Mar 23, 2023 · In this paper, we analyse the behaviour of one of the most popular variants of SSL, ie contrastive methods, on long-tail data.
Feb 1, 2023 · Simple temperature schedules in self-supervised contrastive learning improve representation learning on long-tail distributions.
In this paper, we analyse the behaviour of one of the most popular variants of SSL, ie contrastive methods, on long-tail data.
In this paper, we analyse the behaviour of one of the most popular variants of SSL, i.e. contrastive methods, on long-tail data. In particular, we investigate ...
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. March 2023. Authors: Anna Kukleva at Max Planck Institute for Informatics.
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Mar 1, 2023 · By analysing the impact of the temperature parameter in the contrastive loss function, we are able to propose a simple yet highly effective ...
Explore all code implementations available for Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data.
Temperature schedules for self-supervised contrastive methods on long-tail data ... Learning by Sorting: Self-supervised Learning with Group Ordering Constraints.
Mar 23, 2023 · In this work, we discover the surprising effectiveness of temperature schedules for self-supervised contrastive representation learning on ...
May 1, 2023 · By analysing the impact of the temperature parameter in the contrastive loss function, we are able to propose a simple yet highly effective approach.