(e.g., ImageNet, a local project, or a specific website?)
Measuring the cross-entropy loss contribution of this single image during a training epoch. 148_1000.jpg
Summary of how individual data point audits can lead to more robust AI models. a local project
To investigate the representational value of specific data points within the broader training set. 2. Methodology 148_1000.jpg
Recommendations for automated "cleaning" of datasets based on high-loss samples.
Edge cases or "noisy" samples (like 148_1000.jpg ) can disproportionately affect model convergence or bias.
Generating Grad-CAM visualizations to identify which pixels the model focuses on when classifying this specific image. 3. Results & Discussion