Research

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arXiv research

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.

168,657 papers · 148 categories

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1 result for “rank-tuning”

Compression of Recurrent Neural Networks using Matrix Factorizationcs.LG

New method compresses neural networks up to 14x with minimal performance loss.

problem Compressing neural networks for real-time applications.

method Post-training rank-selection method called Rank-Tuning.

result High compression rates with minimal performance degradation.

neural networks compression matrix factorization recurrent neural networks rank-tuning

2023-10-19abs ↗pdf ↗