18 citations · 82 across the 26 of their papers we have counts for
37 papers · 1 filter
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Andrea Valenti, Davide Bacciu, Antonio Vergari
While showing impressive performance on various kinds of learning tasks, it is yet unclear whether deep learning models have the ability to robustly tackle reasoning tasks. than by…
Modular Representations for Weak Disentanglement
Andrea Valenti, Davide Bacciu
The recently introduced weakly disentangled representations proposed to relax some constraints of the previous definitions of disentanglement, in exchange for more flexibility. How…
Leveraging Relational Information for Learning Weakly Disentangled Representations
Andrea Valenti, Davide Bacciu
Disentanglement is a difficult property to enforce in neural representations. This might be due, in part, to a formalization of the disentanglement problem that focuses too heavily…
Continual Pre-Training Mitigates Forgetting in Language and Vision
Andrea Cossu, Tinne Tuytelaars, Antonio Carta +3
Pre-trained models are nowadays a fundamental component of machine learning research. In continual learning, they are commonly used to initialize the model before training on the s…
Inductive learning for product assortment graph completion
Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe +2
Global retailers have assortments that contain hundreds of thousands of products that can be linked by several types of relationships like style compatibility, "bought together", "…
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
Marco Podda, Davide Bacciu
The problem of labeled graph generation is gaining attention in the Deep Learning community. The task is challenging due to the sparse and discrete nature of graph spaces. Several…