Tutorials & Workshops


  • Machine Learning Meets Internet of Things: From Theory to Practice
    Bharath Sudharsan and Pankesh Patel
  • Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
    Wenjie Ruan, Xinping Yi and Xiaowei Huang
  • Combating Online Hate Speech: Roles of Content,Networks, Psychology, User Behavior and Others
    Sarah Masud, Pinkesh Badjatiya, Amitava Das, Manish Gupta, Vasudeva Verma and Tanmoy Chakraborty
  • Data Shift in Machine Learning: What is it, and what are potential remedies
    Ali Pesaranghader, Mehdi Ataei and Sedef Kocak
  • Automated Machine Learning: Methods, Tools and Challenges
    Hongzhi Wang and Chunnan Wang
  • FAIR multi-label classification
    Dragi Kocev, Jasmin Bogatinovski, Ana Kostovska and Panče Panov
  • Machine Learning and Reasoning for Drug Discovery
    Truyen Tran
  • Uncertainty-aware classification: From rejection to set-valued prediction
    Willem Waegeman, Titouan Lorieul and Eyke Huellermeier


Combined Workshops & Tutorials