Concepedia

Interpretable machine learning

Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

Communications of the ACM · 2022 · 211 citations · 13 references

DOIFull text

Open access

Concepts

Abstract

Computer Vision: Classifier to detect objects in images Use Case: Debug the model by identifying if it uses positive spurious correlations (that is, relies on object Y to detect object X).

References

13

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das et al. · 2017 · 21.6K citations

, , +16

Advances in Neural Information Processing Systems 29

Onur Teymur, Kostas Zygalakis, Ben Calderhead · 2016 · 13.5K citations

, , +12

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Cynthia Rudin · Nature Machine Intelligence · 2019 · 9K citations · Full text

, , +11

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Sebastian Bach, Alexander Binder, Grégoire Montavon et al. · PLoS ONE · 2015 · 4.6K citations · Full text

, , +14

Definitions, methods, and applications in interpretable machine learning

William J. Murdoch, Chandan Singh, Karl Kumbier et al. · Proceedings of the National Academy of Sciences · 2019 · 2.1K citations · Full text

, , +13