1k citations · 1.2k across the 7 of their papers we have counts for
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cs.LG2023★ 2 cited
A Theory on Adam Instability in Large-Scale Machine Learning
Igor Molybog, Peter Albert, Moya Chen +14
We present a theory for the previously unexplained divergent behavior noticed in the training of large language models. We argue that the phenomenon is an artifact of the dominant…
cs.LG2023★ 1 cited
Effective Theory of Transformers at Initialization
Emily Dinan, Sho Yaida, Susan Zhang
We perform an effective-theory analysis of forward-backward signal propagation in wide and deep Transformers, i.e., residual neural networks with multi-head self-attention blocks a…
cs.LG2019★ 1k cited
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI, :, Christopher Berner +24
On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game. The game of Dota 2 presents novel challenges for AI systems such as lo…