2026
Hedging on the frontier: Learning new tasks with few samples
ICML 2026spotlight
When a learner is faced with a new task, but is given very few samples, it must leverage any available side-information. In practice, this often comes in the form of benchmarks, where there is abundant data to evaluate model performance on related tasks. Though task relatedness is difficult to forma…