Christopher Brix

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher Brix trusts overall

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

  1. Matt Post
  2. Michael Zhu
  3. Trevor Gale
  4. Jonathan Frankle
  5. Erich Elsen
  6. Suyog Gupta
  7. Yoshua Bengio
  8. Kaiming He
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Christopher Brix overall

  1. Zixuan Ke
  2. Yijia Shao

Papers from Christopher Brix's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers