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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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2 results for “Snorkel DryBell”

Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scalecs.LG

Snorkel DryBell uses weak supervision to speed up machine learning model development.

problem Costly label data in machine learning applications.

method Flexible ingestion of organizational knowledge, cross-feature production serving, scalable execution.

result Comparable quality to hand-labeled models, 52% performance improvement on average.

weak supervision machine learning Snorkel DryBell Google classification tasks

2018-12-02abs ↗pdf ↗

Snorkel: Rapid Training Data Creation with Weak Supervisioncs.LG

Labeling training data is increasingly the largest bottleneck in deploying machine learning systems. We present Snorkel, a first-of-its-kind system that enables users to train state-of-the-art models without hand labeling any training data. Instead, users write labeling functions that express arbitrary heuristics, whic…

2017-11-28abs ↗pdf ↗