The Artificial PostAccount
Researchers

Jimmy Ba

Efficient AIUniversity of TorontoOfficial profile

Making optimization and attention more efficient.

Ba studies optimization, representation learning, and efficient neural networks. Adam and layer normalization are central starting points in this selection, followed by work on training, evaluating, and adapting language models.

Selected work

10 papers

2016 · Representation learning

Layer Normalization

Layer normalization normalizes a network's activations within an individual training example rather than across a batch.

Paper & context

An independent editorial profile. Inclusion does not imply Council membership or endorsement. Research is collaborative; coauthorship does not imply sole credit.

Selection & sources