Norbert Bus

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Norbert Bus trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sebastian Ruder

Papers from Norbert Bus's perspective

Ordered by how strongly the researchers Norbert Bus trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fully convolutional networks for semantic segmentation
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. An Overview of Multi-Task Learning in Deep Neural Networks
  10. Learning Multiple Layers of Features from Tiny Images

Their papers