DynamiCS dynamically scales semantic clusters per training epoch to reduce VLM pre-training compute while improving accuracy on long-tail concepts compared to static or flattening baselines.
On the De-Duplication of LAION-2B.CoRR, abs/2303.12733
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Dynamic Cluster Data Sampling for Efficient and Long-Tail-Aware Vision-Language Pre-training
DynamiCS dynamically scales semantic clusters per training epoch to reduce VLM pre-training compute while improving accuracy on long-tail concepts compared to static or flattening baselines.