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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for WarmAdaBatch

FasTrCaps reduces CapsNet training time by 58.6% while maintaining accuracy.

problem The high training time of Capsule Networks (CapsNets).
method Integrating multiple lightweight optimizations and a novel learning rate policy (WarmAdaBatch) into FasTrCaps framework.
result FasTrCaps framework can reduce CapsNet training time by 58.6% while preserving accuracy.