A Survay of Human-in-the-loop for Machine Learning

Written By Matteo Bertoia
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The paper provides a comprehensive review of Human-in-the-Loop (HITL) methodologies in machine learning. It categorizes HITL approaches into three main areas: data processing, interventional model training, and system-independent HITL design. It also discusses challenges and future directions for HITL-based AI systems​.

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A Survay of Human-in-the-loop for Machine Learning

A human-in-the-loop data processing pipeline

Matteo Bertoia
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