SMALLDATASCIENCE Telegram 635
#ссылка
Подборка ссылок по теме "Metric Learning"

Хороший большой обзор "Deep Metric Learning":
https://hav4ik.github.io/articles/deep-metric-learning-survey

Математические аспекты классического Metric Learning:
https://arxiv.org/pdf/1812.05944.pdf

библиотека для классического Metric Learning:
http://contrib.scikit-learn.org/metric-learn/introduction.html

Большой обзор "Contrastive Representation Learning"
https://lilianweng.github.io/lil-log/2021/05/31/contrastive-representation-learning.html

Обзор "Deep Metric Learning"
https://www.mdpi.com/2073-8994/11/9/1066/htm

Сравнение Loss-функций «A Metric Learning Reality Check»
https://arxiv.org/pdf/2003.08505.pdf

Одни из наиболее свежих Loss-функций:
Circle Loss: https://arxiv.org/pdf/2002.10857.pdf
Curriculum Face: https://arxiv.org/pdf/2004.00288.pdf



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#ссылка
Подборка ссылок по теме "Metric Learning"

Хороший большой обзор "Deep Metric Learning":
https://hav4ik.github.io/articles/deep-metric-learning-survey

Математические аспекты классического Metric Learning:
https://arxiv.org/pdf/1812.05944.pdf

библиотека для классического Metric Learning:
http://contrib.scikit-learn.org/metric-learn/introduction.html

Большой обзор "Contrastive Representation Learning"
https://lilianweng.github.io/lil-log/2021/05/31/contrastive-representation-learning.html

Обзор "Deep Metric Learning"
https://www.mdpi.com/2073-8994/11/9/1066/htm

Сравнение Loss-функций «A Metric Learning Reality Check»
https://arxiv.org/pdf/2003.08505.pdf

Одни из наиболее свежих Loss-функций:
Circle Loss: https://arxiv.org/pdf/2002.10857.pdf
Curriculum Face: https://arxiv.org/pdf/2004.00288.pdf

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