49 citations · 189 across the 32 of their papers we have counts for
6 papers · 1 filter
The Science of Rejection: A Research Area for Human Computation
Burcu Sayin, Jie Yang, Andrea Passerini +1
We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.
Learning compositional programs with arguments and sampling
Giovanni De Toni, Luca Erculiani, Andrea Passerini
One of the most challenging goals in designing intelligent systems is empowering them with the ability to synthesize programs from data. Namely, given specific requirements in the…
An Efficient Procedure for Mining Egocentric Temporal Motifs
Antonio Longa, Giulia Cencetti, Bruno Lepri +1
Temporal graphs are structures which model relational data between entities that change over time. Due to the complex structure of data, mining statistically significant temporal s…
Toward a Unified Framework for Debugging Concept-based Models
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini +1
In this paper, we tackle interactive debugging of "gray-box" concept-based models (CBMs). These models learn task-relevant concepts appearing in the inputs and then compute a predi…
Interactive Label Cleaning with Example-based Explanations
Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia +1
We tackle sequential learning under label noise in applications where a human supervisor can be queried to relabel suspicious examples. Existing approaches are flawed, in that they…
Towards Visual Semantics
Fausto Giunchiglia, Luca Erculiani, Andrea Passerini
Lexical Semantics is concerned with how words encode mental representations of the world, i.e., concepts . We call this type of concepts, classification concepts . In this paper, w…