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cs.LG2023
Unit Scaling: Out-of-the-Box Low-Precision Training
Charlie Blake, Douglas Orr, Carlo Luschi
We present unit scaling, a paradigm for designing deep learning models that simplifies the use of low-precision number formats. Training in FP16 or the recently proposed FP8 format…
cs.LG2021★ 2 cited
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
Charlie Blake, Vitaly Kurin, Maximilian Igl +1
Recent research has shown that graph neural networks (GNNs) can learn policies for locomotion control that are as effective as a typical multi-layer perceptron (MLP), with superior…