GShard supplies automatic sharding and conditional computation support that enabled training a 600-billion-parameter multilingual translation model on thousands of TPUs with superior quality.
Tensorflow: a system for large-scale machine learning
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Multi-head attention constructs a graph of dataset relations from the teacher embedding procedure and transfers it to the student via multi-task learning, yielding 7.05% higher CIFAR-100 accuracy than the student alone and 2.46% above prior SOTA.
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GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
GShard supplies automatic sharding and conditional computation support that enabled training a 600-billion-parameter multilingual translation model on thousands of TPUs with superior quality.
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Graph-based Knowledge Distillation by Multi-head Attention Network
Multi-head attention constructs a graph of dataset relations from the teacher embedding procedure and transfers it to the student via multi-task learning, yielding 7.05% higher CIFAR-100 accuracy than the student alone and 2.46% above prior SOTA.