Fine-Tuning Video Models on 10% Data Yields Stronger Results
burny_tech · x · 2026-07-11
A study awarded ICML 2026 Outstanding Paper Honorable Mention finds:
- When fine-tuning video models, using only 10% of the data can outperform training on 100% of the data.
- The key is not static visual similarity but selecting training data based on physical motion.
- This work is done by researchers from NVIDIA, Princeton, MIT.
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