Groundbreaking language-vision architectures like CLIP and DALL-E proved the utility of
training on large amounts of noisy image-text data, without relying on expensive accurate …

Multi-modal language-vision models trained on hundreds of millions of image-text pairs (eg
CLIP, DALL-E) gained a recent surge, showing remarkable capability to perform zero- or few-…

Scaling up neural networks has led to remarkable performance across a wide range of tasks.
Moreover, performance often follows reliable scaling laws as a function of training set size, …

… A much larger suite of experiment results can be found in Appendix R. … datasets varies
substantially, in some cases even exhibiting a negative correlation, as discussed in Appendix R. …

More than one in three adults worldwide is either overweight or obese. Epidemiological studies
indicate that the location and distribution of excess fat, rather than general adiposity, are …

Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in
observational studies is reproducibly associated with future risk of adult metabolic diseases …

Being a morning person is a behavioural indicator of a person’s underlying circadian rhythm.
Using genome-wide data from 697,828 UK Biobank and 23andMe participants we …

Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors,
and has been reproducibly associated with future cardio-metabolic health outcomes. In …

Testosterone supplementation is commonly used for its effects on sexual function, bone
health and body composition, yet its effects on disease outcomes are unknown. To better …

Background: The study aimed to investigate the effectiveness of a new multi‐component
social skills intervention for children with Asperger syndrome (AS): The Junior Detective …