5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2025
CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs
David Méndez, Gianpaolo Bontempo, Elisa Ficarra +2
Deep vision models often rely on biases learned from spurious correlations in datasets. To identify these biases, methods that interpret high-level, human-understandable concepts a…
cs.LG2023★ 5 cited
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra +3
We introduce Neuro-Symbolic Continual Learning, where a model has to solve a sequence of neuro-symbolic tasks, that is, it has to map sub-symbolic inputs to high-level concepts and…