yongjin-shin/awesome-active-learning
Awesome Active Learning Paper List
This is a curated list of academic papers and tutorials focused on 'active learning' within machine learning. It helps researchers and practitioners explore different strategies for efficiently training machine learning models by intelligently selecting the most informative data to label. You provide a general problem, and this resource offers theoretical foundations and practical methods (papers, seminars) to optimize the data labeling process.
148 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or data scientist looking for academic resources to understand and implement active learning techniques for more efficient model training.
Not ideal if you need a plug-and-play software library or a high-level, non-technical overview of machine learning concepts.
Stars
148
Forks
18
Language
—
License
—
Category
Last pushed
Apr 23, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yongjin-shin/awesome-active-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ntucllab/libact
Pool-based active learning in Python
scikit-activeml/scikit-activeml
scikit-activeml: A Comprehensive and User-friendly Active Learning Library
python-adaptive/adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
NUAA-AL/ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to...
ai4co/awesome-fm4co
Recent research papers about Foundation Models for Combinatorial Optimization