Lec 17. Generalization: Out-of-Distribution (OOD)
MIT OpenCourseWare · 64:41
Out-of-distribution generalization is still one of the biggest open problems in modern ML: models that look solved on ImageNet-style IID benchmarks fail when the world shifts, and most successful deployments only work...