Research
On-device research index

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.

169,051 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Jan 201919922001200920172026
1 result for “Depth-Adaptive”
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Datacs.NE

DA-LSTM adapts LSTM depth to non-uniform data, improving efficiency.

problem Non-uniform information distribution in sequential data cannot be accurately modeled by traditional LSTM.
method Developed DA-LSTM architecture that dynamically adjusts LSTM depth based on information distribution.
result DA-LSTM reduces computation resource usage and convergence time by 41.78% and 46.01% respectively.
Long Short-Term MemoryDepth-AdaptiveSequential DataNon-uniform InformationEfficiency Improvements
2019-01-18abs ↗pdf ↗