Abstract: This paper presents SILEA (a System for Inductive LEArning), an efficient inductive learning algorithm for rule extraction. SILEA is a covering algorithm ...

How does the human brain learn to see so quickly—and what can that teach us about building smarter AI? This question is at the heart of Mastering Vision: How Inductive Biases Shape Mammalian Learning ...

Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or ...

Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike the local ...

Few-shot classification involves training a model to perform a new classification task with a handful of labeled data. This paper is available on arxiv under CC 4.0 license. Numerous studies have ...

[IEEE SP'24] The Official Implementation of "Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks" ...

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Courtney Schley and Burt ...