In recent years, Artificial Intelligence (AI) systems have surpassed hum...
Learning from large amounts of unsupervised data and a small amount of
s...
Large language models (LLMs) have demonstrated impressive capabilities i...
Xenophobia is one of the key drivers of marginalisation, discrimination,...
We introduce a challenging decision-making task that we call active
acqu...
Machine learning (ML) holds great promise for improving healthcare, but ...
Literature on machine learning for multiple sclerosis has primarily focu...
Despite recent progress made by self-supervised methods in representatio...
We introduce a new real-valued invariant called the natural slope of a
h...
What is learned by sophisticated neural network agents such as AlphaZero...
Advances in algorithmic fairness have largely omitted sexual orientation...
Recurrent Neural Networks (RNNs) are often used for sequential modeling ...
It is non-trivial to design engaging and balanced sets of game rules. Mo...