#perceiver-architecture News & Analysis

In-Context Multiple Instance Learning

Researchers propose an in-context learning approach for Multiple Instance Learning (MIL) using Perceiver-style architecture pretrained on synthetic data, enabling models to solve new tasks with minimal labeled examples. The method outperforms supervised baselines across twelve benchmarks while requiring no task-specific training at inference time.