concept:multi-objective-training

Multi Objective Training

Multi Objective Training in the context of production machine-learning systems.

Lessons

Formal explanations, examples, simulations, and checkpoints.

Loss functions by task, data, and deployment constraints

Choose and debug training objectives as optimization surrogates for the real task, including imbalance, outliers, uncertainty, ranking, dense prediction, and generation.

Courses & assignments

Dependency-authoritative learning units.

Casebook

Reported facts and course reconstructions.