Deployment, Robustness, Ethics, and Review
Distribution shift, fairness, latency budgets, monitoring, and structured failure analysis, plus course synthesis.
Key Terms
Distribution ShiftFairnessLatency / ThroughputMonitoringFailure AnalysisModel Cards
Python Tools
PyTorchONNX RuntimeOpenCVNumPy
Textbook Reference
Szeliski Ch.6
Topics Covered
- 1Domain and covariate shift, robustness testing, and corruption benchmarks
- 2Fairness: subgroup metrics, dataset audits, and documentation with model cards
- 3Deployment engineering: quantization, latency and throughput budgets, and edge constraints
- 4Production monitoring, drift detection, and human-in-the-loop review
- 5Structured failure analysis, course synthesis, and project presentations
Learning Outcomes
- Diagnose distribution shift and design robustness evaluations
- Measure subgroup fairness and communicate limitations responsibly
- Plan latency, monitoring, and failure-analysis practices for a deployed system
Lecture PDFs
Deployment, Robustness, Ethics, and Review
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