generalization
Everything on Ground Truth tagged “generalization” — 3 items.
Shortcut learning: when a model gets the right answer for the wrong reason Lesson
Shortcut learning is what happens when a model finds a cue that correlates with the right answer but has nothing to do with the actual task, and uses it instead of learning the thing you wanted.
Weak-to-Strong Generalization: how a worse teacher can train a better student Lesson
Weak-to-strong generalization is the finding that a strong model trained on a weaker model's flawed labels can substantially outperform its teacher, which is the only reason humans have any hope of supervising systems smarter than themselves.
Grokking: When a Model Suddenly 'Gets It' Long After It Should Have Lesson
Grokking is a training phenomenon where a neural network first memorizes its training data with near-zero understanding, then -- after a long, flat plateau of continued training -- abruptly generalizes and starts solving unseen examples correctly.