Reviews: Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

Originality: - The authors claim this paradigm towards specifying ML models is novel. It is somewhat difficult for me to assess the originality of this work as it's not exactly my area, but I am inclined to agree that their approach seems new and interesting. Quality: - Section 3.3: It's quite generous to call these "key properties" of the model, as really they refer to the results of this particular instantiation of slice-based learning on this toy dataset. It's definitely nice to see that the approach works on a toy dataset, but I would strongly consider reframing this section. The latter two are adequately addressed in the paper and experiments, but the noise aspect was not really addressed.