"Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy ..."

Chris Lengerich et al. (2022)

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DOI: 10.48550/ARXIV.2212.11353

access: open

type: Informal or Other Publication

metadata version: 2023-01-04

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  - journals/corr/abs-2212-11353
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  - https://dblp.org/rec/journals/corr/abs-2212-11353
Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood:
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning. CoRR abs/2212.11353 (2022)

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