Efficiently Learning Relative Similarity Embeddings with Crowdsourcing

Python Submitted 31 May 2022Published 17 April 2023
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Editor: @ajstewartlang (all papers)
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Authors

Scott Sievert (0000-0002-4275-3452), Robert Nowak, Timothy Rogers (0000-0001-6304-755X)

Citation

Sievert et al., (2023). Efficiently Learning Relative Similarity Embeddings with Crowdsourcing. Journal of Open Source Software, 8(84), 4517, https://doi.org/10.21105/joss.04517

@article{Sievert2023, doi = {10.21105/joss.04517}, url = {https://doi.org/10.21105/joss.04517}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {84}, pages = {4517}, author = {Scott Sievert and Robert Nowak and Timothy Rogers}, title = {Efficiently Learning Relative Similarity Embeddings with Crowdsourcing}, journal = {Journal of Open Source Software} }
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crowdsourcing active machine learning relatively similarity adaptive sampling

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ISSN 2475-9066