You're currently viewing an old version of this dataset. To see the current version, click here.

DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training

We propose DisCo-CLIP, a distributed memory-efficient CLIP training approach, to reduce the memory consump- tion of contrastive loss when training contrastive learning models.

Data and Resources

This dataset has no data

Cite this as

Yihao Chen, Xianbiao Qi, Jianan Wang, Lei Zhang (2024). Dataset: DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training. https://doi.org/10.57702/mxicig2x

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2304.08480
Author Yihao Chen
More Authors
Xianbiao Qi
Jianan Wang
Lei Zhang
Homepage https://github.com/IDEA-Research/DisCo-CLIP