Results 151 to 160 of about 120,140 (335)
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation [PDF]
Xiao Pan +3 more
openalex +1 more source
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley +1 more source
Contrastive explanations for machine learning predictions in chemistry
The concept of contrastive explanations originating from human reasoning is used in explainable artificial intelligence. In machine learning, contrastive explanations relate alternative prediction outcomes to each other involving the identification of ...
Alec Lamens, Jürgen Bajorath
doaj +1 more source
Exploration of Contrastive Learning Strategies toward more Robust Stance Detection [PDF]
Udhaya Kumar Rajendran, Amine Trabelsi
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Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
wiley +1 more source
Few-shot disease recognition algorithm based on supervised contrastive learning
Diseases cause crop yield reduction and quality decline, which has a great impact on agricultural production. Plant disease recognition based on computer vision can help farmers quickly and accurately recognize diseases.
Jiawei Mu +5 more
doaj +1 more source
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation [PDF]
Ankit Singh
openalex +1 more source
Clinical, histological, and serological predictors of renal function loss in lupus nephritis.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information [PDF]
Yongkeun Hwang, Hyungu Yun, Kyomin Jung
openalex +1 more source

