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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.

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1 result for “self-auxiliaries”

Small Towers Make Big Differencescs.LG

Small parameterized towers improve multi-task learning efficiency and generalization.

problem Balancing Pareto efficiency and generalization in multi-task learning.

method Under-parameterized self-auxiliaries for multi-task models.

result Small parameterized towers enhance Pareto efficiency in various multi-task applications.

multi-task learning Pareto efficiency generalization under-parameterization self-auxiliaries

2020-08-13abs ↗pdf ↗