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Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
We present a novel architecture, residual attention net (RAN), which merges a sequence architecture, universal transformer, and a computer vision architecture, residual net, with a high-way architecture for cross-domain sequence modeling.
AI Matrix - Synthetic Benchmarks for DNN
In this work, a synthetic benchmarks framework is firstly proposed to address the above drawbacks of AI benchmarks.
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