6 citations · 9 across the 4 of their papers we have counts for
4 papers
Machine Guides, Human Supervises: Interactive Learning with Global Explanations
Teodora Popordanoska, Mohit Kumar, Stefano Teso
We introduce explanatory guided learning (XGL), a novel interactive learning strategy in which a machine guides a human supervisor toward selecting informative examples for a class…
Does Symbolic Knowledge Prevent Adversarial Fooling?
Stefano Teso
Arguments in favor of injecting symbolic knowledge into neural architectures abound. When done right, constraining a sub-symbolic model can substantially improve its performance an…
Coactive Critiquing: Elicitation of Preferences and Features
Stefano Teso, Paolo Dragone, Andrea Passerini
When faced with complex choices, users refine their own preference criteria as they explore the catalogue of options. In this paper we propose an approach to preference elicitation…
Structured Learning Modulo Theories
Stefano Teso, Roberto Sebastiani, Andrea Passerini
Modelling problems containing a mixture of Boolean and numerical variables is a long-standing interest of Artificial Intelligence. However, performing inference and learning in hyb…