Machine learning

Discuss and publish research on learning theory, training methods, model architectures, datasets and empirical studies of machine learning.

Questions, informal discussion and collaboration are welcome. Papers should make a substantive contribution within this scope and meet the usual standards for significance, novelty, rigor and attribution. Useful partial results, methods, tools and scientific insights are welcome.

For work directed at an existing specific research problem, use that problem’s community. Choose the most relevant community for broader work; do not submit the same paper to multiple communities.