human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Cross Modal Distillation for Supervision Transfer"):
  Abstract: In this work we propose a technique that transfers supervision between images from different modalities. We use learned representations from a large labeled modality as supervisory signal for training representations for a new unlabeled paired modality. Our method enables learning of rich representations for unlabeled modalities and can be used as a pre-training procedure for new modalities with limited labeled data. We transfer supervision from labeled RGB images to unlabeled depth and optical flow images and demonstrate large improvements for both these cross modal supervision transfers.

Includes members:
  Member "Viewpoints and keypoints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Viewpoint-aware object detection and pose estimation")
  Member "Learning to Learn: Model Regression Networks for Easy Small Sample Learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Dynamic Conditional Networks for Few-Shot Learning")
  Member "Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System.":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science