In this talk, Tianbao Yang will present recent research efforts into developing a deep learning library called LibAUC, which is applicable for solving a variety of compositional measures.
Join us as we discuss a non-blocking and asynchronous DRL training architecture for non-linear, real-time dynamical systems tailored to handling variable delays.
Join us as 2022 DECRA Fellow Dr Xin Yu discuss recent research results on machine perception algorithms in surveillance systems as well as in AI assisted medical diagnosis.
Join us as we discuss a more versatile setting of MSDA, namely Generalized Multi-source Domain Adaptation, wherein the source domains are partially overlapped, and the target domain is allowed to contain novel categories.
For any e-commerce service, persuasive, faithful, and informative product descriptions can attract shoppers and improve sales. While not all sellers are capable of providing such interesting descriptions, a language generation system can be a source of such descriptions at scale, and potentially assist sellers to improve their product descriptions.
Join us as we discuss the topic of "Improving Performance of Lightweight Networks via Knowledge Distillation" on our weekly Data Science seminar series.
Join us for an exciting seminar. Graph data mining is currently a hot research topic that attracts more and more attentions from industry and academic fields.
Join us for an exciting seminar on the topic of "PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion." *Pip is the package installer for Python
