This article is about contrastive analysis in second language acquisition. For contrastive analysis in historical linguistics, see comparative linguistics. In its strongest formulation, the ...

In contrastive syntax, the main interests have been different clause and complex sentence structures and syntactic questions within the clauses, such as verbal and adjectival constructions and ...

We propose Contrastive Code Representation Learning (ContraCode), a self-supervised algorithm for learning task-agnostic semantic representations of programs via contrastive learning. Our approach ...

Artificial Intelligence is improving biometrics for the matching of fingerprints, facial recognition.

The course gives an introduction to contrastive analysis and learner language analysis focusing on a comparison of English and Norwegian and on the analysis of English as produced by Norwegians. The ...

A study published in Nature Machine Intelligence introduces an advanced artificial intelligence (AI) model capable of ...

However, actually building a self-supervised foundation for RL faces some important challenges. Building on prior contrastive approaches to this RL problem, we conduct careful ablation experiments and ...

In the study, we develope SGCL-LncLoc, a novel interpretable deep learning model based on supervised graph contrastive learning. SGCL-LncLoc transforms IncRNA sequences into de Bruijn graphs and uses ...

In this paper, a cross-domain pancreas segmentation algorithm is proposed based on Moment-Consistent Contrastive Cycle Generative Adversarial Networks (MC-CCycleGAN). MC-CCycleGAN is a style transfer ...

A recent study published in Nature Machine Intelligence introduces an advanced artificial intelligence (AI) model capable of creating virtual colorations of cancer tissue.

SAM 2, a transformer-based model, advances real-time video segmentation by integrating memory capabilities and reducing ...