1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Scalable Training of Language Models using JAX pjit and TPUv4
Joanna Yoo, Kuba Perlin, Siddhartha Rao Kamalakara +1
Modern large language models require distributed training strategies due to their size. The challenges of efficiently and robustly training them are met with rapid developments on…
cs.LG2020★ 1 cited
Improving compute efficacy frontiers with SliceOut
Pascal Notin, Aidan N. Gomez, Joanna Yoo +1
Pushing forward the compute efficacy frontier in deep learning is critical for tasks that require frequent model re-training or workloads that entail training a large number of mod…