Appendix
–Neural Information Processing Systems
We provide concrete rules below for the two competition tracks that comprise DATACOMP: filtering and BYOD . Additionally, we provide a checklist, which encourages participants to specify design decisions, which allows for more granular comparison between submissions. A.1 Filtering track rules Participants can enter submissions for one or many different scales: small, medium, large or xlarge, which represent the raw number of image-text pairs in CommonPool that should be filtered. After choosing a scale, participants generate a list of uids, where each uid refers to a COMMONPOOL sample. The list of uids is used to recover image-text pairs from the pool, which is used for downstream CLIP training.
Neural Information Processing Systems
Apr-27-2026, 16:21:51 GMT
- Country:
- Asia (0.46)
- North America > United States (0.45)
- Genre:
- Overview (0.68)
- Research Report > New Finding (0.45)
- Industry:
- Law (1.00)
- Information Technology > Security & Privacy (0.67)
- Technology:
- Information Technology
- Sensing and Signal Processing > Image Processing (1.00)
- Information Management (0.93)
- Data Science (0.92)
- Communications > Social Media (0.92)
- Security & Privacy (0.67)
- Artificial Intelligence
- Vision (1.00)
- Representation & Reasoning (0.93)
- Natural Language > Text Processing (0.46)
- Machine Learning
- Neural Networks (0.68)
- Performance Analysis > Accuracy (0.67)
- Information Technology