Diversified Ensembling: An Experiment in Crowdsourced Machine Learning

Author:

Globus-Harris Ira1ORCID,Harrison Declan1ORCID,Kearns Michael1ORCID,Perona Pietro2ORCID,Roth Aaron3ORCID

Affiliation:

1. Computer and Information Sciences, University of Pennsylvania, USA and Amazon Web Services Artificial Intelligence (AWS AI), USA

2. California Institute of Technology, USA and Amazon Web Services Artificial Intelligence (AWS AI), USA

3. Computer and Information Sciences, University of Pennsylvania, Amazon AWS AI, USA and Amazon Web Services Artificial Intelligence (AWS AI), USA

Funder

Amazon Web Services

Publisher

ACM

Reference25 articles.

1. Benji Andrews Hema Natarajan Maggie Ron Ellis and Ryan Holbrook. 2023. Benetech - Making Graphs Accessible. https://kaggle.com/competitions/benetech-making-graphs-accessible

2. Avrim Blum and Moritz Hardt. 2015. The Ladder: A Reliable Leaderboard for Machine Learning Competitions. In Proceedings of the 32nd International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol. 37), Francis Bach and David Blei (Eds.). PMLR, Lille, France, 1006–1014. https://proceedings.mlr.press/v37/blum15.html

3. Aaron Carman Alexander Heifler Ashley Chow and Ryan Holbrook. 2023. ICR - Identifying Age-Related Conditions. https://kaggle.com/competitions/icr-identify-age-related-conditions

4. US Census. October 20 2022. 2021 ACS PUMS Data Dictionary. Data Dictionary. US Census. https://www2.census.gov/programs-surveys/acs/tech_docs/pums/data_dict/PUMS_Data_Dictionary_2021.pdf

5. Sophie Chou, William Li, and Ramesh Sridharan. 2014. Democratizing data science. In Proceedings of the KDD 2014 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA. 24–27.

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