Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 41× · AI/ML
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Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo

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Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. Retrieved May 24, 2026, from https://4ort.xyz/entity/dual-temperature-helps-contrastive-learning-without-many-negative-samples-towards-understanding-and-simplifying-moco
MLA “Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dual-temperature-helps-contrastive-learning-without-many-negative-samples-towards-understanding-and-simplifying-moco.
BibTeX @misc{4ortxyz_dual-temperature-helps-contrastive-learning-without-many-negative-samples-towards-understanding-and-simplifying-moco_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo}}, year = {2026}, url = {https://4ort.xyz/entity/dual-temperature-helps-contrastive-learning-without-many-negative-samples-towards-understanding-and-simplifying-moco}, note = {Accessed: 2026-05-24}}
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