JieyuZ2/Awesome-Weak-Supervision

Building machine learning models often requires vast amounts of labeled data, which can be expensive and time-consuming to create. This resource compiles research papers and tools focused on "weak supervision," a technique that uses programmatic rules or heuristics to automatically generate training data. If you are a machine learning practitioner or researcher, you can explore various approaches to efficiently label data using existing knowledge or simple scripts, helping you build models faster with less manual effort. This collection provides insights into generating training sets from rule-based inputs.

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