All Talks
No.23-03 Score based Diffusion Models and Their Applications
Generative models show great potential in generating new samples, which have been extensively investigated in 2D/3D vision tasks. Among them, the adversarial training based models, e....
From Australian National University, Mar 01, 2023
No.23-02 Seven Algorithms for the Same Task (Testing Uniformity)
Suppose you get a set of (independent) data points in some discrete but huge domain {1,2,…,k}, and want to determine if this data is uniformly distributed. This is a basic and fundame...
From University of Sydney, Mar 08, 2023
No.23-01 Escaping the Echo Chamber: The Quest for Normative News Recommender Systems
Recommender systems and social networks are often faulted to be the cause for creating Echo Chambers – environments where people mostly encounter news that match their previous choice...
From University of Zurich, Feb 22, 2023
A Non-Factoid Question-Answering Taxonomy
Non-factoid question answering (NFQA) is a challenging and under-researched task that requires constructing long-form answers, such as explanations or opinions, to open-ended non-fact...
From RMIT University, Nov 09, 2022
LibAUC: A deep learning library for X-risk Optimization
In this talk, I will present our recent research efforts of developing a deep learning library called LibAUC, which is applicable for solving a variety of compositional measures. I w...
From Texas A&M University, Oct 26, 2022
Advancing Machine Perception for Artificial Intelligence Systems
Artificial intelligence (AI) techniques have impacted on our lives profoundly, such as providing more secured and resilient social environments and assisting more accurate medical dia...
From University of Technology Sydney, Oct 05, 2022