awesome-active-learning
github.com/yongjin-shin/awesome-active-learning ↗Awesome Active Learning Paper List
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me pool-based sampling resources from awesome-active-learning"
Installation instructions →What's inside
Papers
- Active Instance Sampling via Matrix PartitionPool-Based Sampling
- Active Learning for Convolutional Neural Networks: A Core-Set ApproachCoreset
- Active Learning for Multi-Objective OptimizationPool-Based Sampling
- Active Learning for Probabilistic Hypotheses Usingthe Maximum Gibbs Error CriterionPool-Based Sampling
- Active Learning from CrowdsPool-Based Sampling
- Active Learning from Imperfect LabelersTheory
Showing a sample of 56 resources. View the full list on GitHub →