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Found 3 papers, 2 papers with code
The Curious Case of Logistic Regression for Italian Languages and Dialects Identification
In this paper, we propose an extensive evaluation of different approaches for the identification of Italian dialects and languages, spanning from classical machine learning models to more complex neural architectures and state-of-the-art pre-trained language models.
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
Abstract reasoning is a cornerstone of human intelligence, and replicating it with artificial intelligence (AI) presents an ongoing challenge.
Unified machine learning tasks and datasets for enhancing renewable energy
A collection of unified ML tasks and datasets from this domain can largely facilitate the development and empirical testing of such models, but is currently missing.
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