to discuss about their research, intending...

From Introduction, Jan 01, 2023

All Talks

Welcome to UQ Data Science Seminar Series!

This UQ Data Science seminar series aims to bring together students and senior researchers to discuss about their research, intending to have a diverse set of talks and speakers on to...

From Introduction, Jan 01, 2023

No.23-22 Process Mining: Opportunities and Challenges

In recent years, significant advances in extended reality (XR) and AI have offered novel, promising ways to visualise and eventually better understand large and complex data. Immersio...

From University of Queensland, Sep 13, 2023

No.23-20 Immersive Data Visualisation and Interactive AI

In recent years, significant advances in extended reality (XR) and AI have offered novel, promising ways to visualise and eventually better understand large and complex data. Immersio...

From University of Queensland, Sep 13, 2023

No.23-19 Graph Neural Networks for Large Dynamic Graphs

In real-world applications such as social networks, financial transactions, and recommender systems, graph-structured data is frequently dynamic, with the nodes and edges of the graph...

From DATA61-CSIRO, Sep 13, 2023

No.23-16 Generalized Out-of-distribution Detection: Theory and Algorithm

Out-of-distribution (OOD) detection is vital for ensuring the safety and reliability of artificial intelligence systems. It represents a novel and trending area in machine learning an...

From University of Technology Sydney, Aug 23, 2023

No.23-15 How to Detect Out-of-Distribution Data in the Wild? Challenges, Research Progress and Path Forward

When deploying machine learning models in the open and non-stationary world, their reliability is often challenged by the presence of out-of-distribution (OOD) samples. Since data shi...

From University of Wisconsin-Madison, Aug 16, 2023

No.23-13 Task-aware Retrieval with Instructions

We study the problem of retrieval with instructions, where users of a retrieval system explicitly describe their intent along with their queries. We aim to develop a general-purpose t...

From University of Washington, Aug 02, 2023

No.23-12 An Introduction to Sequential/Session-based Recommendation

In recent years, sequential/session-based recommendations have emerged as a new recommendation paradigm to well model users’ dynamic and short-term preferences for more accurate and t...

From University of Technology Sydney, May 17, 2023

No.23-11 Building Experiment Tracking at Scale with Weights & Biases

Building experiments doesn’t just end once the model is deployed. Teams need to monitor their models in production and use their findings to iterate further. Especially when dealing w...

From Weights & Biases, May 10, 2023

No.23-10 SEINE: SEgment-based Indexing for NEural Information Retrieval

Many early neural Information Retrieval (NeurIR) methods are re-rankers that rely on a traditional first-stage retriever due to expensive query time computations. Recently, representa...

From Georgetown University, May 03, 2023

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