A simple framework for contrastive learning of visual representations.

Chen, T., & Hinton, G. (2017). A simple framework for contrastive learning of visual representations. Proceedings of the 37th International Conference on Machine Learning.

Type

Conference paper

Intellectual base

Primary research

Year

2017

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Cited from

art_aesthetics

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1 citation across 1 artifact.

Primes

• Juxtaposition
  • Contemporary contrastive learning in machine learning (Hadsell et al. 2006, Chen & Hinton 2017) formalizes juxtaposition as an explicit training signal: pair similarity (positive examples close in representation space) and pair dissimilarity (negative examples far in space) to produce discriminative representations

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