dataset evaluation
The process of assessing the quality and suitability of datasets for training machine learning models, including considerations like bias, representativeness, and completeness.
- Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning
- CHASM: Unveiling Covert Advertisements on Chinese Social Media
- DQVis Dataset: Natural Language to Biomedical Visualization
- DataSIR: A Benchmark Dataset for Sensitive Information Recognition
- Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
- Scaling Image Geo-Localization to Continent Level
- Seeking and Updating with Live Visual Knowledge
- Training-free Online Video Step Grounding
- Understanding while Exploring: Semantics-driven Active Mapping