HiBug2 discovers error slices in vision models via structured GPT-generated attributes, efficient enumeration, and prediction of unseen failure patterns, improving model repair over prior methods.
The spotlight: A general method for discovering systematic errors in deep learning models
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HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
HiBug2 discovers error slices in vision models via structured GPT-generated attributes, efficient enumeration, and prediction of unseen failure patterns, improving model repair over prior methods.