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Found 3 papers, 2 papers with code
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
Algorithms provide powerful tools for detecting and dissecting human bias and error.
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Medical image segmentation models are typically supervised by expert annotations at the pixel-level, which can be expensive to acquire.
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference
The challenge of speeding up deep learning models during the deployment phase has been a large, expensive bottleneck in the modern tech industry.
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