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08/16/2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Recommender systems have become fundamental building blocks of modern on...
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09/06/2022
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Several techniques have recently aimed to improve the performance of dee...
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07/16/2022
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
In the past few years, graph neural networks (GNNs) have become the de f...
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01/10/2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
Graph Neural Networks (GNNs) have become the state-of-the-art method for...
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12/12/2020
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings
Graph Neural Networks (GNNs) are a framework for graph representation le...
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06/06/2020
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation
Sensor-based human activity recognition (HAR) requires to predict the ac...
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06/06/2020