Software Engineering of Machine Learning Systems-Reference-Cited by-同舟云学术

Software Engineering of Machine Learning Systems

Author:

Isbell Charles¹,Littman Michael L.²,Norvig Peter³

Affiliation:

1. Georgia Tech in Atlanta, GA

2. Brown University in Providence, RI and Georgia Tech

3. Stanford University in Stanford, CA and Google

Abstract

Seeking to make machine learning more dependable.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

Reference8 articles.

2. Grother, P. et al. Face Recognition Vendor Test (FRVT). National Institute of Standards and Technology, (Dec. 2019).

3. Kleinberg, M. et al. Inherent Trade-Offs in the Fair Determination of Risk Scores. CoRR, (2016).

4. Krakovna, V. and Uesato, J. et al. Specification gaming: The flip side of AI ingenuity. DeepMind Blog, (Apr. 2020).

5. Mehrabi, N. and Morstatter, F. et al. A Survey on Bias and Fairness in Machine Learning, CoRR, (2019).

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